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DBMS > HBase vs. Milvus vs. Riak TS vs. RisingWave

System Properties Comparison HBase vs. Milvus vs. Riak TS vs. RisingWave

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMilvus  Xexclude from comparisonRiak TS  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA 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 distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelWide column storeVector DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitehbase.apache.orgmilvus.iowww.risingwave.com/­database
Technical documentationhbase.apache.org/­book.htmlmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetOpen Source, formerly Basho TechnologiesRisingWave Labs
Initial release2008201920152022
Current release2.3.4, January 20212.4.4, May 20243.0.0, September 20221.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2.0
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 languageJavaC++, GoErlangRust
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Docker
Linux
macOS
Data schemeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROVector, Numeric and StringnoStandard SQL-types and JSON
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 indexesnonorestrictedyes
SQL infoSupport of SQLnonoyes, limitedyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIHTTP API
Native Erlang Interface
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
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
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoErlangUDFs in Python or Java
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based access control and fine grained access rightsnoUsers and Roles
More information provided by the system vendor
HBaseMilvusRiak TSRisingWave
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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HBaseMilvusRiak TSRisingWave
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