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Hudson vs Redis

A source-aware comparison of pricing, documented capabilities and workflow fit.

Short answer

These lines are generated from the pricing we track, not from a paid placement. How we score tools.

What Hudson is

Eclipse Hudson is an EPL-licensed Java continuous-integration server designed to run in a servlet container and execute builds from several source-control systems. The Eclipse Foundation now marks the project Archived and lists 3.4.0 from September 2016 as its latest release, so it should be treated as legacy infrastructure to inventory, isolate and migrate—not as a current CI choice.

What Redis is

Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine. Because it holds all data in RAM, it provides sub-millisecond response times, making it the go-to solution for high-performance applications. Whether you need to manage real-time session data, build a leader-board, or implement a high-speed caching layer to reduce your main database load, Redis is the industry standard for speed and simplicity.

Side by side

HudsonRedis
CategoryDeveloper ToolsDeveloper Tools
How to startFreeverifiedFreeverified
Public APINoYes
Mobile appNoNo
Open source / self-hostableYesYes
SSO (SAML)NoNo
VisitHudsonRedis

What Hudson is built to do

Java CI server
Historically ran as a Java application in servlet containers such as Tomcat or GlassFish.
SCM integrations
The archived project page lists CVS, Subversion, Git and ClearCase support.
Build execution
Historically executed Ant, Maven, shell-script and Windows batch workloads.
Archived lifecycle
The authoritative project record now identifies Hudson as archived.

What Redis is built to do

In-Memory Storage
Store and retrieve data directly from RAM for maximum possible performance.
Persistence
Configure RDB or AOF to ensure your data survives a server restart.
Redis Sentinel
High availability solution for monitoring and automatic failover.
Geospatial Indexing
Store and query location data for building map-based applications.

Choose Hudson if

  • Identifying an existing Hudson server and its historical role
  • Planning retirement or migration of legacy Hudson jobs
  • Preserving read-only historical context during a controlled transition

Skip Hudson if

  • You are selecting a CI platform for a new project
  • You require current security fixes, platform support or maintained plugins
  • The build system will hold production credentials or run untrusted code

Choose Redis if

  • Backend Engineers and DevOps Professionals.

Evidence and freshness

Where a claim on this page comes from a vendor page, it is linked here.

Hudson

Official sources reviewed · reviewed 2026-08-24

Redis

Vendor pricing page verified · reviewed 2026-08-31

Hudson: pros & cons

  • Legacy recognition: The official page identifies the runtime, supported build styles and historical SCM integrations for existing installations.
  • Open-source history: Eclipse lists the project under the Eclipse Public License 1.0.
  • Migration context: Its documented Java servlet-container architecture helps teams locate dependencies around an inherited instance.
  • Archived project: Eclipse explicitly marks Hudson archived, so ongoing fixes and current platform compatibility should not be assumed.
  • Old release line: The latest release shown by Eclipse is 3.4.0 from 2016.
  • Security exposure: An internet-facing or privileged build system without current maintenance creates material dependency, plugin and credential risk.
  • Migration work: Jobs, plugins, credentials, agents and artifact flows must be inventoried and tested on a maintained replacement.

Redis: pros & cons

  • Incredible Speed: Performs millions of operations per second with near-zero latency.
  • Versatile Data Types: Supports strings, hashes, lists, sets, and sorted sets.
  • Pub/Sub Support: Built-in messaging system for real-time application communication.
  • Persistence Options: Can save data to disk while maintaining in-memory speed.
  • RAM Limits: Your dataset size is limited by the amount of RAM available on your server.
  • Complexity: Managing distributed clusters can be difficult for small teams.
  • Data Loss Risk: If not configured correctly, an abrupt shutdown can lead to data loss.

Our verdict on Hudson

Do not choose Hudson for a new deployment. If it already exists, restrict access, inventory every job and secret, preserve required history, and migrate to a maintained CI platform with tested rollback.

Our verdict on Redis

The indispensable speed layer for any modern, high-traffic web application.

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