Compare Artie vs. OLake Go in 2026

OLake Go

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Description

Transmit only the modified data to the target location to eliminate latency issues and minimize resource consumption. Change data capture (CDC) serves as an effective strategy for synchronizing information efficiently. Utilizing log-based replication offers a seamless method for real-time data duplication without hindering the performance of the primary database. You can establish the complete solution swiftly, requiring no ongoing pipeline management. This allows your data teams to focus on more valuable initiatives. Implementing Artie is a straightforward process that involves just a few easy steps. Artie takes care of backfilling historical records and will consistently relay new modifications to the designated table as they happen. The system guarantees data consistency and exceptional reliability. Should an outage occur, Artie uses offsets in Kafka to resume operations from the last point, ensuring high data integrity while eliminating the need for complete re-synchronization. This robust approach not only streamlines data management but also enhances overall operational efficiency.

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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Screenshots View All

Integrations

Amazon S3 Yes

Apache Kafka Yes

Google Cloud BigQuery Yes

MongoDB Yes

MySQL Yes

Oracle Database Yes

PostgreSQL Yes

SQL Server Yes

AWS Glue No

Amazon DynamoDB Yes

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Explore All 17 Integrations

Integrations

Amazon S3 Yes

Apache Kafka Yes

Google Cloud BigQuery Yes

MongoDB Yes

MySQL Yes

Oracle Database Yes

PostgreSQL Yes

SQL Server Yes

AWS Glue Yes

Amazon DynamoDB No

Show More Integrations

Explore All 15 Integrations

Pricing Details

$231 per month

Free Trial No

Free Version Yes

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