News

Orlando, Florida (USA), 29 September 2025 — The scramble to feed AI and analytics with fresh, trustworthy data became easier. IBM® StreamSets now delivers smart, real-time data pipelines through an intuitive, low-code data integration studio, so teams can integrate data across hybrid and multicloud estates without stitching together brittle tools.

At the heart of the offer is a unified control plane, also available within IBM watsonx.data integration, which lets you design reusable pipelines across integration styles (batch, streaming, CDC, unstructured) and data types. The result: fewer siloed tools and less rework as technologies evolve.

Performance is built in. IBM StreamSets real-time data integration is engineered to ingest millions of records across thousands of pipelines within seconds, reducing data staleness for modern analytics and intelligent apps. Its prebuilt, drag-and-drop processors detect and adapt to data drift, insulating pipelines from upstream changes that used to break production flows.

Deploy anywhere your data lives. Run IBM StreamSets as SaaS on major hyperscalers, AWS and Azure listings are available today, and deploy engines into your own VPCs. Teams working on Google Cloud can still deploy engines in their GCP projects and VPCs (even without a marketplace listing), with documented patterns for GCE deployments.

For programmatic productivity, the StreamSets SDK for Python lets engineers template, secure, and roll out pipelines at scale—ideal for DataOps automation with StreamSets and consistent policy enforcement. The latest 6.6 release expands enterprise controls and streamlines developer workflows.

StreamSets is now fully part of IBM’s Data & AI portfolio, following IBM’s acquisition of the technology, strengthening the company’s end-to-end integration and data ingestion stack for AI-ready architectures.

Why it matters (fast)

• One pane of glass: Design, run, and govern streaming pipelines via a single control hub, no hand coding required.
• Future-proof pipelines: Automatic resilience to schema shifts and source changes minimizes firefighting.
• Open destinations: Move structured, semi-structured, and unstructured data to your lakes, warehouses, and event hubs.
• Hybrid by design: SaaS control with engines in your cloud or on-premises network for data residency and security.

High-impact use cases

• AI & analytics in real time: Stream clickstreams, IoT telemetry, and transaction feeds into lakehouses to power instant insights and model features.
• Change Data Capture to cloud: Mirror operational databases to Azure Synapse or AWS analytics services with low latency for modernization projects.
• Data reliability at scale: Tame constant upstream change (data drift) to keep executive dashboards and AI pipelines accurate.
• Governed multicloud ingest: Deploy engines in your own VPCs on AWS, Azure, or GCP to satisfy sovereignty and compliance needs.

Ready to turn streaming chaos into a competitive advantage? Partner with Prolifics. Our architects design watsonx.data-ready pipelines, accelerate time-to-value on AWS/Azure/GCP, and operationalize DataOps with the StreamSets Python SDK, so your teams ship reliable, real-time data to every product and decision.

With our expertise in IBM StreamSets, we help enterprises modernize with hybrid multicloud data pipelines and future-proof their investments through DataOps automation with StreamSets and intuitive low-code data integration strategies.

Let’s build your first production-grade pipeline together, partner with Prolifics today.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

ORLANDO, Florida., September 19, 2025: When every second counts, your service desk can’t afford swivel-chair searches or guesswork routing. IBM® Maximo IT 9.1, now enhanced with AI-native assistance, puts intelligence at the core of incident management, recommending owners, surfacing similar tickets and fixes, and speeding resolution from the very first touch. This represents a significant step forward in AI Maximo Integration for enterprise IT teams.

What’s New and Why It Matters

The new Maximo AI Service integrates Maximo IT with watsonx™ large language models, powering advanced capabilities such as ticket assignment recommendations, solution suggestions, and “find-similar” insights across historical data. Running Granite™ foundation models (including Granite 20B Multilingual and Granite 13B) in the cloud, the service delivers IT Service Management AI solutions without forcing teams to reinvent their stack.

As of August 1, 2025, Maximo AI Service 9.1 replaces AI Broker, supporting MAS 9.0 and 9.1 deployments.

Tangible Outcomes for IT Teams

• Smarter triage: Smarter triage: AI proposes the best owner and category in seconds, enabling Smart Ticket Recommendations.
• Faster fixes: Agents instantly see likely solutions and related incidents.
• Happier teams: SREs and managers spot automation opportunities.
• Consistency at scale: Models adapt continuously to real-world tickets.

