---
title: "Fluss Private Preview"
description: "Join the private preview of Ververica Platform with Apache Fluss integration. Experience unified streaming: ingest, process, store, and query in one place."
lastUpdated: 2026-10-19T08:43:28.000Z
source_url:
  html: "https://www.ververica.com/product/fluss/private-preview"
  md: "https://www.ververica.com/product/fluss/private-preview.md"
---

# Complete Your Streamhouse with Apache Fluss™

Experience the industry's first unified streaming data platform with columnar, queryable storage. Transform ingestion, processing, and querying into one cohesive system.

## Infrastructure Challenge

Traditional streaming platforms process data quickly but lack queryable storage. Adding databases and caches solves one problem while creating others: more infrastructure to manage, more data to move, and more delays between event and insight.

## Common Challenges

Separate tools for ingestion, processing, caching, and querying multiply operational costs and complexity.

Shuttling data between systems introduces latency, reduces freshness, and increases costs.

External databases and batch processes prevent you from querying data as it arrives.

## How It Works

Data flows into Ververica Platform and moves through three integrated stages. Apache Flink processes streaming data with exactly-once guarantees and sub-second latency. Apache Fluss stores results in columnar format while maintaining a unified log and cached table representation. You query data immediately using standard SQL, with sub-second response times on continuous updates.

The architecture removes the need for external databases, caches, and data movement pipelines. Processing and storage happen in one platform, keeping data fresh and queryable without adding infrastructure.

## Why Teams Choose Ververica Platform

### Unified Streaming Infrastructure

Consolidate ingestion, processing, and storage into one platform. Ververica eliminates separate databases and caches, reducing operational overhead by 40%. Your team builds streaming applications instead of managing tool chains.

### Immediate Queryability

Query streaming data with sub-second latency. Apache Fluss reflects every incoming change instantly, enabling dashboards and analytics that update as events happen. No batch delays, no stale caches, no waiting.

### Simplified Architecture

Replace five separate systems with one unified platform. Ververica handles everything from data ingestion through Apache Flink processing to queryable storage with Apache Fluss. Fewer tools mean lower costs, simpler operations, and faster development.

## Platform Capabilities

### Apache Fluss Integration: Columnar, Queryable Storage

- Treats streams as tables with unified log and cached representation
- Columnar storage optimized for analytical workloads with efficient access patterns
- Native support for modern formats including Lance and LanceDB
- Seamless tiering between hot data and lakehouse storage

### Apache Flink Processing

- Exactly-once processing guarantees with automatic checkpointing
- Sub-second event latency at enterprise scale
- Unified batch and streaming APIs with SQL support
- Kubernetes-native deployment with automated operations

### Zero-State Streaming Analytics

- Query real-time and historical data without external state stores
- Eliminate database dependencies for streaming applications
- Unified view across continuous and batch data sources
- Real-time feature store capabilities for AI and ML workloads

### Enterprise Operations

- Automated scaling and resource management
- Built-in security with RBAC and compliance controls
- 24/7 support from the team that created Apache Flink
- Deploy on AWS, Azure, GCP, or self-managed infrastructure