Compare Google Cloud Datastream vs. OLake Go in 2026

OLake Go

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Description

A user-friendly, serverless service for change data capture and replication that provides access to streaming data from a variety of databases including MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle. This solution enables near real-time analytics in BigQuery, allowing for quick insights and decision-making. With a straightforward setup that includes built-in secure connectivity, organizations can achieve faster time-to-value. The platform is designed to scale automatically, eliminating the need for resource provisioning or management. Utilizing a log-based mechanism, it minimizes the load and potential disruptions on source databases, ensuring smooth operation. This service allows for reliable data synchronization across diverse databases, storage systems, and applications, while keeping latency low and reducing any negative impact on source performance. Organizations can quickly activate the service, enjoying the benefits of a scalable solution with no infrastructure overhead. Additionally, it facilitates seamless data integration across the organization, leveraging the power of Google Cloud services such as BigQuery, Spanner, Dataflow, and Data Fusion, thus enhancing overall operational efficiency and data accessibility. This comprehensive approach not only streamlines data processes but also empowers teams to make informed decisions based on timely data insights.

Description

OLake Go is a versatile open-source platform designed for the replication of operational data into data lakehouse environments. It provides connectivity to a wide array of databases, including PostgreSQL, MySQL, MongoDB, Oracle Database, SQL Server, and IBM Db2, along with integration capabilities for Apache Kafka and object storage solutions. The platform enables both full-load and incremental data ingestion, featuring change data capture for various supported connectors, and efficiently writes the ingested data to Apache Iceberg tables and Parquet files through compatible catalogs and storage targets. Data engineers and analytics teams can initiate ingestion tasks seamlessly via the OLake user interface or through command-line operations, and they have the flexibility to deploy the software within their own infrastructure to create synchronized datasets for further querying and analytics. With Docker-based deployment options and connector-specific configurations, teams can effectively manage their source connections, data destinations, and the overall data movement process in a self-hosted setting, thereby enhancing their operational efficiency. This empowers organizations to leverage their data more strategically while ensuring streamlined access to critical insights.

API Access

Has API No

API Access

Has API Yes

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Integrations

Google Cloud BigQuery Yes

Google Cloud Storage Yes

MySQL Yes

Oracle Database Yes

PostgreSQL Yes

SQL Server Yes

AWS Glue No

AlloyDB Yes

Amazon S3 No

Apache Kafka No

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Explore All 13 Integrations

Integrations

Google Cloud BigQuery Yes

Google Cloud Storage Yes

MySQL Yes

Oracle Database Yes

PostgreSQL Yes

SQL Server Yes

AWS Glue Yes

AlloyDB No

Amazon S3 Yes

Apache Kafka Yes

Show More Integrations

Explore All 15 Integrations

Pricing Details

No price information available.

Free Trial Yes

Free Version No

Pricing Details

$0

OLake Go is open-source software distributed under the Apache 2.0 license, with no software license fee. Self-hosting requires separately provisioned compute, storage, and other infrastructure.

Free Trial No

Free Version Yes