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DBMS > HEAVY.AI vs. HugeGraph vs. jBASE vs. Kinetica vs. RavenDB

System Properties Comparison HEAVY.AI vs. HugeGraph vs. jBASE vs. Kinetica vs. RavenDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSGraph DBMSMultivalue DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comravendb.net
Technical documentationdocs.heavy.aihugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comravendb.net/­docs
DeveloperHEAVY.AI, Inc.BaiduRocket Software (formerly Zumasys)KineticaHibernating Rhinos
Initial release20162018199120122010
Current release5.10, January 20220.95.77.1, August 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaC, C++C#
Server operating systemsLinuxLinux
macOS
Unix
AIX
Linux
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesno
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.nonoyesno
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyesuser defined functionsyes
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights can be defined down to the item levelAccess rights for users and roles on table levelAuthorization levels configured per client per database

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraphjBASEKineticaRavenDB
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