Connectors

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SingleStore

SingleStore

Databases

Sync SingleStore data anywhere.

SingleStore is a powerful database platform designed to empower data engineers. It seamlessly combines the capabilities of a relational database with those of a distributed, scalable, and high-performance data store. Data engineers can leverage SingleStore to efficiently manage, process, and analyze vast amounts of data in real-time. Its architecture supports both transactional and analytical workloads, making it versatile for various data engineering tasks. SingleStore's in-memory processing, automatic sharding, and distributed query capabilities enhance data engineers' ability to build robust and responsive data pipelines, enabling them to meet the demands of modern data-driven applications and analytics at scale.

  • Standard
  • Alpha
Sync SingleStore dataRead the docs
  • 50+Destinations
One connector

Everything SingleStore can do in Airbyte

  • Sync to your warehouse

    Land SingleStore data in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate SingleStore once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the SingleStore connector on Self-Managed Enterprise.

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Change Data CaptureNot supported
  • Available onSelf-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version0.1.4

Set up in 11 steps

  1. You can just use the MySQL source connector to connect your SingleStore database:
  2. Open the Airbyte UI and navigate to the "Sources" tab.
  3. Click on the "Add Source" button and select "MySQL" from the list of available sources.
  4. Enter a name for your MySQL source and click on the "Next" button.
  5. Enter the necessary credentials for your MySQL database, including the host, port, username, and password.
  6. Select the database you want to connect to from the drop-down menu.
  7. Choose the tables you want to replicate data from by selecting them from the list.
  8. Click on the "Test" button to ensure that the connection is successful.
  9. If the test is successful, click on the "Create" button to save your MySQL source configuration.
  10. You can now use your MySQL connector to replicate data from your MySQL database to your destination of choice.
  11. ‍
Authentication

Authenticate SingleStore once

  • Password

    Password associated with the username.

FAQ

Common questions

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What data can you extract from SingleStore?

SingleStore is a versatile database platform that can extract a wide range of data types and information, including:

  1. Structured Data: SingleStore is well-suited for structured data, such as relational tables, which can store information like user profiles, product details, and transaction records.
  2. Time-Series Data: It excels at handling time-series data, making it valuable for applications that require tracking and analyzing data changes over time, like IoT sensor data, financial market data, or log files.
  3. JSON Data: SingleStore supports JSON data types, enabling you to store and query semi-structured data like user preferences, configuration settings, or nested data structures.
  4. Geospatial Data: Geospatial data, including geographic coordinates, polygons, and spatial queries, can be managed and queried efficiently in SingleStore, making it suitable for location-based applications.
  5. Analytical Data: SingleStore's distributed architecture allows it to handle large volumes of data for analytical purposes, supporting complex queries and aggregations for business intelligence and data analytics.
  6. Streaming Data: It can capture and process streaming data, making it a valuable tool for real-time analytics and event-driven applications.
  7. Key-Value Pairs: SingleStore can also function as a key-value store, providing fast retrieval of data using keys, which is useful for caching or storing application settings.
  8. Graph Data: While not a native graph database, SingleStore can be used to store and query graph-like data structures by modeling relationships between data points in tables.
  9. Machine Learning Model Outputs: You can store the results and predictions from machine learning models in SingleStore, facilitating integration with data-driven applications.
  10. Aggregated Data: SingleStore can store pre-aggregated data, which is beneficial for accelerating query performance in analytical workloads.

SingleStore's flexibility and high performance make it a valuable tool for extracting, storing, and analyzing various types of data across a wide range of use cases. It's particularly well-suited for real-time and analytical workloads, enabling data engineers and analysts to derive valuable insights from their data.

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How do I transfer data from SingleStore?

You can just use the MySQL source connector to connect your SingleStore database:

1. Open the Airbyte UI and navigate to the "Sources" tab.

2. Click on the "Add Source" button and select "MySQL" from the list of available sources.

3. Enter a name for your MySQL source and click on the "Next" button.

4. Enter the necessary credentials for your MySQL database, including the host, port, username, and password.

5. Select the database you want to connect to from the drop-down menu.

6. Choose the tables you want to replicate data from by selecting them from the list.

7. Click on the "Test" button to ensure that the connection is successful.

8. If the test is successful, click on the "Create" button to save your MySQL source configuration.

9. You can now use your MySQL connector to replicate data from your MySQL database to your destination of choice.

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What are top ETL tools to transfer data from SingleStore?

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

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Start moving SingleStore data today

Free for 14 days on Airbyte Cloud. Set up the SingleStore connector once and let Airbyte keep it in sync.

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