For developers building applications that need fast data access, Redis is an in-memory data platform that also functions as a vector database, letting teams cache, queue, and run AI retrieval workloads from one system.

Presence & Market Position

30
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#33 of 124
GTM Developer Tools

▲ 12 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Redis is positioning its real-time data platform as the memory and context layer for production agents, extending its established role in application caching and state management. Its growing GTM footprint centers on developer workflows: serving live recommendations, recalling agent memory, and combining search with application data. Practitioner discussion also covers database security, deployment options, and performance monitoring. Some of that conversation concerns Redis-compatible services rather than Redis's own products. The Databricks partnership adds a concrete personalization use case alongside the company's newer emphasis on agent infrastructure.

Related brands
Customers

Character.ai, Ulta Beauty, Axis Bank, Raymond James, Sony LIV, Plivo, CP AXTRA, Blip, Cognee, Superlinked

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Business Profile

Founded in 2011, Redis has grown from open source roots into an independent enterprise data business with managed cloud and on-premises offerings. The record carries roughly 1,500 employees and $347 million in funding, with reported ARR above $300 million as of January 2026. Its commercial scope now spans established caching workloads and newer AI applications. The current company story centers on bringing that existing data infrastructure into production agent systems, while continuing to sell the deployment options and operational support enterprise buyers need.

Founded
2011
Employees
1,500
Funding
$347M
ARR
$300M+ ARR (Jan 2026)
Valuation
$2B (2021)
Status
Independent
Scale stage
Scaled
Type
GTM Developer Tools
Developer capabilities
Storage, Memory & Context
Key people

Agent Readiness

91A
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Redis has extended vector retrieval and caching into a broader agent context offering through Iris, covering memory, routing, context access, and traceability. APIs and SDKs support application integration, while its published MCP server lets agents read, write, and query Redis data. A separate hosted documentation MCP gives coding agents access to Redis guidance. The November Iris expansion includes capabilities still in beta.

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