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DBMS > Dolt vs. EsgynDB vs. HBase vs. Microsoft Azure SQL Database vs. Transwarp ArgoDB

System Properties Comparison Dolt vs. EsgynDB vs. HBase vs. Microsoft Azure SQL Database vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering with high compatibility to Microsoft SQL ServerDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.esgyn.cnhbase.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.dolthub.comhbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDoltHub IncEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftTranswarp
Initial release2018201520082010
Current release2.3.4, January 2021V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2commercialcommercial
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
macOS
Windows
LinuxLinux
Unix
Windows infousing Cygwin
hosted
Data schemeyesyesschema-free, schema definition possibleyesyes
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.nononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesnoyesyes
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseJava Stored Proceduresyes infoCoprocessors in JavaTransact SQL
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication between multi datacentersMulti-source replication
Source-replica replication
yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
DoltEsgynDBHBaseMicrosoft Azure SQL Database infoformerly SQL AzureTranswarp ArgoDB
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