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DBMS > BigObject vs. Dgraph vs. Fujitsu Enterprise Postgres vs. H2 vs. TerarkDB

System Properties Comparison BigObject vs. Dgraph vs. Fujitsu Enterprise Postgres vs. H2 vs. TerarkDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDgraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDistributed and scalable native Graph DBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebigobject.iodgraph.iowww.postgresql.fastware.comwww.h2database.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.bigobject.iodgraph.io/­docswww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBigObject, Inc.Dgraph Labs, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas MuellerByteDance, originally Terark
Initial release2015201620052016
Current releaseFujitsu Enterprise Postgres 14, January 20222.2.220, July 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial inforestricted open source version 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 languageGoCJavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Linux
Windows
All OS with a Java VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
C++ API
Java API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC++
Java
Server-side scripts infoStored proceduresLuanouser defined functionsJava Stored Procedures and User-Defined Functionsno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyespartitioning by range, list and by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlnono infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
BigObjectDgraphFujitsu Enterprise PostgresH2TerarkDB
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