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DBMS > Dgraph vs. EsgynDB vs. HBase vs. Microsoft Azure Table Storage vs. NuoDB

System Properties Comparison Dgraph vs. EsgynDB vs. HBase vs. Microsoft Azure Table Storage vs. NuoDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMSRelational DBMSWide column storeWide column storeRelational 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
Score31.25
Rank#26  Overall
#2  Wide column stores
Score4.92
Rank#73  Overall
#6  Wide column stores
Score0.99
Rank#195  Overall
#92  Relational DBMS
Websitedgraph.iowww.esgyn.cnhbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdgraph.io/­docshbase.apache.org/­book.htmldoc.nuodb.com
DeveloperDgraph Labs, Inc.EsgynApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftDassault Systèmes infooriginally NuoDB, Inc.
Initial release20162015200820122013
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2commercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJavaC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Unix
Windows infousing Cygwin
hostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in JavanoJava, SQL
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding infoImplicit feature of the cloud servicedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)optimistic lockingACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
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.noyesnoyes infoTemporary table
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights based on private key authentication or shared access signaturesStandard SQL roles/ privileges, Administrative Users

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More resources
DgraphEsgynDBHBaseMicrosoft Azure Table StorageNuoDB
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