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features
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support

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Description

Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.

Description

Databend is an innovative, cloud-native data warehouse crafted to provide high-performance and cost-effective analytics for extensive data processing needs. Its architecture is elastic, allowing it to scale dynamically in response to varying workload demands, thus promoting efficient resource use and reducing operational expenses. Developed in Rust, Databend delivers outstanding performance through features such as vectorized query execution and columnar storage, which significantly enhance data retrieval and processing efficiency. The cloud-first architecture facilitates smooth integration with various cloud platforms while prioritizing reliability, data consistency, and fault tolerance. As an open-source solution, Databend presents a versatile and accessible option for data teams aiming to manage big data analytics effectively in cloud environments. Additionally, its continuous updates and community support ensure that users can take advantage of the latest advancements in data processing technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alpine IQ
Apache Atlas
Apache Pinot
Azure Data Factory
Azure Data Lake Analytics
Azure Virtual Machines
BigLake
Dasera
Dimodelo
Electrik.Ai
Evvox
Immuta
Microsoft Azure
Okera
Openbridge
Privacera
StarfishETL
Streamkap
Validio
Visual Studio

Integrations

Alpine IQ
Apache Atlas
Apache Pinot
Azure Data Factory
Azure Data Lake Analytics
Azure Virtual Machines
BigLake
Dasera
Dimodelo
Electrik.Ai
Evvox
Immuta
Microsoft Azure
Okera
Openbridge
Privacera
StarfishETL
Streamkap
Validio
Visual Studio

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/solutions/data-lake/

Vendor Details

Company Name

Databend

Founded

2021

Country

Singapore

Website

databend.rs/

Product Features

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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