---
title: "Ververica Platform"
description: "Ververica Platform runs enterprise Apache Flink on your own infrastructure or cloud account, with auto-scaling, auto-recovery and zero-downtime upgrades."
lastUpdated: 2026-10-14T07:58:16.000Z
source_url:
  html: "https://www.ververica.com/product/ververica-platform"
  md: "https://www.ververica.com/product/ververica-platform.md"
---

# Enterprise Flink. For Those Who Cannot Get It Wrong.

**Ververica Platform**

Auto-scaling. Auto-recovery. SOC 2 certified. Zero-downtime upgrades. Multi tenant governance. Plus 2x throughput and 40% lower TCO. 100% Flink API compatible. Drop-in replacement.

- We built Flink
- We know where it breaks.
- We fixed it

- **2x — Throughput**
- **40% — Lower TCO**
- **100% — Flink API compatible**

- We built Flink.
- We know where it breaks in production
- We fixed it

## What Is Ververica Platform?

The enterprise streaming and batch platform built by the original creators of Apache Flink. Unified stream and batch processing in one runtime. Materialized tables that maintain themselves. Auto-scaling, auto-recovery, SOC 2 & ISO 27001 certified, zero-downtime upgrades, multi-tenant RBAC everything production Flink needs, built in. Not bolted on.

## Key Statistics

- **Faster Processing**: Throughput vs open-source Flink
- **Lower TCO**: Same workload, less infrastructure
- **Flink Compatible**: Zero migration effort required
- **Recovery**: Automatic checkpoint restore

## The Problem

Open-Source Flink Is Powerful. Production Is the Hard Part. Manual cluster sizing. No auto-scaling. 2-5 minute recovery times on failure. Upgrades require downtime. No RBAC. No compliance certifications.

Auto-Scaling | Auto-Recovery | SOC 2 & ISO 27001 | Zero-Downtime Upgrades | Multi-Tenancy | Deployment Flexibility

## Technology Innovations

Why Ververica

Traditional: Spark batch + Flink stream, 2x cost

Ververica: One SQL both modes, freshness-driven execution, 40-60% Less Cost

OSS: 2-5 min recovery, full checkpoint

Ververica: <30s auto-recovery, 60% smaller checkpoints

Typical: Rewrite code, months to validate.

Ververica: Same SQL & DataStream, deploy done. 0 Code Changes.

OSS: Row-by-row, full CPU burn

Ververica: Columnar SIMD batches, 40% less CPU, 2x Throughput

## Benchmarks Table

| Feature | Ververica | Open-Source | Improvement |
| --- | --- | --- | --- |
| Throughput | 6.9B records/sec | 3.4B records/sec | 2x |
| Latency (p99) | 8ms | 45ms | 5.6x |
| Resource Usage | 60% | 100% | 40% less |
| Recovery Time | < 30 seconds | 2-5 minutes | 10x |
| Checkpoint Duration | 1.2 seconds | 3.1 seconds | 2.6x |

## Unified Processing

One Platform. Streaming and Batch. Unified.

- Unified Semantics
- Freshness-Driven Execution
- Built-In Scheduling
- Resource Isolation
- 10x Faster Deployment
- 40-60% Cost Reduction
- 97% Faster Snapshots

## Materialized Tables

Define Once. Always Fresh. Query Instantly

- Interactive MaterializedTableDemo component
- SQL-Native
- Always Fresh
- Instant Lookups (<10ms)

## Compatibility (Zero Migration)

Your Flink Code. Unchanged.

- Flink SQL syntax
- DataStream API
- Table API
- All connectors
- State backends
- Checkpointing
- Savepoints
- Python UDFs
- Custom serializers
- Metrics reporters