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What is OLake Go?

OLake Go is a robust open-source solution tailored for replicating operational data into data lakehouse setups. It offers seamless connectivity to numerous databases, such as PostgreSQL, MySQL, MongoDB, Oracle Database, SQL Server, and IBM Db2, as well as integration with Apache Kafka and various object storage systems. The platform supports both full-load and incremental data ingestion and incorporates change data capture for its multitude of connectors, efficiently storing the ingested data in Apache Iceberg tables and Parquet files through compatible catalogs and storage targets. Data engineers and analytics professionals can effortlessly initiate ingestion tasks using the OLake user interface or command-line tools, with the option to deploy the solution within their own infrastructure, which fosters the creation of synchronized datasets for enhanced querying and analysis. With deployment options based on Docker and configurations tailored to specific connectors, teams can adeptly manage source connections, data destinations, and the entire data movement process in a self-hosted environment, thus driving operational effectiveness. This capability not only allows organizations to utilize their data in a more strategic manner but also guarantees streamlined access to vital insights, paving the way for informed decision-making. As a result, OLake Go equips organizations with the tools they need to navigate the complexities of data management and analysis efficiently.

What is Artie?

To address latency challenges and reduce resource usage, only the updated data should be transmitted to the intended destination. Change data capture (CDC) is a powerful technique for efficiently synchronizing information. By leveraging log-based replication, real-time data duplication can be achieved without affecting the performance of the primary database. This enables the rapid establishment of a complete solution without the necessity for continuous pipeline oversight. Consequently, data teams can redirect their efforts towards more impactful projects. The implementation of Artie is simple and involves only a few straightforward steps. Artie manages the backfilling of historical records and continuously sends new updates to the specified table as they occur, ensuring high levels of data consistency and reliability. In the event of an outage, Artie utilizes Kafka offsets to resume from the last recorded point, maintaining data integrity without requiring a full re-synchronization. This effective methodology not only simplifies data management but also significantly boosts overall operational efficiency. Moreover, by automating routine tasks, teams can allocate their time and resources toward innovation and strategic growth initiatives.

Media

Media

Integrations Supported

Amazon S3
Apache Kafka
Google Cloud BigQuery
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
AWS Glue
Apache Iceberg
IBM Db2
MinIO
Unity Catalog

Integrations Supported

Amazon S3
Apache Kafka
Google Cloud BigQuery
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
Amazon DocumentDB
Amazon DynamoDB
Amazon Redshift
Azure Databricks
Grok Bot
Kubernetes
Snowflake

API Availability

Has API

API Availability

Pricing Information

$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 Version

Pricing Information

$231 per month
Free Version

Supported Platforms

On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Datazip

Date Founded

2022

Company Location

United States

Company Website

olake.io

Company Facts

Organization Name

Artie

Company Location

United States

Company Website

www.artie.so/

Categories and Features

Data Replication

Not specified

Categories and Features

Data Replication

Not specified

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