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DBMS > Altibase vs. Cloudflare Workers KV vs. Datomic vs. Milvus

System Properties Comparison Altibase vs. Cloudflare Workers KV vs. Datomic vs. Milvus

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitealtibase.comwww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.commilvus.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdevelopers.cloudflare.com/­kv/­apidocs.datomic.commilvus.io/­docs/­overview.md
DeveloperAltibaseCloudflareCognitect
Initial release1999201820122019
Current releasev7.3, 2023, August 20231.0.6735, June 20232.3.4, January 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercial infolimited edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++Java, ClojureC++, Go
Server operating systemsAIX
HP-UX
Linux
hostedAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesVector, Numeric and String
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI SQL-92nonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP REST
Proprietary protocol
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C++
Java
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infoTransaction Functionsno
TriggersyesnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
AltibaseCloudflare Workers KVDatomicMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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AltibaseCloudflare Workers KVDatomicMilvus
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