How It Works (Simplified)

1. Connect Maximo IT to AI Service – Securely authenticate and configure system properties to enable AI Maximo Integration.
2. Configure Models – Use Multi-Class Classification (MCC) and Similarity Models to align with workflows.
3. Train with Data – Feed historical tickets to deliver context-aware predictions powered by watsonx Maximo IT.

Admins may also leverage CLI-driven deployments for streamlined environments.

Inside Maximo AI Service

• AI Integration Hub – Manages configuration, training, health checks, and inference routing for IT Service Management AI.
• Granite Models on watsonx – Enterprise-grade LLMs deliver robust recommendations without manual model management.
• MAS-Wide Unlocks – – Extend AI-driven recommendations across problem codes and work orders.

Why Prolifics

As a long-standing IBM partner, Prolifics bridges Maximo and watsonx to deliver real business value:

• Blueprint to Value – Build AI-ready taxonomies to accelerate MCC and similarity model performance.
• Secure-by-Design Enablement – Align connectivity and governance from day one.
• Pilot to Production – Curate training sets, refine thresholds, and optimize UX for adoption.
• Scalable Roadmap – Expand to conversational assistants and guided ticketing for self-service, further enhancing IT Service Management AI capabilities.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Bengaluru — 23 September 2025 — Prolifics, a global digital transformation leader with four decades of innovation, today announced the acquisition of Castaliaz Technologies Pvt. Ltd., a premier SAP Gold Partner with delivery centers in Mumbai and Bengaluru. The deal significantly accelerates Prolifics’ SAP growth ambitions, uniting deep SAP S/4HANA expertise, certified delivery operations, and proven industry accelerators into a single, full-scale partner for end-to-end SAP transformation and managed services worldwide.

What the acquisition delivers, at a glance

• Scale on day one: 140+ SAP specialists; 30+ S/4HANA transformations; 60+ maintenance engagements.
• Certified excellence: Long-standing SAP credentials, including S/4HANA solution certifications.
• Speed to value: Industry accelerators, Castalife (Pharma), Castachem (Chemicals), Castashine (Jewellery), plus barcode integration, gate entry automation, and digital compliance add-ons.
• Global delivery, local strength: Indian CoEs connected to Prolifics’ client base across North America, Europe, and the Middle East.
• AI-ready estates: Combined strengths in AI, data engineering, governance, and quality assurance to modernize and operate SAP securely at scale.

Satya Bolli, Managing Director, Prolifics, said:

“Prolifics has guided enterprises through the most complex phases of technology evolution. Castaliaz strengthens our ability to deliver SAP programs at scale, embedding our AI-powered testing frameworks across the full SAP lifecycle. This acquisition aligns seamlessly with our expansion plans in the Indian market.”

Ivan Noronha, Co-founder & Director, Castaliaz, added:

“Castaliaz was founded on the belief that businesses shouldn’t just run SAP, they should thrive on it. As part of Prolifics, we’ll help customers modernize faster, from SAP ECC to S/4HANA, on to SAP Cloud ERP (Private and Public) and the SAP Business Technology Platform, all backed by certified delivery. We’re scaling globally while maintaining delivery excellence in India to unlock transformative value.”

India-first impact with global reach

Indian enterprises gain a stronger, certified partner to accelerate RISE with SAP and S/4HANA journeys, greenfield, brownfield, or hybrid. The merged team embeds India-specific digital compliance, including GST, e-Invoicing, and e-Way Bill, directly into core SAP processes. Operations-intensive industries such as life sciences, retail, and manufacturing benefit from fully digitized shop-floor solutions (MES, LIMS), validated processes for packaging, labeling, and stability studies, plus pervasive barcoding for traceability, throughput, quality, and audit-readiness.

