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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 Amazon Security Lake?

Amazon Security Lake seamlessly collects security data from AWS environments, various SaaS platforms, and both on-premises and cloud-based sources, consolidating it into a dedicated data lake within your account. With the implementation of Security Lake, businesses can gain a more comprehensive understanding of their security information across all domains. This solution significantly boosts the protection of your applications, workloads, and sensitive data. By adopting the Open Cybersecurity Schema Framework (OCSF), a standard open framework, Security Lake facilitates the normalization and integration of security data sourced from AWS along with diverse enterprise security resources. Furthermore, you can utilize your preferred analytics tools to investigate your security information while retaining complete control and ownership over that data. It enhances the centralized visibility of information from both cloud and on-premises sources across your accounts and AWS Regions. Moreover, by standardizing your security data under an open framework, you can streamline your data management processes at scale, promoting more efficient operational practices. This all-encompassing strategy not only improves your organization's security posture but also optimizes risk management efforts, ultimately fostering a safer digital environment. Consequently, embracing such a solution allows organizations to stay ahead of potential threats while ensuring regulatory compliance.

Media

Media

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
AWS Glue
AWS Lambda
Abstract Security
Amazon Athena
Amazon Simple Notification Service (SNS)
Apache Airflow
Apache Hive
Apache Spark
Astro by Astronomer
Azure Blob Storage
DataBahn
Databricks
Delta Lake
Google Cloud Storage
MLflow
MinIO
SimpleKPI
Vega

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
AWS Glue
AWS Lambda
Abstract Security
Amazon Athena
Amazon Simple Notification Service (SNS)
Apache Airflow
Apache Hive
Apache Spark
Astro by Astronomer
Azure Blob Storage
DataBahn
Databricks
Delta Lake
Google Cloud Storage
MLflow
MinIO
SimpleKPI
Vega

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.75 per GB per month
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/security-lake/

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

Cloud Security

Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management

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