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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

HyperLake is designed specifically for organizations that are ready to embrace a future where AI agents are the primary users of their infrastructure. Currently, most enterprise infrastructures cater primarily to human users, relying on dashboards, applications, and pre-scheduled pipelines. In contrast, AI agents function differently by querying data, utilizing tools, triggering workflows, generating artifacts, and operating across various systems, which necessitates their continuous access to managed compute resources, data, policies, and services. To address this shift, HyperLake offers a command center that facilitates the deployment, management, operation, security, and governance of this agent-centric infrastructure. The initial offering focuses on Agentic Data Cloud Infrastructure, which includes an open-stack solution for data, analytics, semantics, workflows, and agent systems that can be deployed within the customer’s own virtual private cloud, private cloud, or on-premises setups. This innovative approach ensures that organizations can seamlessly integrate AI agents into their existing frameworks, enhancing efficiency and adaptability in their operations.

Description

lakeFS allows you to control your data lake similarly to how you manage your source code, facilitating parallel pipelines for experimentation as well as continuous integration and deployment for your data. This platform streamlines the workflows of engineers, data scientists, and analysts who are driving innovation through data. As an open-source solution, lakeFS enhances the resilience and manageability of object-storage-based data lakes. With lakeFS, you can execute reliable, atomic, and versioned operations on your data lake, encompassing everything from intricate ETL processes to advanced data science and analytics tasks. It is compatible with major cloud storage options, including AWS S3, Azure Blob Storage, and Google Cloud Storage (GCS). Furthermore, lakeFS seamlessly integrates with a variety of modern data frameworks such as Spark, Hive, AWS Athena, and Presto, thanks to its API compatibility with S3. The platform features a Git-like model for branching and committing that can efficiently scale to handle exabytes of data while leveraging the storage capabilities of S3, GCS, or Azure Blob. In addition, lakeFS empowers teams to collaborate more effectively by allowing multiple users to work on the same dataset without conflicts, making it an invaluable tool for data-driven organizations.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Athena
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Databricks
Delta Lake
Google Cloud Storage
Hadoop
Jupyter Notebook
Looker
MLflow
MinIO
Presto
SimpleKPI

Integrations

Amazon Athena
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Astro by Astronomer
Azure Blob Storage
Databricks
Delta Lake
Google Cloud Storage
Hadoop
Jupyter Notebook
Looker
MLflow
MinIO
Presto
SimpleKPI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

CerebrixOS

Founded

2023

Country

Canada

Website

www.cerebrixos.com

Vendor Details

Company Name

Treeverse

Founded

2020

Country

Israel

Website

lakefs.io

Product Features

Product 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

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