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DBMS > eXtremeDB vs. Milvus vs. OpenSearch

System Properties Comparison eXtremeDB vs. Milvus vs. OpenSearch

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonMilvus  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA 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 DBMS
Time Series DBMS
Vector DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Websitewww.mcobject.commilvus.iogithub.com/­opensearch-project
opensearch.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmmilvus.io/­docs/­overview.mdopensearch.org/­docs/­latest
DeveloperMcObjectAmazon Web Services
Initial release200120192021
Current release8.2, 20212.4.4, May 20242.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
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 and C++C++, GoJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VM
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesVector, 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.no infosupport of XML interfaces availableno
Secondary indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoSQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresyesnoyes
Triggersyes infoby defining eventsnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based access control and fine grained access rights
More information provided by the system vendor
eXtremeDBMilvusOpenSearch
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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More resources
eXtremeDBMilvusOpenSearch
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