StreamNative Introduces Lakestream Architecture and Launches Native Kafka Service

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End-to-End Data Streaming with Apache Flink Managed Service

Drive your strategy with best-in-class engines for Kafka, Pulsar, and Flink — all unified in one platform.

Managed Apache Flink visual

Flink + Kafka/Pulsar in the Same VPC

Processing and data together, powered by Ursa and VERA.

Reduce Networking Costs

Keep data in your VPC and auto-scale to cut networking costs.

Simplified Yet Powerful Stack

Flink SQL, enterprise APIs, and seamless scaling in one stack.

OVERVIEW

Unified Streaming and Processing

StreamNative unifies Apache Flink with native Kafka and Apache Pulsar in a single managed platform, delivering lower latency and reduced costs through simplified operations.

StreamNative unified streaming and processing architecture

Sovereignty Processing

Run native Kafka and Apache Pulsar with Apache Flink in the same VPC for minimal latency and maximum data sovereignty.

Ursa Engine Integration

Lakehouse-native streaming engine that eliminates broker complexity and streams directly into Iceberg/Delta.

Ververica VERA Engine

100% Apache Flink compatible, enterprise-grade stream processing with advanced state management.

Expert-Managed Platform

Full data sovereignty with 24/7 expert support from the creators of Pulsar and Flink.

ADVANTAGES

Unify Your Stream, Simplify Your Stack

Easily Deploy Processing and Data Together in the Same VPC

Easily Deploy Processing and Data Together in the Same VPC

The StreamNative Ursa engine strengthens Kafka and Pulsar with added efficiency, flexibility, scalability, and resiliency.
The Ververica VERA engine boosts Flink to the next level of performance and scalability while retaining 100% compatibility.
Let our data streaming experts manage the platform while you maintain data sovereignty and full control of your data.

In Short: Get seamless ingestion and processing capabilities using native Kafka and Pulsar along with Flink.

Reduce Your Networking Costs and Deployment Complexity

Reduce Your Networking Costs and Deployment Complexity

Avoid inter-cloud or inter-account traffic and associated costs by keeping processing and data within your VPC.
Eliminate operational overhead by avoiding the complex networking required for separate managed services.
Get easy, independent, elastic auto-scaling so you can use and pay for only the resources you need.

Translation: Let us help you reduce your Total Cost of Ownership (TCO).

Gain a Simplified Yet Powerful Stack

Gain a Simplified Yet Powerful Stack

Build a wide variety of high-performance, large-scale applications on all your data streaming workloads.
Enable Flink SQL queries, job management, and platform control via APIs and CLI tools.
Easily and quickly auto-scale to meet the demands of your changing workloads without the operational disruptions of other solutions due to data rebalancing work.

In Short: Get seamless ingestion and processing capabilities using native Kafka and Pulsar along with Flink.

PERFORMANCE

Proven at Scale

2xFaster stateful queries
2M+CPU cores managed
6.9BRecords/sec processed
10+Petabytes ingested daily

USE CASES

What You Can Build with Managed Flink

01

Real-Time Fraud Detection & Anti-Spam

Deploy ML models for real-time monitoring, anomaly detection, and financial security. Process millions of events per second to catch fraud before it happens.

02

IoT, Connected Vehicles & Predictive Maintenance

Ingest sensor data at scale, run real-time analytics, trigger alerts, and power predictive maintenance workflows.

03

Real-Time Analytics & Monitoring

Build live dashboards, alerting systems, and operational analytics pipelines that react to data as it arrives.

04

Dynamic Business Operations

Power MarTech personalization, real-time inventory management, and customer engagement with event-driven processing.

Enterprise Support You Can Count on

24/7 Technical Support Available

Managed by Creators of Pulsar & Flink

Get started with managed Apache Flink

  • Sign up for early access to managed Apache Flink.
  • Deploy Flink alongside native Kafka and Pulsar in the same VPC.
  • Auto-scale with Flink SQL and enterprise APIs.
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