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DBMS > AgensGraph vs. Kinetica vs. LevelDB vs. Milvus

System Properties Comparison AgensGraph vs. Kinetica vs. LevelDB vs. Milvus

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSKey-value storeVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitebitnine.net/­agensgraphwww.kinetica.comgithub.com/­google/­leveldbmilvus.io
Technical documentationbitnine.net/­documentationdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmilvus.io/­docs/­overview.md
DeveloperBitnine Global Inc.KineticaGoogle
Initial release2016201220112019
Current release2.1, December 20187.1, August 20211.23, February 20212.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoBSDOpen 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 languageCC, C++C++C++, Go
Server operating systemsLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, 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 indexesyesyesnono
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoRole based access control and fine grained access rights
More information provided by the system vendor
AgensGraphKineticaLevelDBMilvus
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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AgensGraphKineticaLevelDBMilvus
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