Library/garnet
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microsoft/garnet

garnet

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

Builder

Microsoft

Microsoft

microsoft • big-tech

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11,791

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646

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0/100

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Created

Aug 21, 2023

Project creation date

README Summary

Garnet is a high-performance remote cache-store developed by Microsoft Research that provides strong throughput, low latency, and comprehensive scalability features. It offers advanced capabilities including storage, recovery, cluster sharding, key migration, and replication while maintaining compatibility with existing Redis clients. The system is designed to be a drop-in replacement for Redis with enhanced performance characteristics.

AI Dev Skills

Unmapped

Distributed Systems ArchitectureHigh-Performance CachingMemory ManagementNetwork Protocol ImplementationCluster ComputingData Replication StrategiesPerformance Optimization

Tags

Distributed Systems ArchitectureHigh-Performance CachingMemory ManagementNetwork Protocol ImplementationCluster ComputingData Replication StrategiesPerformance OptimizationDistributed Application State ManagementGamingFinTechEdgeReal-time AnalyticsReal-time Session ManagementReal-time AI InferenceDeveloper ToolsIoT Sensor Data BufferingOn-premiseEdge ComputingCompound AI SystemsSelf-hostedHigh-frequency Trading Data CachingIoTCloudHigh-throughput API Response CachingE-commerceStructured DataKey-Value DataGaming Leaderboard StorageBinary DataHealthcareC#

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Recent Activity

Updated 27 days ago

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Quality

beta
Quality
high
Maturity
beta

Categories

Dev Tools & AutomationPrimaryIndustry: FinTechRAG & RetrievalInference & ServingFinance & LegalEdge & Mobile AIOther AI / MLData Science & AnalyticsHealthcare & Biology

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Developer Platform

Languages

C#100.0%

Timeline

Project created
Aug 21, 2023
Forked
Mar 13, 2026
Your last push
27 days ago
Upstream last push
6 days ago
Tracked since
Mar 17, 2026

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