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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

Create adaptable, decentralized systems that can utilize the complete history of your vital data rather than just its latest version. You can either build these systems on your current infrastructure or opt to transition directly to cloud solutions. Gaining critical insights requires understanding the entire narrative of your data, not merely its most recent status. Datomic maintains a repository of unchangeable facts, offering your applications a robust consistency while facilitating horizontal read scalability along with integrated caching features. Since facts are never modified directly and all data is preserved by default, you benefit from inherent auditing capabilities and the option to query historical information. Additionally, this system supports fully ACID-compliant transactions. The information model of Datomic is designed to accommodate a diverse range of use cases. With the Datomic Peer library, you can disseminate immutable data across your application nodes, ensuring in-memory access to your information. Alternatively, leverage the client library to establish lightweight nodes tailored for microservice architectures, enabling seamless integration and enhanced performance. By utilizing these capabilities, you can achieve a comprehensive understanding of your data landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Algolia Yes 
Amazon DynamoDB No 
Apache Cassandra No 
Azure Cosmos DB Yes 
CentOS Yes 
Cisco CX Cloud Yes 
ConvertFlow Yes 
Debian Yes 
Docker Yes 
Fedora Yes 
Freshworks Neo Yes 
GitHub Yes 
Microsoft Azure Yes 
MixRank Yes 
Oracle Database No 
PEX Yes 
PostgreSQL Yes 
Salesloft Yes 
Ubuntu Yes 

Integrations

Algolia No 
Amazon DynamoDB Yes 
Apache Cassandra Yes 
Azure Cosmos DB No 
CentOS No 
Cisco CX Cloud No 
ConvertFlow No 
Debian No 
Docker No 
Fedora No 
Freshworks Neo No 
GitHub No 
Microsoft Azure No 
MixRank No 
Oracle Database Yes 
PEX No 
PostgreSQL No 
Salesloft No 
Ubuntu No 

Pricing Details

$0.27 per hour
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 No 
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) Yes 
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

Datomic

Founded

2016

Country

United States

Website

www.datomic.com

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