Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • SureSync Reviews & Ratings
    13 Ratings
    Company Website
  • Comet Backup Reviews & Ratings
    224 Ratings
    Company Website
  • Kamatera Reviews & Ratings
    151 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    57,010 Ratings
    Company Website
  • MuleSoft Anypoint Platform Reviews & Ratings
    1,480 Ratings
    Company Website
  • Red Points Reviews & Ratings
    54 Ratings
    Company Website
  • QA Wolf Reviews & Ratings
    198 Ratings
    Company Website
  • Lockbox LIMS Reviews & Ratings
    63 Ratings
    Company Website
  • QuantaStor Reviews & Ratings
    6 Ratings
    Company Website

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 Alibaba Cloud Data Lake Formation?

A data lake acts as a comprehensive center for overseeing vast amounts of data and artificial intelligence tasks, facilitating the limitless storage of various data types, both structured and unstructured. Central to the framework of a cloud-native data lake is Data Lake Formation (DLF), which streamlines the establishment of such a lake in the cloud. DLF ensures smooth integration with a range of computing engines, allowing for effective centralized management of metadata and strong enterprise-level access controls. This system adeptly collects structured, semi-structured, and unstructured data, supporting extensive data storage options. Its architecture separates computing from storage, enabling cost-effective resource allocation as needed. As a result, this design improves data processing efficiency, allowing businesses to adapt swiftly to changing demands. Furthermore, DLF automatically detects and consolidates metadata from various engines, tackling the issues created by data silos and fostering a well-organized data ecosystem. The features that DLF offers ultimately enhance an organization's ability to utilize its data assets to their fullest potential, driving better decision-making and innovation. In this way, businesses can maintain a competitive edge in their respective markets.

Media

Media

Integrations Supported

Alibaba Cloud
Amazon Athena
Amazon Kinesis
Amazon S3
Amazon SES
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Databricks Data Intelligence Platform
Google Cloud Storage
Hadoop
Jupyter Notebook
MLflow
MinIO
SimpleKPI

Integrations Supported

Alibaba Cloud
Amazon Athena
Amazon Kinesis
Amazon S3
Amazon SES
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Databricks Data Intelligence Platform
Google Cloud Storage
Hadoop
Jupyter Notebook
MLflow
MinIO
SimpleKPI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Treeverse

Date Founded

2020

Company Location

Israel

Company Website

lakefs.io

Company Facts

Organization Name

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/es/product/datalake-formation

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Popular Alternatives

Popular Alternatives

Archon Data Store Reviews & Ratings

Archon Data Store

Platform 3 Solutions
BigLake Reviews & Ratings

BigLake

Google
BigLake Reviews & Ratings

BigLake

Google
Azure Data Lake Reviews & Ratings

Azure Data Lake

Microsoft