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DBMS > Dgraph vs. Elasticsearch vs. EsgynDB vs. Fujitsu Enterprise Postgres vs. jBASE

System Properties Comparison Dgraph vs. Elasticsearch vs. EsgynDB vs. Fujitsu Enterprise Postgres vs. jBASE

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A robust multi-value DBMS comprising development tools and middleware
Primary database modelGraph DBMSSearch engineRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitedgraph.iowww.elastic.co/­elasticsearchwww.esgyn.cnwww.postgresql.fastware.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdgraph.io/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.fastware.com/­product-manualsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDgraph Labs, Inc.ElasticEsgynPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRocket Software (formerly Zumasys)
Initial release2016201020151991
Current release8.6, January 2023Fujitsu Enterprise Postgres 14, January 20225.7
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic Licensecommercialcommercialcommercial
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 languageGoJavaC++, JavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nononoyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresuser defined functionsyes
Triggersnoyes infoby using the 'percolation' featurenoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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.Memcached and Redis integrationnoyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
DgraphElasticsearchEsgynDBFujitsu Enterprise PostgresjBASE
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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DgraphElasticsearchEsgynDBFujitsu Enterprise PostgresjBASE
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