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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Citus enhances the beloved Postgres experience by integrating the capability of distributed tables, while remaining fully open source. It now supports both schema-based and row-based sharding, alongside compatibility with Postgres 16. You can scale Postgres effectively by distributing both data and queries, starting with a single Citus node and seamlessly adding more nodes and rebalancing shards as your needs expand. By utilizing parallelism, maintaining a larger dataset in memory, increasing I/O bandwidth, and employing columnar compression, you can significantly accelerate query performance by up to 300 times or even higher. As an extension rather than a fork, Citus works with the latest versions of Postgres, allowing you to utilize your existing SQL tools and build on your Postgres knowledge. Additionally, you can alleviate infrastructure challenges by managing both transactional and analytical tasks within a single database system. Citus is available for free download as open source, giving you the option to self-manage it while actively contributing to its development through GitHub. Shift your focus from database concerns to application development by running your applications on Citus within the Azure Cosmos DB for PostgreSQL environment, making your workflow more efficient.

Description

An in-memory, column-oriented database combined with a Massively Parallel Processing (MPP) architecture enables the rapid querying of billions of records within mere seconds. The distribution of queries across all nodes in a cluster ensures linear scalability, accommodating a larger number of users and facilitating sophisticated analytics. The integration of MPP, in-memory capabilities, and columnar storage culminates in a database optimized for exceptional data analytics performance. With various deployment options available, including SaaS, cloud, on-premises, and hybrid solutions, data analysis can be performed in any environment. Automatic tuning of queries minimizes maintenance efforts and reduces operational overhead. Additionally, the seamless integration and efficiency of performance provide enhanced capabilities at a significantly lower cost compared to traditional infrastructure. Innovative in-memory query processing has empowered a social networking company to enhance its performance, handling an impressive volume of 10 billion data sets annually. This consolidated data repository, paired with a high-speed engine, accelerates crucial analytics, leading to better patient outcomes and improved financial results for the organization. As a result, businesses can leverage this technology to make quicker data-driven decisions, ultimately driving further success.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Algolia Yes 
Alteryx No 
Apache Superset No 
Azure Cosmos DB Yes 
Azure Marketplace No 
CONVAYR No 
ConvertFlow Yes 
DataClarity Unlimited Analytics No 
DbVisualizer No 
Fedora Yes 
Freshworks Neo Yes 
GitHub Yes 
Gravity Data No 
InsightFinder No 
Microsoft Power Query No 
Onfinity ERP No 
Salesloft Yes 
TIMi No 
Zoho DataPrep No 

Integrations

Algolia No 
Alteryx Yes 
Apache Superset Yes 
Azure Cosmos DB No 
Azure Marketplace Yes 
CONVAYR Yes 
ConvertFlow No 
DataClarity Unlimited Analytics Yes 
DbVisualizer Yes 
Fedora No 
Freshworks Neo No 
GitHub No 
Gravity Data Yes 
InsightFinder Yes 
Microsoft Power Query Yes 
Onfinity ERP Yes 
Salesloft No 
TIMi Yes 
Zoho DataPrep Yes 

Pricing Details

$0.27 per hour
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Citus Data

Country

United States

Website

www.citusdata.com

Vendor Details

Company Name

Exasol

Country

Germany

Website

www.exasol.com

Product Features

Big Data

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

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