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What is Yugabyte?

Introducing a state-of-the-art distributed SQL database that stands out for its high performance, open-source nature, and cloud-native design, making it an exceptional choice for applications that operate at a global scale. Users can enjoy remarkably low latency, often measured in single-digit milliseconds, enabling the development of ultra-fast cloud applications by executing queries right from the database. It can manage substantial workloads with ease, achieving millions of transactions per second while supporting several terabytes of data per node. Thanks to its geo-distribution features, deployment can occur across various regions and cloud platforms, with options for synchronous or multi-master replication to enhance performance. Crafted for contemporary cloud-native architectures, YugabyteDB transforms the processes of application development, deployment, and management to unprecedented levels. Developers will find increased agility as they leverage the full potential of PostgreSQL-compatible SQL combined with distributed ACID transactions. The system ensures resilient services by providing continuous availability, even in the face of failures in compute, storage, or network systems. Resources can be scaled on demand, allowing for the easy addition or removal of nodes without the burden of over-provisioned clusters. Furthermore, it offers significantly reduced user latency, guaranteeing a smooth experience for users of your applications. This database not only meets today's demands but is also prepared to adapt to future technological advancements, ensuring long-term viability.

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

CrossMigrateDB
Arcion
Arctype
Authorizer
Devii
Draxlr

Integrations Supported

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

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.27 per hour
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Yugabyte

Company Location

United States

Company Website

www.yugabyte.com

Company Facts

Organization Name

Citus Data

Company Location

United States

Company Website

www.citusdata.com

Categories and Features

Database

Not specified

Distributed Databases

Not specified

SQL Databases

Not specified

Categories and Features

Distributed Databases

Not specified

OLAP Databases

Not specified

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