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What is Datomic?

Design flexible, decentralized systems that can leverage the totality of your vital data history instead of relying solely on the latest updates. You have the option to either enhance your existing infrastructure or make a direct shift to cloud-based solutions. To uncover essential insights, it's crucial to grasp the entire story of your data rather than focusing just on its most recent snapshot. Datomic offers a store of immutable facts, ensuring that your applications experience solid consistency while also providing horizontal read scalability and integrated caching functionalities. As facts are never altered directly and all data remains intact by default, you gain built-in auditing features and the ability to query historical data. Furthermore, this system is designed to support fully ACID-compliant transactions, ensuring reliability in data manipulations. The information architecture of Datomic is crafted to address a wide variety of use cases effectively. With the Datomic Peer library, you can distribute immutable data across your application nodes, guaranteeing in-memory data access. Alternatively, you can utilize the client library to set up lightweight nodes specifically designed for microservice frameworks, which enhances integration and boosts performance. By harnessing these features, you can develop a profound and comprehensive understanding of your data landscape, ultimately driving better decision-making and strategic planning. This approach not only enriches your data analysis but also positions your organization for future growth and adaptability.

What is Citus?

Citus enriches the widely appreciated Postgres experience by offering distributed table capabilities while being entirely open source. It now accommodates both schema-based and row-based sharding, ensuring compatibility with Postgres 16. You can effectively scale Postgres by distributing data and queries, starting with a single Citus node and smoothly incorporating additional nodes and rebalancing shards as your requirements grow. By leveraging parallelism, keeping a larger dataset in memory, boosting I/O bandwidth, and using columnar compression, query performance can be significantly enhanced, achieving speeds up to 300 times or even more. As an extension rather than a separate fork, Citus remains compatible with the latest Postgres versions, allowing you to leverage your existing SQL expertise and tools. Furthermore, it enables you to address infrastructure challenges by managing both transactional and analytical workloads within one database system. Available for free as open source, Citus allows for self-management while also inviting contributions to its development via GitHub. Transitioning your focus from database management to application development becomes easier as you run your applications on Citus within the Azure Cosmos DB for PostgreSQL environment, thus streamlining your workflow. This integration not only boosts efficiency but also empowers developers to harness the full potential of scalable, high-performance database solutions.

Media

Media

Integrations Supported

Amazon DynamoDB
Amazon Web Services (AWS)
Apache Cassandra
Oracle Database

Integrations Supported

Algolia
Azure Cosmos DB
CentOS
Cisco CX Cloud
ConvertFlow
CrossMigrateDB
Debian
Docker
Fedora
Freshworks Neo
GitHub
Microsoft Azure
MixRank
PEX
PostgreSQL
Salesloft

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

$0.27 per hour
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Datomic

Date Founded

2016

Company Location

United States

Company Website

www.datomic.com

Company Facts

Organization Name

Citus Data

Company Location

United States

Company Website

www.citusdata.com

Categories and Features

Distributed Databases

Not specified

Categories and Features

Distributed Databases

Not specified

OLAP Databases

Not specified

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