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DBMS > Dgraph vs. Faircom DB vs. H2 vs. H2GIS vs. Kinetica

System Properties Comparison Dgraph vs. Faircom DB vs. H2 vs. H2GIS vs. Kinetica

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonH2  Xexclude from comparisonH2GIS  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spatial extension of H2Fully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMSKey-value store
Relational DBMS
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitedgraph.iowww.faircom.com/­products/­faircom-dbwww.h2database.comwww.h2gis.orgwww.kinetica.com
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.h2database.com/­html/­main.htmlwww.h2gis.org/­docs/­homedocs.kinetica.com
DeveloperDgraph Labs, Inc.FairCom CorporationThomas MuellerCNRSKinetica
Initial release20161979200520132012
Current releaseV12, November 20202.2.220, July 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoLGPL 3.0commercial
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 languageGoANSI C, C++JavaJavaC, C++
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VMLinux
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyesyesSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
JavaJavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes infobased on H2user defined functions
Triggersnoyesyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infobased on H2Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyesyes
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 controlno infoPlanned for future releasesFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardyes infobased on H2Access rights for users and roles on table level

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More resources
DgraphFaircom DB infoformerly c-treeACEH2H2GISKinetica
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