AudyenseRedis
Data Infrastructure · redis.io
Overview
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.
The problem Redis solves
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.
Best for
- B2B teams evaluating data infrastructure software
- Teams that need documented workflow capabilities and fit guidance
- Organizations willing to validate implementation and plan limits
Not a fit if
- 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
Why it’s listed
- 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
Pricing
Free or entry plan
FreeThe 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 pricingHigher 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
Features
Pros & cons
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.
Cons
- 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
What the record shows
Softwares.com editorial research describes redis is the in-memory data store most engineers reach for when a database query is too slow.
Summary and score aggregated from public review platforms. We link to original reviews rather than reproducing them — read the source before deciding.
User reviews
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