End-to-end SAP lifecycle—delivered

With Castaliaz’s delivery strengths and Prolifics’ leadership in AI, Data & Analytics, integration, automation, and testing, clients get a single strategic partner for:

• Advisory & implementation (ECC to S/4HANA, RISE with SAP)
• BTP innovations and ecosystem integration
• Managed services & continuous improvement with measurable business outcomes
• Governed, secure, AI-ready SAP landscapes aligned to Industry 4.0

About Prolifics

Prolifics, founded in 1978, is a global digital engineering and technology consulting firm that helps businesses with their digital transformation journeys, specializing in areas like Data & AI, cloud, integration, automation, and testing. Today, the company supports clients across four core industries – Healthcare & Life Sciences, Banking and Financial Services, Retail and Manufacturing, and Energy & Utilities. With more than 2,000 professionals across 10 strategic locations, Prolifics delivers tailored solutions in areas such as AI/ML, MLOps, real-time analytics, intelligent automation, hybrid cloud platforms, and next-gen enterprise modernization. In the recent past, the company’s strategic acquisitions in Data Analytics and Salesforce in North America, together with Red Hat and Testing excellence in the UK, have significantly strengthened its expertise in analytics, quality engineering, open-source modernization, and Salesforce.

About Castaliaz

Castaliaz, founded in 2008 and headquartered in Mumbai, has long been recognized for its ability to deliver complex, business-critical SAP programs for both mid-market and large enterprises. With end-to-end lifecycle services including RISE with SAP, cloud hosting, BTP implementations, and SAP Digital Compliance, Castaliaz has served more than 50+ clients across industries. Signature projects include S/4HANA transformation for a Large Pharmaceuticals company and digital transformation from ECC-to-S/4HANA for Large Winery company in Nashik, India, underscoring its strength in delivering results in high-stakes environments.

Media Contact (India) : Chithra S, Prolifics India | chithra.sivaramakrishnan@prolifics.com | +91 40 39991711

ORLANDO, Florida., September 19, 2025 –  We’re entering a new golden age in frontend engineering, one where your development toolchain is no longer weighed down by configuration fatigue or sluggish runtimes. The days of juggling ESLint + Prettier, drowning in config hell, and enduring slow linting are fading fast.

At Prolifics, we’re embracing the revolution. AI-driven and Rust-powered solutions are stepping in to streamline your workflow with astonishing speed and precision, fueling a future where development becomes more agile, consistent, and most importantly, developer-first.

What’s Broken with the Old Stack?

• Snail-pace performance: Traditional tools struggle with large codebases, linting thousands of files can drag on for minutes, even with caching.
• Endless config maintenance: We’ve all fallen into “config hell”, countless files, conflicting rules, dependency trees that spiral out of control.
• Format vs lint collision: ESLint and Prettier often clash, forcing teams into endless debates about semicolon placements or line lengths.

Enter Biome: One Tool to Rule Them All

Biome, a high-performance toolchain written in Rust, eliminates these pain points by unifying linting and formatting under one roof. Here’s why the buzz is real:

• Rust-fast: Developers report linting and formatting massive repos in under a second, compared to tens of seconds with traditional JavaScript tools.
• Unified config: One biome.json replaces multiple ESLint, Prettier, and plugin configs, simplifying setup across the board.
• Seamless migration: Use biome migrate eslint and biome migrate prettier to auto-generate equivalent configuration in seconds.
• 95–97% compatibility: Biome supports the majority of Prettier rules and common ESLint configurations, earning it accolades and even monetary prizes from the ecosystem.
• VCS-aware intelligence: Only lint changed files by default, no need for separate tools like lint-staged, improving CI/CD speed and developer feedback loops.

Real-World Results That Speak Volumes

• AckerWorx slashed linting time: from ~35 seconds down to just ~5 seconds over ~2,500 files—delivering near-instant feedback and smoother developer flow.
• BloxBoom saw full-repo linting/formatting finish in under a second, anyone who’s waited minutes for tools to finish knows how game-changing that is.

But… What About Type-Aware Linting?

Yes, a caveat: ESLint with TypeScript (via typescript-eslint) offers type-checked lint rules, which Biome doesn’t fully replicate out of the box. However, teams report this is often an acceptable tradeoff given the massive gains in speed and simplicity. And for those rules that matter most, you can run both tools—using Biome for instant feedback and ESLint for deep type-aware checks.

Prolifics Is Ready, Are You?

