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Redis

Redis

Infraestructura de Datos · redis.io

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Resumen

Redis is the in-memory data store most engineers reach for when a database query is too slow. It keeps data in RAM as keys and values, with support for queues, pub/sub, counters, and more, making it the standard layer for caching, sessions, rate limiting, and real-time features. Its users are developers across nearly every stack, from a single cache to high-throughput production systems. The open-source core is free to self-host, with a managed cloud option for teams that don't want to run it. Two caveats: RAM is more expensive than disk, so large datasets cost real money, and recent licensing changes have pushed some users toward forks like Valkey.

El problema que resuelve Redis

Data infrastructure teams need a repeatable way to replace disconnected systems and manual handoffs with measurable operational execution. Redis is relevant because the independently reviewed profile explains redis is the in-memory data store most engineers reach for when a database query is too slow. Buyers should validate current pricing, integrations, data handling, and fit before committing.

Ideal para

  • B2B teams evaluating data infrastructure software
  • Teams that need documented workflow capabilities and fit guidance
  • Organizations willing to validate implementation and plan limits

No encaja si

  • Teams seeking a workflow outside the product's documented focus
  • Teams needing unlimited usage without plan limits
  • Organizations that cannot validate implementation effort or vendor claims

Por qué está listada

  • Adds a distinct data infrastructure workflow to the directory
  • Editorial review includes a substantial overview, pricing context, strengths, tradeoffs, and fit guidance
  • Provides comparison context for data infrastructure buyers

Precios

Free or entry plan

Free

The reviewed profile lists a starting price of 0 USD; confirm billing period and limits.

  • Documented capability: Redis is the in-memory data store most engineers reach for when a database query is too slow.
  • Documented capability: It keeps data in RAM as keys and values, with support for queues, pub/sub, counters, and more, making it the standard layer for caching, sessions
  • Documented capability: Its users are developers across nearly every stack, from a single cache to high-throughput production systems.
  • Documented capability: The open-source core is free to self-host, with a managed cloud option for teams that don't want to run it.
  • Documented capability: Two caveats: RAM is more expensive than disk, so large datasets cost real money, and recent licensing changes have pushed some users toward forks
  • Editorially noted strength: Extremely fast Versatile Managed cloud option

Higher tiers

Custom pricing

Higher tiers, usage limits, and enterprise terms should be confirmed with the vendor.

  • Documented capability: Its users are developers across nearly every stack, from a single cache to high-throughput production systems.
  • Documented capability: The open-source core is free to self-host, with a managed cloud option for teams that don't want to run it.
  • Documented capability: Two caveats: RAM is more expensive than disk, so large datasets cost real money, and recent licensing changes have pushed some users toward forks
  • Editorially noted strength: Extremely fast Versatile Managed cloud option

Funciones

Documented capability: Redis is the in-memory data store most engineers reach for when a database query is too slow.Documented in the Softwares.com editorial review.
Documented capability: It keeps data in RAM as keys and values, with support for queues, pub/sub, counters, and more, making it the standard layer for caching, sessionsDocumented in the Softwares.com editorial review.
Documented capability: Its users are developers across nearly every stack, from a single cache to high-throughput production systems.Documented in the Softwares.com editorial review.
Documented capability: The open-source core is free to self-host, with a managed cloud option for teams that don't want to run it.Documented in the Softwares.com editorial review.
Documented capability: Two caveats: RAM is more expensive than disk, so large datasets cost real money, and recent licensing changes have pushed some users toward forksDocumented in the Softwares.com editorial review.
Editorially noted strength: Extremely fast Versatile Managed cloud optionDocumented in the Softwares.com editorial review.

Pros y contras

Pros

  • Editorial review documents a concrete business workflow
  • Documented capability: Redis is the in-memory data store most engineers reach for when a database query is too slow.
  • Documented capability: It keeps data in RAM as keys and values, with support for queues, pub/sub, counters, and more, making it the standard layer for caching, sessions
  • Documented capability: Its users are developers across nearly every stack, from a single cache to high-throughput production systems.

Contras

  • Pricing and usage limits should be checked against the exact plan
  • Implementation effort depends on the team's data and process maturity
  • Reported outcomes should be validated with the buyer's own data

Qué muestra el registro

4.7/5
No reviews yet agregadasÚltima comprobación 2026-08-18

Softwares.com editorial research describes redis is the in-memory data store most engineers reach for when a database query is too slow.

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