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DBMS > GridGain vs. Milvus vs. OrigoDB vs. PouchDB vs. STSdb

System Properties Comparison GridGain vs. Milvus vs. OrigoDB vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value store
Relational DBMS
Vector DBMSDocument store
Object oriented DBMS
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score1.70
Rank#150  Overall
#5  Vector DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Score0.13
Rank#344  Overall
#51  Key-value stores
Websitewww.gridgain.commilvus.ioorigodb.compouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.gridgain.com/­docs/­index.htmlmilvus.io/­docs/­overview.mdorigodb.com/­docspouchdb.com/­guides
DeveloperGridGain Systems, Inc.Robert Friberg et alApache Software FoundationSTS Soft SC
Initial release200720192009 infounder the name LiveDB20122011
Current releaseGridGain 8.5.12.3.4, January 20247.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageJava, C++, .NetC++, GoC#JavaScriptC#
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringUser defined using .NET types and collectionsnoyes infoprimitive types and user defined types (classes)
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.yesnono infocan be achieved using .NETno
Secondary indexesyesnoyesyes infovia viewsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnononono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.NetJavaScriptC#
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesView functions in JavaScriptno
Triggersyes (cache interceptors and events)noyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyesno
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 integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole based access control and fine grained access rightsRole based authorizationnono
More information provided by the system vendor
GridGainMilvusOrigoDBPouchDBSTSdb
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
GridGainMilvusOrigoDBPouchDBSTSdb
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