Ververica - Blog

The Data Platform Bar Has Risen. Introducing Ververica Platform 3.1

Jaime Lopez and Karin Landers — Thu, 09 Apr 2026 12:00:01 GMT

The Hard Part Was Never The Stream. Ververica Platform 3.1 Proves It.

Your AI Coding Assistant Can't Touch Your Streaming Platform. Until Now

Vladimir Jandreski — Thu, 02 Apr 2026 12:15:01 GMT

Introducing Ververica’s Model Context Protocol (MCP) Server (Preview): Native Large Language Models (LLM) Integration for Your Unified Streaming Data Platform.

Zero Trust Theater and Why Most Streaming Platforms Are Pretenders

Ben Gamble — Thu, 26 Feb 2026 12:27:14 GMT

“Zero Trust” used to mean something.

It described a foundational security model where nothing inside the network perimeter was implicitly trusted. Every request regardless of origin had to be authenticated, authorised, and verified. It was an operational architecture that demanded deep, pervasive control over the entire data plane.

Introducing Ververica Bring Your Own Cloud for Microsoft Azure

Serhat Yanıkoğlu and Karin Landers — Thu, 19 Feb 2026 11:29:38 GMT

Azure customers demand it. In 2026, Ververica delivers.

Ververica’s Unified Streaming Data Platform, powered by VERA, the cloud-native engine that revolutionizes Apache Flink®, is now available directly inside your Azure infrastructure with Bring Your Own Cloud (BYOC) deployment.

Data Sovereignty Is Existential Most Platforms Treat It Like a Feature

Ben Gamble — Thu, 12 Feb 2026 11:23:17 GMT

European financial institutions spent two decades migrating to the cloud. In doing so, they traded something they didn’t realise was on the table: control. Not dashboard-level visibility. Not SLA-grade assurances. Actual, provable, regulatory-grade control over where data lives, who touches it, and what happens when things break.

Dual Pipelines Are Done. Ververica Unifies Batch and Streaming.

Vladimir Jandreski — Tue, 10 Feb 2026 09:27:44 GMT

Introducing Materialized Tables, Freshness-Driven Execution, and the End of Pipeline Duplication

Why are you running two completely separate data platforms when they're supposed to represent the same truth?

A World Without Kafka

Alex Campos — Thu, 08 Jan 2026 14:34:14 GMT

Why Kafka Falls Short for Real-Time Analytics (and What Comes Next)

Apache Kafka had a remarkable run, powering event-driven architectures for more than a decade. But the landscape has evolved, revealing clear Kafka limitations for real-time analytics as modern streaming analytics and decision-making use cases become more demanding. Kafka is increasingly being pushed to retrofit capabilities into a real-time analytics architecture it was never designed to support. To solve today’s streaming data pipeline challenges and analytics requirements, new capabilities are required. It’s time for a new kid on the block.

Introducing The Era of Zero-State Streaming Joins

giannis@ververica.com (Giannis Polyzos) — Wed, 19 Nov 2025 08:47:27 GMT

Large-scale streaming joins, real-time data enrichment, and continuous analytics have historically been limited by the complexity of managing state using solutions like Apache Flink®. As streams grow in volume and velocity, operators face memory pressure, slow checkpoints, and long recovery times.

That complexity ends today with the official launch of managed service for Apache Fluss™ (Incubating) on Ververica’s Unified Streaming Data Platform. Organizations can now take advantage of enterprise-grade streaming innovations that resolve long-standing challenges in modern streaming architectures and stateful stream processing.

Ververica Platform 3.0: The Turning Point for Unified Streaming Data

Vladimir Jandreski — Wed, 15 Oct 2025 09:00:00 GMT

The world of data has been changing rapidly. In 2025, businesses need to make decisions in real time, deliver personalized customer experiences instantly, and enable applications that learn and adapt on the fly. Yet most data platforms remain fragmented, forcing teams to stitch together ingestion, processing, storage, and analytics across a patchwork of systems.

Introducing Apache Fluss™ on Ververica’s Unified Streaming Data Platform

Ben Gamble — Wed, 15 Oct 2025 08:31:25 GMT

The future of data lies in breaking down the barriers between batch and streaming. Ververica’s mission is to pioneer a new way of working with data by making insights available immediately, making architectures simpler, and giving organizations the ability to act on their data faster. Today, we are proud to announce the next major step toward that vision: Apache Fluss™ (incubating) is now part of Ververica’s Unified Streaming Data Platform.