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DBMS > AgensGraph vs. Graph Engine vs. InfinityDB vs. Milvus

System Properties Comparison AgensGraph vs. Graph Engine vs. InfinityDB vs. Milvus

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfinityDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Java embedded Key-Value Store which extends the Java Map interfaceA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
Key-value store
Key-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitebitnine.net/­agensgraphwww.graphengine.ioboilerbay.commilvus.io
Technical documentationbitnine.net/­documentationwww.graphengine.io/­docs/­manualboilerbay.com/­infinitydb/­manualmilvus.io/­docs/­overview.md
DeveloperBitnine Global Inc.MicrosoftBoiler Bay Inc.
Initial release2016201020022019
Current release2.1, December 20184.02.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT LicensecommercialOpen 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 Milvus
Implementation languageC.NET and CJavaC++, Go
Server operating systemsLinux
OS X
Windows
.NETAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemedepending on used data modelyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysVector, Numeric and String
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.nononono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLyesnonono
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C#
C++
F#
Visual Basic
JavaC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
AgensGraphGraph Engine infoformer name: TrinityInfinityDBMilvus
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
AgensGraphGraph Engine infoformer name: TrinityInfinityDBMilvus
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