---
title: "Ecosystem Introduction"
description: "Your Guide to the Ververica's Unified Streaming Data Platform Ecosystem "
lastUpdated: 2026-10-14T09:40:33.000Z
source_url:
  html: "https://www.ververica.com/ecosystem-introduction"
  md: "https://www.ververica.com/ecosystem-introduction.md"
---

# Ecosystem Introduction

**Your Guide to the Ververica's Ecosystem**

## What is the Apache Flink ecosystem?

The Apache Flink ecosystem is the set of open-source projects used with Flink to build real-time data platforms: Apache Flink for stream and batch processing, Flink CDC for capturing database changes, Apache Fluss for streaming storage and Apache Paimon for lake tables. Ververica builds its platform on these projects and runs Flink jobs on its VERA engine.

### What is Apache Flink®?

Discover Apache Flink, a powerful framework for real-time stream processing and analytics, enabling event-driven applications and dynamic decision-making.

### Beginner's Guide to Real-Time Data Processing

Unlock real-time, fault-tolerant data pipelines using stream processing with Apache Flink. Discover key concepts, tools, and more with Ververica

### What is Apache Paimon™?

Explore Apache Paimon, the open-source, stream-native data lakehouse format. Learn how it powers real-time updates, unified analytics with Ververica.

### What is Apache Fluss™?

Learn more about Apache Fluss, the open-source, unified streaming storage layer designed to optimize real-time data processing.

### What is VERA?

Discover VERA, Ververica's high-performance engine that optimizes Apache Flink for seamless real-time and batch data processing

### What is Streamhouse?

Streamhouse unifies batch and stream processing on data lakes, enabling real-time insights and cost-effective analytics for businesses.

### Stream Processing vs. Batch Processing

Apache Flink blends batch and stream. Ververica delivers the enterprise tools to run unified data workloads reliably, efficiently, and at scale.