At Prolifics, we don’t just follow trends, we spearhead them. We help forward-thinking teams adopt tools like Biome, ensuring:

• Lightning-fast developer cycles
• Fewer dependencies, fewer headaches
• Cleaner, more maintainable pipelines
• Seamless integration into CI/CD, editors, and monorepos

Ready to supercharge your frontend workflow?

Reach out to Prolifics today, and let’s help you transition from legacy toolchains to the AI-powered, Rust-driven future of development.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Westbury, New York, September 2, 2025 – Salesforce’s MuleSoft has launched a suite of AI-focused advancements designed to help enterprises enter the “agentic” age, a future defined by AI agents operating with autonomy, coordination, and governance.

At the heart of this innovation are two groundbreaking frameworks:

• Model Context Protocol (MCP): An open-source standard that enables seamless, governed, bidirectional communication between AI agents and enterprise systems. With MuleSoft MCP Support, organizations can transform any existing application or API into an “agent-ready” asset in just a few clicks. Features such as the MuleSoft MCP Connector, Flex Gateway for MCP, and API integration through Agentforce Topic Center bring robust control and interoperability to AI operations. This advancement represents comprehensive MuleSoft Model Context Protocol (MCP) Support, ensuring enterprises can future-proof integrations with governed, secure AI adoption.
• Agent2Agent (A2A): A protocol for secure, scalable communication between AI agents themselves. MuleSoft’s A2A Support makes multi-agent workflows discoverable, coordinated, and governed. This includes the A2A Connector and Flex Gateway for A2A, ensuring agents can collaborate dynamically to execute complex tasks. With MuleSoft’s new support for MCP and A2A protocols, enterprises gain the flexibility to unify agent-to-system and agent-to-agent communication without compromising governance.

Why It Matters

As organizations deploy more AI agents and the number of applications and models balloons, technology infrastructures often become tangled and siloed. A staggering 95% of IT leaders rank integration as the primary obstacle to realizing AI’s full potential.

MuleSoft’s new agent orchestration capabilities directly tackle these challenges by providing:

• Operational Autonomy – AI agents can execute tasks, access systems, and interact with one another securely and intelligibly.
• Governance and Visibility – Businesses retain control over AI behavior, auditability, and compliance across workflows.
• Efficiency and Scale – Teams can move beyond reactive automation and toward proactive, trusted AI-driven operations.

Real-World Impact: A Workflow in Action

Consider a real-world example: an observability agent detects a critical server failure in a platform like Datadog (agent-to-system). It alerts a database triage agent (agent-to-agent), which then consults a knowledge base for the solution. Once identified, the remediation agent reboots the relevant cloud service and provides an update via Slack (agent-to-agent to agent-to-system).

This workflow allows IT teams to offload routine issue handling, freeing them to focus on strategic innovation and customer experience enhancements.

Developer Productivity Gets a Boost

MuleSoft is not just focusing on agent action, it’s improving how developers build these integrations. The Anypoint Code Builder IDE now includes generative AI features that:

• Ramp up integration development with natural language prompts.
• Automatically generate API specs aligned with standards.
• Offer DataWeave transformations, powered by AI.
• Auto-generate API documentation upon publication via Anypoint Exchange.

These capabilities accelerate project timelines and make it easier to scale AI infrastructure.

Why Prolifics Is Your Ideal Partner for Agentic Transformation

Ready to translate innovation into impact? Prolifics offers the expertise, industry experience, and deep integration skills to help your organization harness the full potential of MuleSoft’s AI agent orchestration:

• Strategic Planning & Assessment: We analyze your IT landscape to uncover high-impact use cases for AI agents, aligned with your operational goals and risk profile.
• Architecture & Implementation: Whether you require MuleSoft Model Context Protocol (MCP) Support), A2A coordination, or generative AI tooling, Prolifics delivers turnkey design and deployment services.
• Governance & Compliance: Secure agent orchestration is core to everything we do—from ensuring access control and audit trails to enforcing enterprise-grade governance across every interaction.
• Acceleration Workshops: Through immersive hands-on sessions, we empower your teams to build, govern, and optimize real-world AI agent workflows quickly and confidently.

