In-memory data structure store used for caching and fast access to frequently queried data.
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Cache
Build better experiences that grow with you—with accessible, enterprise-grade caching built by the devs who brought you open source Redis.
Vector
Database
res11 = r.json().set(“newbike”, “$”, [“Deimos”, {“crashes”: 0}, None])
print(res11) # >>> True
res12 = r.json().get(“newbike”, “$”)
print(res12) # >>> [‘[“Deimos”, { “crashes”: 0 }, null]’]
res13 = r.json().get(“newbike”, “$[1].crashes”)
print(res13) # >>> [‘0’]
res14 = r.json().delete(“newbike”, “$.[-1]”)
print(res14) # >>> [1]
res15 = r.json().get(“newbike”, “$”)
print(res15) # >>> [[‘Deimos’, {‘crashes’: 0}]]
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Redis as a vector database
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And they tell good stories
Customer stories
Finance
Flowdesk implements Redis for real-time analytics, achieving 10x faster query performance and 50% reduction in infrastructure costs.
Customer stories
SOFTWARE
Docugami uses Redis to easily store, search, and update vector embeddings at scale.
Customer stories
Security
Ekata uses Auto Tiering, which requires 70% less of the expensive DRAM storage they needed before Redis.
Customer stories
Mobile gaming
Redis allows Niantic to use less overhead to balance their server load and offer great player experiences.
Customer stories
Retail
Ulta implements Redis to enhance customer experience, achieving 50% reduction in response time and scaling to handle more than 300,000 transactions per second.
Customer stories
Hospitality
iFood boosts performance and scalability with Redis, achieving a 50% reduction in latency and a 3x increase in throughput for its food delivery platform.
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