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What is Hydra?

Hydra presents a groundbreaking, open-source approach that converts Postgres into a column-oriented database, facilitating immediate queries across billions of rows without requiring any changes to your current codebase. Utilizing sophisticated methods such as parallelization and vectorization for aggregate operations like COUNT, SUM, and AVG, Hydra greatly improves the speed and effectiveness of data processing within Postgres. In a mere five minutes, you can implement Hydra while keeping your existing syntax, tools, data model, and extensions intact, making integration remarkably straightforward. For those interested in a hassle-free experience, Hydra Cloud delivers seamless functionality and peak performance. Industries can tap into customized analytics by harnessing robust Postgres extensions and personalized functions, empowering you to manage your data requirements effectively. Tailored to meet user needs, Hydra emerges as the quickest Postgres solution for analytical purposes, proving to be an indispensable asset for data-centric decision-making. With features such as columnar storage, query parallelization, and vectorization, Hydra is set to revolutionize the landscape of analytics and transform how organizations engage with their data. As the demand for rapid and efficient data analysis grows, Hydra positions itself as a game-changer in the realm of database management.

What is Exasol?

A database designed with an in-memory, columnar structure and a Massively Parallel Processing (MPP) framework allows for the swift execution of queries on billions of records in just seconds. By distributing query loads across all nodes within a cluster, it provides linear scalability, which supports an increasing number of users while enabling advanced analytics capabilities. The combination of MPP architecture, in-memory processing, and columnar storage results in a system that is finely tuned for outstanding performance in data analytics. With various deployment models such as SaaS, cloud, on-premises, and hybrid, organizations can perform data analysis in a range of environments that suit their needs. The automatic query tuning feature not only lessens the required maintenance but also diminishes operational costs. Furthermore, the integration and performance efficiency of this database present enhanced capabilities at a cost significantly lower than traditional setups. Remarkably, innovative in-memory query processing has allowed a social networking firm to improve its performance, processing an astounding 10 billion data sets each year. This unified data repository, coupled with a high-speed processing engine, accelerates vital analytics, ultimately contributing to better patient outcomes and enhanced financial performance for the organization. Thus, organizations can harness this technology for more timely, data-driven decision-making, leading to greater success and a competitive edge in the market. Moreover, such advancements in technology are setting new benchmarks for efficiency and effectiveness in various industries.

Media

Media

Integrations Supported

PostgreSQL

Integrations Supported

Alteryx
Apache Superset
Astro by Astronomer
Azure Marketplace
CONVAYR
Data Virtuality
DataClarity Unlimited Analytics
DataGrip
DbVisualizer
Emgage
Gravity Data
InsightFinder
Microsoft Power Query
Preset
Pyramid Analytics
Sqitch
Starburst Enterprise
TIMi
Zoho DataPrep

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Hydra

Date Founded

2021

Company Location

United States

Company Website

www.hydra.so/

Company Facts

Organization Name

Exasol

Company Location

Germany

Company Website

www.exasol.com

Categories and Features

Database

Not specified

OLAP Databases

Not specified

Categories and Features

Big Data

Data Cleansing
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Templates

In-Memory Databases

Not specified

OLAP Databases

Not specified

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