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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. OrigoDB vs. Trafodion

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. OrigoDB vs. Trafodion

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. 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.A fully ACID in-memory object graph databaseTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtableorigodb.comtrafodion.apache.org
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsorigodb.com/­docstrafodion.apache.org/­documentation.html
DeveloperDgraph Labs, Inc.EsgynGoogleRobert Friberg et alApache Software Foundation, originally developed by HP
Initial release2016201520152009 infounder the name LiveDB2014
Current release2.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen SourceOpen Source infoApache 2.0
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++, JavaC#C++, Java
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnonoyes
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)
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
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
.NetAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoyesJava Stored Procedures
Triggersnononoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
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 zonesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infovia user defined functions and HBase
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 integritynoyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
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)Role based authorizationfine grained access rights according to SQL-standard

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More resources
DgraphEsgynDBGoogle Cloud BigtableOrigoDBTrafodion
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