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features
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support

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Description

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

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 

Screenshots View All

Screenshots View All

Integrations

APERIO DataWise Yes 
Amazon Data Firehose Yes 
Amazon S3 No 
Apache DataFusion Yes 
Apache Kafka No 
Astera Dataprep Yes 
CSViewer Yes 
GribStream Yes 
Hadoop Yes 
IBM Db2 No 
MLJAR Studio Yes 
OpenObserve Yes 
PostgreSQL No 
Semarchy xDI Yes 
StarfishETL Yes 
Timeplus Yes 
Unity Catalog No 
Visplore Yes 
Warp 10 Yes 
e6data Yes 

Integrations

APERIO DataWise No 
Amazon Data Firehose No 
Amazon S3 Yes 
Apache DataFusion No 
Apache Kafka Yes 
Astera Dataprep No 
CSViewer No 
GribStream No 
Hadoop No 
IBM Db2 Yes 
MLJAR Studio No 
OpenObserve No 
PostgreSQL Yes 
Semarchy xDI No 
StarfishETL No 
Timeplus No 
Unity Catalog Yes 
Visplore No 
Warp 10 No 
e6data No 

Pricing Details

No price information available.
Free Trial No 
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 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

Datazip

Founded

2022

Country

United States

Website

olake.io

Product Features

Product Features

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

Alternatives

Alternatives

Apache Iceberg Reviews

Apache Iceberg

Apache Software Foundation
OLake Fusion Reviews

OLake Fusion

Datazip
Apache HBase Reviews

Apache HBase

The Apache Software Foundation
Apache Doris Reviews

Apache Doris

The Apache Software Foundation