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DBMS > Dgraph vs. EsgynDB vs. Fujitsu Enterprise Postgres vs. LokiJS vs. RavenDB

System Properties Comparison Dgraph vs. EsgynDB vs. Fujitsu Enterprise Postgres vs. LokiJS vs. RavenDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLokiJS  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-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.In-memory JavaScript DBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMSRelational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Websitedgraph.iowww.esgyn.cnwww.postgresql.fastware.comgithub.com/­techfort/­LokiJSravendb.net
Technical documentationdgraph.io/­docswww.postgresql.fastware.com/­product-manualstechfort.github.io/­LokiJSravendb.net/­docs
DeveloperDgraph Labs, Inc.EsgynPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHibernating Rhinos
Initial release2016201520142010
Current releaseFujitsu Enterprise Postgres 14, January 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen SourceOpen 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 languageGoC++, JavaCJavaScriptC#
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonono
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLnoyesyesnoSQL-like query language (RQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript 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 languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsView functions in JavaScriptyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingpartitioning by range, list and by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneDefault 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 integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoatomic operations within a single collection possibleACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAuthorization levels configured per client per database

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More resources
DgraphEsgynDBFujitsu Enterprise PostgresLokiJSRavenDB
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