One home for all your streaming data

Operational tables for search, SQL, notebooks, AI and more

Continuously stream data from databases, SaaS applications, files, and event sources into your warehouse or lakehouse, delivering low-latency, reliable pipelines without the operational overhead.

Your operational tables

PostgreSQL

MySQL

MongoDB

SQL Server

Oracle

MariaDB

Cassandra

Db2

Vitess

Spanner

Informix

Everything, in one place

Search everything

Query with SQL

Explore in notebooks

Build apps & AI

Your analytics tables

Snowflake

Databricks

Spark

Trino

ClickHouse

DuckDB

Starburst

StarRocks

Dremio

Presto

Flink

Hive

Apache Doris

BigQuery

Athena

Live now

orders · order.created · £142.00 · London•payments · payment.authorized · Gateway A•sessions · cart.updated · c_88412•shipments · label.printed · UK•orders · order.created · £58.20 · Berlin•inventory · stock.decremented · sku_9931•payments · payment.captured · £312.00•accounts · login.succeeded · c_74108•orders · refund.issued · £24.00 · Lima•telemetry · latency.p50 · 4 ms•orders · order.created · £142.00 · London•payments · payment.authorized · Gateway A•sessions · cart.updated · c_88412•shipments · label.printed · UK•orders · order.created · £58.20 · Berlin•inventory · stock.decremented · sku_9931•payments · payment.captured · £312.00•accounts · login.succeeded · c_74108•orders · refund.issued · £24.00 · Lima•telemetry · latency.p50 · 4 ms•

Works with what you already run.

No proprietary formats, no lock-in, no "supported integrations" page. Streambased connects the databases that run your business to the engines that answer your questions, through open standards your stack already uses. Compatibility is the product.

PostgreSQLMySQLMongoDBSQL ServerOracleMariaDBCassandraDb2VitessSpannerInformixSnowflakeDatabricksSparkTrinoClickHouseDuckDBStarburstStarRocksDremioPrestoFlinkHiveApache DorisBigQueryAthena+ more on the way

Connect once. Query forever.

No new storage system to learn. No architecture diagrams to study. Three steps, and every event you own is at your fingertips.

Connect

Point Streambased at the systems your data already lives in. No migration, no copies, no pipelines. Everything stays exactly where it is.

Discover

Every topic, schema, and table is detected automatically and appears in one searchable catalog. Nothing to configure, nothing to sync.

Use

Search, query, notebook, replay, build. Streaming and historical data behave like one dataset, because now they are.

One dataset. Consumed as a stream or a table.

Applications shouldn't have to choose between real-time and analytical access. The same underlying dataset can be consumed as an event stream for reactive systems or queried as a table for analytics, reporting, and ad-hoc exploration. Different interfaces, one source of truth.

Don't copy your data into yet another system.
Don't transform it unless you need to.
Don't build pipelines just to make it usable.

Kafka clientsConnected

Iceberg enginesConnected

Data Files (Parquet)Connected

See what disappears

The usual path from an operational database to your analytics stack is a chain of systems. Streambased collapses it to a single hop.

Postgresoperational DB

CDCDebeziumsync lag

Kafkatopic

Transformdbt / Sparknightly

WarehouseSnowflake+1 copy

Streambasedquery in place

BI · SQL · AIconsumers

~ hours of lag6 systems4 copiesbreaks silently

Every hop is another system to run, another copy to keep in sync, another place it can break.

Give your streaming data a home

From operational databases to your analytics stack, Streambased makes everything queryable from one place with no pipelines in between.