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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 Cazena?

Cazena's Instant Data Lake drastically cuts down the time required for analytics and AI/ML from months to mere minutes. By leveraging a distinctive automated data platform, Cazena unveils an innovative SaaS model for data lakes that requires zero operational involvement from the users. Nowadays, companies are in search of a data lake that can effortlessly integrate all their data alongside crucial tools for analytics, machine learning, and artificial intelligence. For a data lake to function optimally, it must guarantee secure data ingestion, offer flexible data storage, manage access and identities efficiently, support integration with diverse tools, and enhance performance through various other capabilities. Constructing cloud data lakes in-house can be quite intricate and usually demands expensive specialized teams. Cazena’s Instant Cloud Data Lakes are not just built to be immediately operational for data loading and analytics; they also come with a fully automated setup that simplifies the entire process. With the backing of Cazena’s SaaS Platform, they provide continuous operational support and self-service access via the intuitive Cazena SaaS Console. Users benefit from a completely turnkey solution that is ready for secure data ingestion, optimized storage, and extensive analytics functionality, establishing it as an essential asset for businesses eager to maximize their data utilization efficiently and promptly. This seamless integration of advanced features positions Cazena's offerings as a game changer in the data management landscape.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS IoT SiteWise
Amazon Athena
Amazon Kinesis
Amazon S3
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Cloudera
Databricks
Google Cloud Storage
Hadoop
Jupyter Notebook
Looker
Microsoft Azure
Presto

Integrations Supported

Amazon Web Services (AWS)
AWS IoT SiteWise
Amazon Athena
Amazon Kinesis
Amazon S3
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Cloudera
Databricks
Google Cloud Storage
Hadoop
Jupyter Notebook
Looker
Microsoft Azure
Presto

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

Cazena

Date Founded

2015

Company Location

United States

Company Website

cazena.com

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

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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