Introducing Native Data Integration Services

A robust data integration service is essential for efficient data movement both into and out of the platform.

Ingress capabilities enable real-time updates and seamless integration of diverse data sources, while egress capabilities support the extraction, transformation and loading (ETL) of data for downstream consumers. This data integration streamlines connectivity, ensuring data interoperability, scalability and adherence to governance standards — empowering organizations to extract value from their data assets in the dynamic landscape of modern data ecosystems.

challenges-with-data-integrationChallenges with data integration

Data integration is challenging for customers in multiple ways:

  • Diverse data formats and sources. Integrating data with varying formats and structures from different sources requires compatibility and consistency.
  • Real-time data processing. Meeting the demand for real-time — or near-real-time — processing necessitates efficient handling of data streams while ensuring low-latency and accuracy.
  • Scalability. Coping with exponentially growing data volumes requires horizontal scalability in distributed and cloud environments.
  • Data quality and governance. Maintaining data quality, consistency and adherence to governance standards across diverse sources is critical for reliable analytics.
  • Security and compliance. Addressing security concerns, data encryption, access control and compliance with regulations are essential aspects of data integration.
  • Complexity of hybrid environments. Integrating data seamlessly in hybrid environments with on-premises and cloud-based systems poses challenges.
  • Interoperability. Ensuring interoperability between various data platforms, databases and applications is crucial for effective data integration.
  • Data transformation and mapping. Efficiently transforming and mapping data to match target schemas is crucial for successful integration.
  • Costs. Typical costs for data integration tools can range between $200,000 to $500,000 for software licensing and $50,000 to $100,000 for annual maintenance.

To address these issues, we are announcing a native suite of data integration services designed to ETL/CDC data between SingleStore and various sources/targets. Change Data Capture (CDC) capabilities are designed to listen for new data as it lands, and then ingest/egress them into and out of SingleStore.

These native data integration capabilities will include:

  • Change Data Capture (CDC) in. Available now, in the coming days you will be able to CDC data in from both MongoDB® and MySQL databases
  • Change Data Capture (CDC) out. We are also announcing the ability to CDC data out from SingleStore for use by downstream consumers and other databases like OLAP systems
  • We will also support the ability to read and write natively Apache Iceberg
  • In the future, we will support CDC in from PostgreSQL


  • Continuous, automated and cost-effective integration solutions that loads your data with blazing fast speeds
  • Seamless experience for data integration with SingleStore
  • Cost savings by preventing need to purchase or learn new ETL tools

The full breakdown of the various sources and destination is here:

*** Items labeled "coming soon" are part of the SingleStore 2024 roadmap.

the-zero-etl-futureThe Zero ETL future

SingleStore provides a powerful, native data integration service, addressing the complexities inherent in contemporary data integration and data management. Offering seamless connectivity, real-time data processing and efficient scalability, these native capabilities eliminate much of the costs, complexity and burden of data pipelines, and make zero ETL a reality.

To learn more, check out SingleStore Native Data integration services.

If you have any feedback, reach out to us at or through public Forums. Activate your free SingleStore Cloud trial today to get started.

To learn more, check out our documentation.