Platform

Data
Integration

Native support for seamless ETL/CDC between various sources and targets

Lightning-fast ingestion

Rapid data ingestion (with optional transforms) from multiple data sources including Kafka, Amazon S3, HDFS and Iceberg tables, powered by SingleStore Pipelines.

Continuously load millions of events per second, in parallel, natively in our platform.

No external tools needed

SingleStore Pipelines are robust, scalable, highly performant and support fully distributed workloads

Support for JSON, Avro, Parquet and CSV data formats

Michael Zimberg

CTO, Digital Asset Research

Some batches are running at around seven milliseconds. They're so unbelievably fast. SingleStore enables us to be thousands of times faster. Our platform can do everything we need it to in less than a second.

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Zero ETL

Drastically simplify the job of developers by monitoring a source folder or Kafka queue, automatically loading events as they arrive.

Frictionless snapshot data load and Change Data Capture (CDC) from MySQL and MongoDB® with SingleStore Pipelines.

Other database sources are supported with third-party tooling.

Reduce costs

Reduce or eliminate ETL tooling and data processing costs with our native solution.

SingleStore also brings overall better price-performance to your tech stack, delivering up to 50% overall lower TCO.

Native data integration for Apache Iceberg

Natively integrate with your Apache Iceberg stack

Ingest data from and write back to Iceberg tables — in real time, with no additional tooling required. SingleStore’s native integration provides super low-latency analytics on your lakehouse data.

Unlock real-time insights on your data lake and commercial lakehouse data that was previously inaccessible.

Automatically manage schema evolution/changes and updates, ensuring changes in Iceberg tables are reflected in your SingleStore database without manual intervention.