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DBMS > HugeGraph vs. Kinetica

System Properties Comparison HugeGraph vs. Kinetica

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Our visitors often compare HugeGraph and Kinetica with Neo4j, TigerGraph and GraphDB.

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#310  Overall
#30  Graph DBMS
Score0.72
Rank#201  Overall
#99  Relational DBMS
Websitegithub.com/­hugegraphwww.kinetica.com
Technical documentationhugegraph.github.io/­hugegraph-docwww.kinetica.com/­docs
DeveloperBaiduKinetica
Initial release20182012
Current release0.96.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsLinux
macOS
Unix
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and roles on table level

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More resources
HugeGraphKinetica
Recent citations in the news

GPU Database Market Report 2020 Highlights On Future Development: Top Key players are- Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt
3 December 2020, Murphy's Hockey Law

Global GPU Database Market By Top Key Players- GPU Database are: Kinetica Blazegraph Neo4j Omnisci Jedox Sqream Zilliz Brytlyt Nvidia Blazingdb Graphistry Heterodb Anaconda Fuzzy Logix H2o.Ai Fastdata.Io
3 December 2020, Daily Research Correspondent

Global GPU Database Market 2020 Growth Analysis and Massive Trends by Premium-Insight Players:- Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB, Zilliz, SQream, Jedox, HeteroDB, Blazegraph, H2O.ai, FASTDATA.io, Fuzzy Logix, Graphistry
2 December 2020, Canaan Mountain Herald

Global GPU Database Market Expected to Reach Highest CAGR By 2026: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
29 November 2020, The Haitian-Caribbean News Network

GPU Database Market Competitive Analysis And Forecast (2020 – 2025)|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox
1 December 2020, The Haitian-Caribbean News Network

provided by Google News

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Solutions Engineer (Pre-Sales)
Kinetica DB, Chicago, IL

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