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DBMS > Greenplum vs. Milvus vs. Riak TS vs. XTDB

System Properties Comparison Greenplum vs. Milvus vs. Riak TS vs. XTDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMilvus  Xexclude from comparisonRiak TS  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A 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 general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSVector DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegreenplum.orgmilvus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.greenplum.orgmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.xtdb.com/­docs
DeveloperPivotal Software Inc.Open Source, formerly Basho TechnologiesJuxt Ltd.
Initial release2005201920152019
Current release7.0.0, September 20232.4.4, May 20243.0.0, September 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoMIT License
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++, GoErlangClojure
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnoyes, extensible-data-notation format
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.yes infosince Version 4.2nonono
Secondary indexesyesnorestrictedyes
SQL infoSupport of SQLyesnoyes, limitedlimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API
Native Erlang Interface
HTTP REST
JDBC
Supported programming languagesC
Java
Perl
Python
R
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
Clojure
Java
Server-side scripts infoStored proceduresyesnoErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsno
More information provided by the system vendor
GreenplumMilvusRiak TSXTDB infoformerly named Crux
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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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
GreenplumMilvusRiak TSXTDB infoformerly named Crux
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