Contact Prolifics today to explore how MuleSoft’s new support for MCP and A2A protocols can transform your operations, and how we can be your trusted partner throughout that journey.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Enterprises relying on IBM i modernization (formerly AS/400 modernization) systems know it’s a powerhouse for mission-critical operations—trusted for reliability, performance, and cost efficiency. Yet modernizing legacy RPG-based applications remains a major hurdle: technical debt, scarce RPG expertise, and the risk of disrupting critical workflows transform a high-stakes challenge. To bridge this gap, IBM is introducing IBM watsonx Code Assistant for i, a generative AI powered coding assistant purpose-built to accelerate modernization with context-aware assistance directly in the developer’s IDE. IBM watsonx Code Assistant for i is at the center of a new wave of IBM i modernization, helping enterprises tackle RPG code challenges with AI-powered efficiency.

Purpose-Built for RPG & IBM i Workloads

Built on IBM’s flagship Granite code model, fine-tuned specifically for RPG and IBM i modernization applications, the assistant empowers developers—novices and veterans alike—with features to explain, document, and eventually generate or transform RPG code. Starting with context-aware code explanations, future updates will enable unit test generation, code transformations, and more, all integrated into Visual Studio Code environments.

This contextual intelligence addresses a glaring enterprise pain point: shrinking pools of RPG-trained developers. The RPG Code Assistant acts as a virtual mentor, helping newcomers understand complex codebases and veterans to accelerate enhancements—reducing ramp-up time and preserving institutional knowledge.

From Private Preview to Public Launch

Initially unveiled in early 2025 at IBM Think and later showcased at COMMON POWERUp, watsonx for IBM i is currently in private preview, with a public beta rolling out to early adopters soon. The first release will focus on code explanation features, with generation and test support arriving later in the year.

Clients will have cloud, on-prem, or hybrid deployment flexibility, aligning with governance models and data requirements. With AS/400 modernization becoming a pressing need, this flexibility ensures enterprises modernize at their own pace while maintaining compliance.

Why It Matters—Now

1. Accelerated Modernization – Developers can quickly comprehend and document legacy code, speeding up modernization projects and reducing delays.
2. Minimized Risk – Built-in intelligence and context-aware guidance help mitigate common errors and reduce disruption to critical business applications.
3. Talent Enablement – Bridging skill gaps ensures continuity even as seasoned RPG developers retire.
4. Future-Ready – With IBM AI coding tool transformation and test generation on the roadmap, enterprises can look forward to tangible productivity gains.

Prolifics: Your Trusted AI Modernization Partner

At Prolifics, we specialize in blending emerging AI capabilities into your core legacy modernization journey, safely and effectively. Here’s how we can help you activate IBM watsonx Code Assistant for i:

• Assessment & Strategy — We evaluate your current IBM i modernization AI architecture and pinpoint which applications would most benefit from RPG modernization.
• Pilot & Deployment – From private beta to production readiness, we provide hands-on deployment, integration into your existing IDEs and CI/CD pipelines, and enablement for your teams.
• Governance & Best Practices — Ensuring IP safety, code quality, and compliance remains core to our approach.
• ROI Realization – With context-aware code explanation and upcoming transformation features, you can expect faster project cycles, fewer errors, and stronger developer onboarding.

Take the Next Step Today

Ready to transform your IBM i modernization landscape with AI? Join the waitlist for IBM watsonx Code Assistant for i, and partner with Prolifics to unlock next-gen developer productivity and modernization speed safely and strategically.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

ORLANDO, Florida., September 9, 2025 –  In the fast-evolving world of enterprise AI, bridging the gap between proof-of-concept and production remains a critical challenge, one that Salesforce AI Research is now tackling head-on.

Digital Twin Testing with CRMArena-Pro

Salesforce’s new CRMArena‑Pro emerges as a powerful “digital twin” simulation environment, designed to rigorously test AI agents in complex multi-turn, multi-agent scenarios, think sales forecasting, service case triage, and CPQ workflows. By leveraging synthetic yet realistic data, this platform safely replicates enterprise chaos, legacy systems, noisy inputs, and intricate decision points, while securing sensitive data and enabling safe API interactions. This ensures AI agents are tested with the full complexity of real-world operations and not just idealized demos.

