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What is lakeFS?

lakeFS enables you to manage your data lake in a manner akin to source code management, promoting parallel experimentation pipelines alongside continuous integration and deployment for your data workflows. This innovative platform enhances the efficiency of engineers, data scientists, and analysts who are at the forefront of data-driven innovation. As an open-source tool, lakeFS significantly boosts the robustness and organization of data lakes built on object storage systems. With lakeFS, users can carry out dependable, atomic, and version-controlled actions on their data lakes, ranging from complex ETL workflows to sophisticated data science and analytics initiatives. It supports leading cloud storage providers such as AWS S3, Azure Blob Storage, and Google Cloud Storage (GCS), ensuring versatile compatibility. Moreover, lakeFS integrates smoothly with numerous contemporary data frameworks like Spark, Hive, AWS Athena, and Presto, facilitated by its API that aligns with S3. The platform's Git-like framework for branching and committing allows it to scale efficiently, accommodating vast amounts of data while utilizing the storage potential of S3, GCS, or Azure Blob. Additionally, lakeFS enhances team collaboration by enabling multiple users to simultaneously access and manipulate the same dataset without risk of conflict, thereby positioning itself as an essential resource for organizations that prioritize data-driven decision-making. This collaborative feature not only increases productivity but also fosters a culture of innovation within teams.

What is Apache DevLake?

Apache DevLake, currently in its incubation phase, integrates, assesses, and visualizes a variety of data from numerous DevOps tools to derive insights that foster engineering excellence. In the software development landscape, data is frequently dispersed across different platforms and silos. DevLake effectively bridges these divides, providing a comprehensive view of your Software Development Life Cycle (SDLC). The platform effortlessly implements metrics ranging from DORA to scrum retrospectives, featuring preconfigured dashboards that align with popular frameworks and objectives. It is designed to support teams of varying sizes and structures, while also allowing for the incorporation of additional data sources, metrics, and dashboards through its flexible data collection and transformation framework. Users can easily choose, adjust, and schedule data synchronization from preferred sources using the intuitive configuration interface. By exploring pre-built dashboards tailored for diverse use cases, you can harness metrics to improve your engineering processes effectively. Furthermore, you have the ability to create custom metrics and dashboards using SQL, broadening the potential applications of DevLake. This adaptability guarantees that DevLake can grow alongside the evolving needs of your team and the dynamic demands of the software development industry, making it an essential tool for continuous improvement. Embracing such a versatile platform can significantly enhance collaboration and efficiency within your development workflows.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon S3
Amazon Web Services (AWS)
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Jupyter Notebook
MinIO

Integrations Supported

Bitbucket
Docker
Elestio
Feishu
GitHub
GitLab
Gitee
Jenkins
Jira
SonarQube Server

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Treeverse

Date Founded

2020

Company Location

Israel

Company Website

lakefs.io

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

devlake.apache.org

Categories and Features

Data Management

Not specified

Categories and Features

DORA Metrics

Not specified

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