Estuary

Stream into Google Cloud SQL for MySQL with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google Cloud SQL for MySQL 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 Google Cloud SQL for MySQL
Google Cloud SQL for MySQL logo
take a tour
Google Cloud SQL for MySQL logo

Google Cloud SQL for MySQL connector details

The Google Cloud SQL for MySQL materialization connector in Estuary delivers data from Estuary collections into MySQL tables hosted on Google Cloud SQL. It supports continuous materialization from real-time or batch pipelines, using standard merge-based updates by default with optional delta updates for applicable workloads.

  • Supports MySQL 5.7 and later
  • Standard merge-based updates by default to keep destination rows 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 configuration
  • Direct Google Cloud SQL connectivity or SSH tunneling
  • Configurable SSL modes, including certificate and hostname verification
  • Configurable timezone handling using IANA timezone names or UTC offsets
  • Automatic conversion of date-time fields to UTC when materialized
  • Automatic quoting of MySQL reserved words when used as field names

The database user must have permission to create tables, and MySQL’s local_infile global variable must be enabled. For direct connections, enable a public IP on the Cloud SQL instance and authorize Estuary’s IP addresses; alternatively, an SSH tunnel can be used for private connectivity.

For more details about the Google Cloud SQL for MySQL connector, check out the documentation page.

How to connect your data source to Google Cloud SQL for MySQL 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 Google Cloud SQL for MySQL

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

Get Started Free

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 Google Cloud SQL for MySQL, 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 Google Cloud SQL for MySQL through Estuary.
  • Transform and route data through Estuary collections before delivering it to Google Cloud SQL for MySQL.

See what you can connect to Google Cloud SQL for MySQL:

Details

or choose from these popular data sources:

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

Don't see a connector?Request and our team will get back to you in 24 hours

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

Detailed Comparison

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

Connection-1

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.