Quantifying Readiness with Agentic Benchmarks

To evaluate agent readiness and performance, Salesforce introduces the Agentic Benchmark for CRM, measuring five key enterprise metrics: accuracy, cost, speed, trust & safety, and sustainability. The latter is particularly noteworthy, it prompts organizations to align AI model complexity with task needs, minimizing unnecessary computational impact and supporting greener AI deployments. Complementing this is the dual benchmark system, MCP‑Eval targets synthetic testing across MCP servers, while MCP‑Universe stretches agents through execution-driven real-world scenarios.

Cleaner, Unified Data with Smart Account Matching

Recognizing that high-quality training and decision-making rest on solid data, Salesforce’s enhanced Data Cloud now features Account Matching. This LLM- and SLM-powered capability autonomously consolidates duplicated or inconsistent account data into single, authoritative records. One customer unified over a million accounts with 95% accuracy in just one month, while slashing average handling times by 30 minutes.

Why This Matters for You

• Accelerated ROI on AI: CRMArena-Pro dramatically reduces deployment risk by identifying failure points before rollout.
• Decision-Ready Analytics: Agentic Benchmarks provide measurable, actionable insights—no guesswork, just clear guidance.
• Operational Efficiency at Scale: Account Matching turns fragmented data landscapes into streamlined, actionable intelligence.

Salesforce isn’t just enabling AI deployment, it’s redefining what’s possible at scale. With robust testing, transparent evaluation, and data integrity, businesses can confidently usher in the era of the agentic enterprise, where AI operates alongside humans, reliably and sustainably.

Ready to Build an Agentic Enterprise with Confidence?

At Prolifics, we specialize in guiding organizations like yours through this AI frontier. Whether you’re just beginning to test AI workflows or gearing up to deploy agentic systems at scale, our deep expertise in Salesforce AI solutions, including CRMArena-Pro, Data Cloud, and Agentforce, ensures you move from concept to reality safely and swiftly.

About Prolifics Prolifics is a global technology solutions provider with over 47 years of expertise in empowering businesses through innovation and excellence. Specializing in digital transformation, AI, cloud, data, and automation, Prolifics partners with leading companies like IBM, Microsoft, Red Hat, EDB, AWS, and Google Cloud. From startups to global enterprises, Prolifics delivers tailored strategies that drive growth and measurable results.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

ORLANDO, Florida., September 2, 2025 – Snowflake has announced the public preview of Snowpark Connect for Apache Spark™, a groundbreaking advancement that allows organizations to execute Spark workloads directly within Snowflake warehouses, without the overhead of maintaining Spark clusters. With the arrival of Snowpark Connect for Apache Spark, enterprises can now modernize how they process data at scale while ensuring performance and governance remain top priorities.

For years, many enterprises relied on the Snowflake Spark Connector to process data, which often introduced challenges like data movement, higher costs, latency, and governance risks. Snowpark Connect for Apache Spark in Public Preview eliminates these hurdles by enabling Spark code execution natively in Snowflake, preserving data integrity, accelerating performance, and simplifying governance.

Why This Matters: A New Era of Simplicity

Traditionally, Spark environments required constant care, managing dependencies, ensuring version compatibility, and juggling costly infrastructure upgrades. With Snowpark Connect Spark integration, all of this complexity disappears.

Built on Spark Connect, a client-server architecture introduced in Apache Spark 3.4, the solution decouples user code from the Spark cluster. Snowflake extends this foundation by allowing Spark SQL, DataFrame operations, and user-defined functions (UDFs) to run directly within its elastic virtual warehouses.

The result? Seamless integration where businesses keep their Spark code, while Snowflake handles scaling, tuning, and runtime management behind the scenes. For a real-world example of Snowflake’s impact, explore Prolifics’ Snowflake success story.

Performance and Cost Benefits

Snowflake reports impressive results from early adopters. Customers using Snowpark Client see:

• 5.6x faster performance compared to managed Spark solutions
• 41% cost savings through reduced infrastructure and operational overhead

By cutting out the need for data movement and cluster maintenance, enterprises not only save money but also gain the agility needed to respond in real time to business demands.

To further enhance usability, the Snowpark Connect Public Preview ensures that modern Spark APIs, DataFrames, Spark SQL, and UDFs remain supported, so teams don’t need to rewrite code to benefit from these enhancements.

Governance and Open Data Integration

In today’s compliance-heavy environment, centralized governance is critical. Snowpark Connect for Apache Spark strengthens security by keeping all processing within Snowflake’s unified compliance framework.

