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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. JSqlDb vs. Stardog

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. JSqlDb vs. Stardog

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJSqlDb  Xexclude from comparisonStardog  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.JavaScript Query Language Database, stores JavaScript objects and primitivesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Document store
Object oriented DBMS
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#164  Overall
#15  Graph DBMS
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablejsqldb.org (offline)www.stardog.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsdocs.stardog.com
DeveloperDgraph Labs, Inc.EsgynGoogleKonrad von BackstromStardog-Union
Initial release20162015201520182010
Current release0.8, December 20187.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJava
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnonoyes
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 infoImport/export of XML data possible
Secondary indexesyesyesnonoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesnonoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnofunctions in JavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
DgraphEsgynDBGoogle Cloud BigtableJSqlDbStardog
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