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DBMS > Cubrid vs. ITTIA vs. Milvus vs. OpenSearch

System Properties Comparison Cubrid vs. ITTIA vs. Milvus vs. OpenSearch

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonITTIA  Xexclude from comparisonMilvus  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEdge Time Series DBMS with Real-Time Stream ProcessingA DBMS designed for efficient storage of vector data and vector similarity searchesA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSVector DBMSSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
www.ittia.commilvus.iogithub.com/­opensearch-project
opensearch.org
Technical documentationcubrid.org/­manualsmilvus.io/­docs/­overview.mdopensearch.org/­docs/­latest
DeveloperCUBRID Corporation, CUBRID FoundationITTIA L.L.C.Amazon Web Services
Initial release2008200720192021
Current release11.0, January 20218.72.4.4, May 20242.5.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open 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 MilvusSTACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC, C++, JavaC and C++C++, GoJava
Server operating systemsLinux
Windows
Linux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VM
Data schemeyesFixed schemaschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/IntervalVector, Numeric and Stringyes
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.nonono
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresJava Stored Proceduresyesnoyes
Triggersyesnonoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDatabase file passwordsRole based access control and fine grained access rights
More information provided by the system vendor
CubridITTIAMilvusOpenSearch
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» 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
The OpenSearch Project offers open source software licensed under Apache License...
» more

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CubridITTIAMilvusOpenSearch
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