The solution also integrates seamlessly with Apache Iceberg, supporting both internally and externally managed tables as well as catalog-linked databases. This further aligns with Snowflake’s strategy of advancing into the open data ecosystem, empowering organizations to leverage data more flexibly and efficiently. With Snowpark Connect Spark integration, companies can maximize both compliance and performance in their open data workflows.

What’s Next: Current Limitations

Snowpark Connect for Apache Spark in public preview currently supports Spark 3.5.x and is limited to Python environments, with Java and Scala support in development. Some Spark capabilities, including RDDs, Spark MLlib, and streaming APIs, are not yet available. However, the roadmap promises rapid evolution as Snowflake continues to expand compatibility and functionality.

Supported clients include Snowflake Notebooks, Jupyter, VSCode, Airflow, Snowflake stored procedures, and Snowpark Submit, giving developers multiple options to integrate with existing workflows.

The Prolifics Advantage: Unlock Real Business Value

While Snowpark Connect Public Preview is a technological leap forward, unlocking its full potential requires the right expertise. That’s where Prolifics comes in.

At Prolifics, we help enterprises:

• Migrate and modernize Spark workloads to run seamlessly in Snowflake
• Optimize data pipelines for performance, cost efficiency, and governance
• Leverage open data architectures like Apache Iceberg for future-proof flexibility
• Accelerate analytics and AI initiatives with real-time, compliant, cloud-native data solutions

Our experts bridge the gap between technology innovation and business outcomes, ensuring your organization doesn’t just adopt new tools but transforms how data drives growth.

Ready to Reimagine Spark in Snowflake?

Snowpark Connect for Apache Spark is more than an upgrade, it’s a reinvention of how enterprises handle Spark workloads. By eliminating clusters, simplifying governance, and cutting costs, it sets the stage for next-generation analytics and AI innovation.

Talk to Prolifics Experts today to explore how Snowpark Connect for Apache Spark in Public Preview can transform your data strategy and position your business for the future.

Media Contact:  Chithra Sivaramakrishnan | +1 (646) 362-3877 | chithra.sivaramakrishnan@prolifics.com

ORLANDO, Florida., August 28, 2025 – Databricks real-time streaming is accelerating data innovation. Recently, Databricks unveiled Real-Time Mode for Apache Spark™ Structured Streaming in Public Preview, ushering in an era of millisecond-level stream processing for mission-critical applications.

This breakthrough empowers businesses to transform their data response. From detecting fraud and personalizing content to serving real-time machine learning features, organizations can deliver results in tens of milliseconds through a single configuration change with zero code rewrites.

Why Real-Time Mode Matters

Until now, Spark Structured Streaming processed data in micro-batch blocks at scheduled intervals or availability bursts. Real-Time Mode removes this limitation. It continuously ingests and processes data as it arrives, leveraging an innovative streaming shuffle and concurrently scheduled execution stages. The result is the elimination of fixed batch delays and a significant reduction in coordination overhead.

Internal benchmarks report p99 latencies as low as single-digit milliseconds, with workloads ranging up to ~300 ms depending on complexity. In practice, this means analytics pipelines can now operate in true real time, unlocking unprecedented speed.

Real-World Applications Accelerated

Real-Time Mode enables a wide range of next-level operational use cases, including:

• Fraud Detection: A global bank processes credit card transactions from Kafka in real time, flagging suspicious activity within 200 milliseconds without replatforming.
• Live Personalization: OTT providers instantly update recommendations post-view, while e-commerce platforms recalculate offers dynamically to boost engagement.
• Live Session Sync: Travel platforms stream users’ recent search history across devices, delivering instant personalized suggestions and autofill.
• Real-Time ML Feature Serving: Food delivery apps update driver locations and prep times in milliseconds, enhancing ETA precision and customer experience.

These capabilities give organizations a decisive advantage by turning data into immediate, actionable insights.

Instant Adoption, Powerful Impact

For teams already using Structured Streaming, the transition is seamless. No rewrites are needed. By enabling Real-Time Mode in Databricks Runtime 16.4 (or above), configuring clusters in Dedicated Mode, and applying the RealTimeTrigger, businesses can leverage the power of real-time streaming while continuing to use the existing Structured Streaming API.

