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DBMS > AgensGraph vs. Apache IoTDB vs. H2 vs. Milvus

System Properties Comparison AgensGraph vs. Apache IoTDB vs. H2 vs. Milvus

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial 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
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitebitnine.net/­agensgraphiotdb.apache.orgwww.h2database.commilvus.io
Technical documentationbitnine.net/­documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2database.com/­html/­main.htmlmilvus.io/­docs/­overview.md
DeveloperBitnine Global Inc.Apache Software FoundationThomas Mueller
Initial release2016201820052019
Current release2.1, December 20181.1.0, April 20232.2.220, July 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open 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 languageCJavaJavaC++, Go
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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 indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsCypher Query Language
JDBC
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Java
Python
Scala
JavaC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesJava Stored Procedures and User-Defined Functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
AgensGraphApache IoTDBH2Milvus
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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AgensGraphApache IoTDBH2Milvus
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