Citus vs Vitess

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Citus

56
116
+ 1
10
Vitess

61
155
+ 1
0
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Citus vs Vitess: What are the differences?

Developers describe Citus as "Worry-free Postgres for SaaS. Built to scale out". Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service. On the other hand, Vitess is detailed as "It is a database clustering system for horizontal scaling of MySQL". It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.

Citus and Vitess belong to "Databases" category of the tech stack.

Some of the features offered by Citus are:

  • Multi-Node Scalable PostgreSQL
  • Built-in Replication and High Availability
  • Real-time Reads/Writes On Multiple Nodes

On the other hand, Vitess provides the following key features:

  • Scalability
  • Connection pooling
  • Manageability

Citus is an open source tool with 3.65K GitHub stars and 275 GitHub forks. Here's a link to Citus's open source repository on GitHub.

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Pros of Citus
Pros of Vitess
  • 6
    Multi-core Parallel Processing
  • 2
    Drop-in PostgreSQL replacement
  • 2
    Distributed with Auto-Sharding
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    - No public GitHub repository available -

    What is Citus?

    It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.

    What is Vitess?

    It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.

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    What companies use Citus?
    What companies use Vitess?
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    What tools integrate with Citus?
    What tools integrate with Vitess?

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    What are some alternatives to Citus and Vitess?
    TimescaleDB
    TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
    CockroachDB
    CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    Clickhouse
    It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
    See all alternatives