Ready to Experience the Future of Streaming?

This is the moment to leap ahead. Whether safeguarding financial transactions, boosting customer engagement, or fine-tuning AI responses, Real-Time Mode provides the ultra-low latency needed to compete in a real-time world.

Talk to Prolifics Today. Our experts will help you evaluate your streaming needs, design a tailored deployment strategy, and accelerate your journey with Databricks Real-Time Mode. Connect with us to transform your data into real-time decisions that matter.

About Prolifics Prolifics is a global technology solutions provider with over 47 years of expertise in empowering businesses through innovation and excellence. Specializing in digital transformation, AI, cloud, data, and automation, Prolifics partners with leading companies like IBM, Microsoft, Red Hat, EDB, AWS, and Google Cloud. From startups to global enterprises, Prolifics delivers tailored strategies that drive growth and measurable results.

Media Contact: Chithra Sivaramakrishnan | +1(646) 362-3877 | chithra.sivaramakrishnan@prolifics.com

Hyderabad, India – August 2025: Prolifics is bringing together data professionals, technology leaders, and Snowflake enthusiasts for a high-impact day of learning, networking, and innovation at the Snowflake Hyderabad Community Meet. Scheduled for Saturday, August 23, 2025, this community-driven event promises to spark meaningful conversations around modern data strategies, cutting-edge tools, and the future of Snowflake’s Data Cloud.

Themed around “Snowpark Connect Public Preview: Simplify Spark Workflows with Native Execution and Unified Governance,” the gathering will explore how enterprises can maximize their data value while modernizing platforms and adopting AI-powered solutions.

A Day Packed with Insights and Innovation

The event kicks off at 9:00 AM with registration and networking over coffee, followed by an opening welcome from Kalyan Ganjam, Head of Engineering, Prolifics. Attendees can look forward to an exciting agenda filled with expert-led sessions, live insights, and opportunities to connect with like-minded professionals.

• Accelerating Snowflake Migration – Challenges & Ideas
  Ashfaq Syed, Competency Lead – Data Engineering, Prolifics
  Explore the realities of migrating to Snowflake at scale, including lessons learned, key hurdles, and innovative strategies to accelerate adoption.
• Structuring Intelligence – How to Build Agentic Applications on Snowflake
  Rahul Sahay, Associate Director at kipi.ai and Snowflake Squad member
  Gain insights into building AI-driven, agentic applications directly on Snowflake for smarter decision-making and automation.
• Snowflake Native Ingestion – OpenFlow
  Bansilal Keloth, Lead Data Engineer at Anblicks and Snowflake Squad member
  Learn how native ingestion methods simplify data pipelines and improve efficiency.
• Community Updates and Hyderabad User Group Insights
  Satish T, Snowflake Data Superhero and Hyderabad Community Chapter Lead
  Hear the latest updates from Snowflake and discover how Hyderabad’s community is shaping the regional data ecosystem.

The day will wrap up with closing remarks, a group photo at 12:45 PM, and networking over a light lunch at 1:00 PM.

Why You Should Attend

The Snowflake Hyderabad Community Meet is more than just a technical event, it’s a platform to connect, collaborate, and co-create the future of data. Whether you’re starting your Snowflake journey or scaling enterprise-grade architectures, this event offers:

• Practical, data-driven use cases to apply immediately in your work
• Exposure to modern platform strategies and real-world success stories
• Direct networking opportunities with Snowflake experts and peers
• A look at what’s next in data, AI, and intelligent automation

From smarter engineering to seamless governance, the sessions are designed to empower participants with actionable strategies to accelerate transformation in their organizations.

Be Part of the Conversation

Prolifics is proud to host this gathering in Hyderabad, fostering a vibrant hub of data innovation and collaboration. With Snowflake continuing to redefine the data cloud landscape, this community event is a chance to be at the forefront of change.

📅 Save the Date: Saturday, August 23, 2025
🕘 Time: 9:00 AM – 3:00 PM (IST)
📍 Location: Prolifics, Hyderabad

Join the event on LinkedIn: Snowflake Hyderabad Community Meet Be part of the conversation. Let’s shape the future of data, together.