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DBMS > HugeGraph vs. Milvus vs. SpaceTime vs. TigerGraph

System Properties Comparison HugeGraph vs. Milvus vs. SpaceTime vs. TigerGraph

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparisonSpaceTime  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesSpaceTime is a spatio-temporal DBMS with a focus on performance.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMSVector DBMSSpatial DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
milvus.iowww.mireo.com/­spacetimewww.tigergraph.com
Technical documentationhugegraph.apache.org/­docsmilvus.io/­docs/­overview.mddocs.tigergraph.com
DeveloperBaiduMireo
Initial release2018201920202017
Current release0.92.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
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++, GoC++C++
Server operating systemsLinux
macOS
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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 indexesyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLnonoA subset of ANSI SQL is implementedSQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Python
C++
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yesyesnono
User concepts infoAccess controlUsers, roles and permissionsRole based access control and fine grained access rightsyesRole-based access control
More information provided by the system vendor
HugeGraphMilvusSpaceTimeTigerGraph
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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