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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. OpenQM

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. OpenQM

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
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.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelGraph DBMSRelational DBMSWide column storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.71
Rank#131  Overall
#11  Graph DBMS
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score3.58
Rank#88  Overall
#7  Wide column stores
Score0.41
Rank#250  Overall
#10  Multivalue DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.openqm.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docswww.openqm.com/­support/­documentation
DeveloperDgraph Labs, Inc.EsgynGoogleMartin Phillips
Initial release2016201520151993
Current release3.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, Java
Server operating systemsLinux
OS X
Windows
LinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyesnono
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)
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
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes
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 zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
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
Foreign keys infoReferential integritynoyesnono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 can be defined down to the item level
More information provided by the system vendor
DgraphEsgynDBGoogle Cloud BigtableOpenQM infoalso called QM
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
DgraphEsgynDBGoogle Cloud BigtableOpenQM infoalso called QM
Recent citations in the news

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

Dgraph jumps to the top of GitHub’s graph database with 11 G2 badges and 11 million downloads
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