Citus vs IBM DB2

Need advice about which tool to choose?Ask the StackShare community!

Citus

49
99
+ 1
9
IBM DB2

220
220
+ 1
19
Add tool

Citus vs IBM DB2: What are the differences?

Citus: 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; IBM DB2: A family of database server products developed by IBM. DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

Citus and IBM DB2 can be primarily classified as "Databases" tools.

"Multi-core Parallel Processing" is the top reason why over 3 developers like Citus, while over 5 developers mention "Rock solid and very scalable" as the leading cause for choosing IBM DB2.

Citus is an open source tool with 3.64K GitHub stars and 273 GitHub forks. Here's a link to Citus's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Citus
Pros of IBM DB2
  • 5
    Multi-core Parallel Processing
  • 2
    Drop-in PostgreSQL replacement
  • 2
    Distributed with Auto-Sharding
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
  • 1
    Best performance

Sign up to add or upvote prosMake informed product decisions

- 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 IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Citus and IBM DB2 as a desired skillset
CBRE
United States of America Texas Richardson
CBRE
United States of America Texas Richardson
CBRE
United States of America Texas Richardson
CBRE
United States of America Texas Richardson
CBRE
United States of America Texas Richardson
CBRE
United Kingdom of Great Britain and Northern Ireland England London
What companies use Citus?
What companies use IBM DB2?
See which teams inside your own company are using Citus or IBM DB2.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Citus?
What tools integrate with IBM DB2?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

What are some alternatives to Citus and IBM DB2?
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.
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.
See all alternatives