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DBMS > Milvus vs. OrigoDB vs. Rockset vs. TerarkDB vs. TimescaleDB

System Properties Comparison Milvus vs. OrigoDB vs. Rockset vs. TerarkDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelVector DBMSDocument store
Object oriented DBMS
Document storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitemilvus.ioorigodb.comrockset.comgithub.com/­bytedance/­terarkdbwww.timescale.com
Technical documentationmilvus.io/­docs/­overview.mdorigodb.com/­docsdocs.rockset.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.timescale.com
DeveloperRobert Friberg et alRocksetByteDance, originally TerarkTimescale
Initial release20192009 infounder the name LiveDB201920162017
Current release2.3.4, January 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercialcommercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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++, GoC#C++C++C
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and StringUser defined using .NET types and collectionsdynamic typingnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infocan be achieved using .NETno infoingestion from XML files supportednoyes
Secondary indexesnoyesall fields are automatically indexednoyes
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP RESTC++ API
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.NetGo
Java
JavaScript (Node.js)
Python
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoDomain Eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsRole based authorizationAccess rights for users and organizations can be defined via Rockset consolenofine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusOrigoDBRocksetTerarkDBTimescaleDB
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
MilvusOrigoDBRocksetTerarkDBTimescaleDB
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