Streaming and Real-Time Workloads. Without the Cost and Complexity 🚀.

Fast, Simple and Scalable event ingestion - into object storage as Apache Iceberg or Delta Lake tables. Process and ingest tens of Millions of events per second across Observability, Security, Clickstream, Security, IoT, Database CDC, and other events.

Real Time: 10x Faster
<1 to 5 sec latency
60-80% Lower costs
Run Anywhere
Cloud, Private Cloud, Edge

Bring Data from all your Enterprise Sources to Lakehouse

Kafka Topics. CDC Events. Clickstream Events. Observability Telemetry. Security. IoT Events

Kafka
Confluent
PostgreSQL
MySQL
HTTP
gRPC

Deep integration with enterprise data sources—run anywhere across multi-region, multi-cloud, on-prem, or hybrid.

Simplify Your Ingestion Pipeline

Replace multiple complex systems with a single, powerful solution

Without e6data

Clickstream, Events, Observability

OLTP Databases

Kafka, Red Panda (Durable Storage)

CDC Debezium Connectors

Flink, Spark Streaming, etc.

Compaction Job

Iceberg Tables

Freshness in 3-5 mins to tens of mins

With e6data

Clickstream, Events, Observability, CDC

E6 Ingestion Engine

Exactly once delivery
Inbuilt durability
Built-in compaction
Freshness in <1s to 10s

Iceberg Tables

Freshness < 5s

Purpose-Built for Modern Data Teams

Everything you need for high-performance stream ingestion

Expressive pipelines

Pipelines using SQL, Rust and Python

Built with Rust

Purpose-built ingestion engine using Rust, Apache Arrow, and Apache DataFusion for maximum performance.

API-First Interaction

Create, manage, and observe pipelines using APIs that can be invoked dynamically.

Cloud Agnostic

Deploy on any cloud, on-prem, or hybrid environment with predictable pricing model.

Exactly Once Delivery

Built-in guarantees for data accuracy with exactly-once processing semantics.

Inbuilt Durability

Write-ahead log replaces Kafka where it is used only for durability, reducing infrastructure complexity.

Ready to Process Real-Time Data?

Get started with Laminar in under 5 minutes

Trusted by data teams for mission-critical streaming workloads

Frequently Asked Questions

Everything you need to know about Laminar