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DBMS > GridGain vs. InfinityDB vs. Milvus vs. TinkerGraph

System Properties Comparison GridGain vs. InfinityDB vs. Milvus vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfinityDB  Xexclude from comparisonMilvus  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Java embedded Key-Value Store which extends the Java Map interfaceA DBMS designed for efficient storage of vector data and vector similarity searchesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Key-value storeVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.gridgain.comboilerbay.commilvus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmlboilerbay.com/­infinitydb/­manualmilvus.io/­docs/­overview.md
DeveloperGridGain Systems, Inc.Boiler Bay Inc.
Initial release2007200220192009
Current releaseGridGain 8.5.14.02.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 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 languageJava, C++, .NetJavaC++, GoJava
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysVector, 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.yesnonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APITinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaC++
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
none
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoRole based access control and fine grained access rightsno
More information provided by the system vendor
GridGainInfinityDBMilvusTinkerGraph
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
GridGainInfinityDBMilvusTinkerGraph
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