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DBMS > Kinetica vs. Milvus vs. Tarantool vs. TerarkDB

System Properties Comparison Kinetica vs. Milvus vs. Tarantool vs. TerarkDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMilvus  Xexclude from comparisonTarantool  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searchesIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSVector DBMSDocument store
Key-value store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.kinetica.commilvus.iowww.tarantool.iogithub.com/­bytedance/­terarkdb
Technical documentationdocs.kinetica.commilvus.io/­docs/­overview.mdwww.tarantool.io/­en/­docbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperKineticaVKByteDance, originally Terark
Initial release2012201920082016
Current release7.1, August 20212.3.4, January 20242.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
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, C++C++, GoC and C++C++
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
macOS
Data schemeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringstring, double, decimal, uuid, integer, blob, boolean, datetimeno
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 SQLSQL-like DML and DDL statementsnoFull-featured ANSI SQL supportno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIOpen binary protocolC++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoLua, C and SQL stored proceduresno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlAccess rights for users and roles on table levelRole based access control and fine grained access rightsAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
no
More information provided by the system vendor
KineticaMilvusTarantoolTerarkDB
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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More resources
KineticaMilvusTarantoolTerarkDB
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Kinetica Delivers Real-Time Vector Similarity Search
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