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DBMS > Apache Phoenix vs. Milvus vs. Riak TS vs. Rockset vs. SWC-DB

System Properties Comparison Apache Phoenix vs. Milvus vs. Riak TS vs. Rockset vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMilvus  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA DBMS designed for efficient storage of vector data and vector similarity searchesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDBA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSVector DBMSTime Series DBMSDocument storeWide column store
Secondary database modelsRelational DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitephoenix.apache.orgmilvus.iorockset.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationphoenix.apache.orgmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.com
DeveloperApache Software FoundationOpen Source, formerly Basho TechnologiesRocksetAlex Kashirin
Initial release20142019201520192020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.4.4, May 20243.0.0, September 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoErlangC++C++
Server operating systemsLinux
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
hostedLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnodynamic typing
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 infoingestion from XML files supportedno
Secondary indexesyesnorestrictedall fields are automatically indexed
SQL infoSupport of SQLyesnoyes, limitedRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsJDBCRESTful HTTP APIHTTP API
Native Erlang Interface
HTTP RESTProprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresuser defined functionsnoErlangnono
Triggersnonoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole based access control and fine grained access rightsnoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Apache PhoenixMilvusRiak TSRocksetSWC-DB infoSuper Wide Column Database
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
Apache PhoenixMilvusRiak TSRocksetSWC-DB infoSuper Wide Column Database
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