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DBMS > EXASOL vs. HugeGraph vs. JaguarDB vs. Milvus

System Properties Comparison EXASOL vs. HugeGraph vs. JaguarDB vs. Milvus

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSGraph DBMSKey-value store
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.exasol.comgithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.commilvus.io
Technical documentationwww.exasol.com/­resourceshugegraph.apache.org/­docswww.jaguardb.com/­support.htmlmilvus.io/­docs/­overview.md
DeveloperExasolBaiduDataJaguar, Inc.
Initial release2000201820152019
Current release0.93.3 July 20232.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V3.0Open 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 languageJavaC++ infothe server part. Clients available in other languagesC++, Go
Server operating systemsLinux
macOS
Unix
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyes
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 indexesyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
Groovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionsrights management via user accountsRole based access control and fine grained access rights
More information provided by the system vendor
EXASOLHugeGraphJaguarDBMilvus
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...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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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EXASOLHugeGraphJaguarDBMilvus
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