Estuary

Stream into Google Spanner with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google Spanner 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 Spanner
Google Spanner logo
take a tour
Google Spanner logo

Google Spanner connector details

The Google Spanner materialization connector in Estuary delivers data from Estuary collections into tables in a Google Spanner database. It supports continuous materialization from real-time or batch pipelines and provides controls for table configuration, delete handling, and efficient key distribution.

  • Materializes Estuary collections directly into Google Spanner tables
  • Standard updates to keep destination records synchronized with Estuary collections
  • Optional hard deletes so records deleted upstream can also be removed from Google Spanner
  • Soft deletes by default, represented through _meta/op
  • Configurable destination table names for individual bindings
  • Alternative schema support for bindings that should use a non-default schema
  • Custom SQL during table creation for additional table-level configuration
  • Google Cloud service account authentication
  • Built-in key distribution optimization that adds a hash prefix to table keys to distribute writes across Spanner splits and reduce hotspots
  • Option to exclude the root Flow document from standard updates for advanced use cases

The connector’s key-distribution optimization is enabled by default to spread writes across Google Spanner splits and avoid concentrated write hotspots. It can be disabled through advanced configuration when the original key ordering is preferred.

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

How to connect your data source to Google Spanner 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 Spanner

    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 Spanner, 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 Spanner through Estuary.
  • Transform and route data through Estuary collections before delivering it to Google Spanner.

See what you can connect to Google Spanner:

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.