Estuary

Stream into SingleStore with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into SingleStore using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

  • <100ms to batch
  • 200+ connectors
  • Managed data pipelines
01. Select a source02. Transform in-flight03. Deliver to SingleStore
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SingleStore connector details

The SingleStore materialization connector in Estuary delivers data from Estuary collections directly into tables in a SingleStore database. It supports continuous materialization from real-time or batch pipelines, using standard merge-based updates by default with optional delta updates for applicable workloads.

  • Materializes Estuary collections directly into SingleStore tables
  • Standard merge-based updates by default to keep destination records synchronized
  • Optional delta updates for workloads where changes should be applied incrementally
  • Automatic table creation for configured materialization bindings
  • Custom SQL after table creation for additional table-level configuration
  • Configurable destination table names for individual bindings
  • SSL/TLS connection support, including certificate and hostname verification
  • Configurable timezone handling for datetime columns
  • Username and password authentication
  • Support for SingleStoreDB Cloud, including SSL-secured connections
  • Option to exclude the root Flow document from standard updates for advanced use cases

Each materialization binding maps an Estuary collection to a SingleStore table. The connector creates the destination table when needed, and you can optionally run additional SQL after table creation for further configuration.

For SingleStoreDB Cloud, SSL is required. Estuary supports several SSL modes, including verify_ca and verify_identity, with support for supplying the SingleStore server CA certificate.

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See how Recart uses SingleStore

For more details about the SingleStore connector, check out the documentation page.

How to connect your data source to SingleStore in 3 easy steps

  1. 1

    Connect your data source

    Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

  2. 2

    Prepare and transform your data

    Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

  3. 3

    Sync to SingleStore

    Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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Trusted by data teams worldwide

All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into SingleStore, with capture and delivery cadence based on connector capabilities and pipeline configuration.

  • Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to SingleStore through Estuary.
  • Transform and route data through Estuary collections before delivering it to SingleStore.

See what you can connect to SingleStore:

Details

or choose from these popular data sources:

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PostgreSQL
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MySQL
SQL Server via CDC logo
SQL Server via CDC
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MongoDB
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Apache Kafka
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BigQuery
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Snowflake Data Cloud

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Latency<100ms to scheduled5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh

One platform for real-time and batch data pipelines

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Deliver real-time and batch data from DBs, SaaS, APIs, and more

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.