来源：https://www.dragonflydb.io/guides/key-value-databases
Database Strengths Weaknesses Storage Visits GH
- Redis Logo
Redis
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Fast data access, Rich data structures, High availability, Persistence options Limited query capabilities, Data size limited by memory In-memory 444.0k 64.9k - Etcd Logo
Etcd
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High availability, strong consistency, secure communication Complexity in large-scale deployments B-Tree 27.7k 46.4k - LevelDB Logo LevelDB High performance, Lightweight, Easy to use API No built-in concurrency (external locking needed), No native support for high availability or replication Disk - 35.1k
- RocksDB Logo RocksDB Highly customizable, Support for atomic writes, Compression and compaction for efficient storage Requires manual management of some operations, Steeper learning curve for advanced features LSM-tree 25.5k 27.4k
- DragonflyDB Logo DragonflyDB High performance, Redis and Memcached API compatibility, Vertical scaling Relatively new to market In-memory 182.7k 23.9k
- FoundationDB Logo FoundationDB Transaction support across multiple keys, Scalability, Versatility through layers Complexity in development and deployment, Steeper learning curve due to unique concepts B-Tree 3.4k 14.0k
- BadgerDB Logo BadgerDB Fast writes, efficient space usage Compaction can affect read latency LSM tree 25.1k 13.4k
- Memcached Logo
Memcached
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Simplicity, Speed Lack of data persistence, Manual management of cache invalidation In-memory 14.5k 13.2k - ScyllaDB Logo
ScyllaDB
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Performance, scalability, compatible with Cassandra ecosystems More complex to deploy and manage compared to simpler database systems Seastar Framework 55.6k 12.6k - YugabyteDB Logo
YugabyteDB
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Open source with strong community, Supports SQL and NoSQL models, Provides high availability and fault tolerance, Supports geo-distribution and multi-cloud deployments May be overkill for simple use cases, Can be complex to deploy and manage compared to non-distributed databases Distributed SQL 31.8k 8.5k - Hazelcast IMDG Logo
Hazelcast IMDG
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Highly scalable, Fast data access Persistence as an add-on feature In-memory 38.0k 5.9k - Apache Ignite Logo Apache Ignite In-memory speeds with durability options, Compute grid capabilities Complex configuration for new users In-memory, Disk-based Durability 3.8m 4.7k
- Riak KV Logo Riak KV Fault tolerance, Scalability, Operational simplicity Complexity in configuration and tuning, Overhead for full-text search Bitcask, LevelDB - 3.9k
- Tarantool Logo Tarantool Speed, flexibility of Lua scripting, easy scaling Learning curve for Lua, eventual consistency model may not fit all business requirements Memory with optional disk persistence 4.6k 3.3k
- Voldemort Logo Voldemort Scalability, fault tolerance, data versioning Complex configuration and setup, lack of active development BDB, MySQL, Hadoop, etc. 1 2.6k
- UnQLite Logo UnQLite Flexible data model, ease of embedding Limited by single-node architecture NA 810 2.0k
- Aerospike Logo
Aerospike
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Scalability, Reliability, High availability, Low latency Learning curve for tuning and operation, Storage cost for very large datasets Hybrid Memory Architecture 35.0k 972 - Plyvel Logo Plyvel Ease of use for Python developers, performance benefits of LevelDB Limited to key-value data models, Python-centric LevelDB - 512
- Amazon DynamoDB Logo
Amazon DynamoDB
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Scalability, Managed service, Integration with AWS ecosystem Cost can be unpredictable, Limited to AWS NA - - - Berkeley DB Logo Berkeley DB Flexibility in data storage models, Highly customizable, Supports complex data structures Complex to implement and manage, Less community support Embedded 13.3m -
- LMDB Logo LMDB Low latency reads, compact size, data integrity Single writer limits write scalability B+tree 1.0k -
- Couchbase Server Logo
Couchbase Server
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Flexible and scalable architecture, comprehensive mobile data synchronization Complexity in deployment and management for large clusters Multi-Dimensional Scaling (MDS), Global Secondary Indexes (GSI) 68.0k - - Pivotal GemFire Logo
Pivotal GemFire
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Data distribution and replication across multiple sites Complex configuration and management In-memory 4.1m - - Oracle NoSQL Database Logo
Oracle NoSQL Database
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Flexible data models, Strong consistency option May require Oracle ecosystem integration Disk-based, In-memory option 13.3m - - Azure Cosmos DB Logo
Azure Cosmos DB
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Turnkey global distribution, Comprehensive SLAs Cost can be higher than alternatives Multi-models - - - Google Cloud Datastore Logo
Google Cloud Datastore
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Seamless integration with Google Cloud services, Managed service with automatic scaling, Flexible data model Limited to Google Cloud Platform, Not open source, Data model may not fit all use cases Distributed -