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DBMS > Dolt vs. OpenEdge vs. Spark SQL vs. TimesTen vs. Trafodion

System Properties Comparison Dolt vs. OpenEdge vs. Spark SQL vs. TimesTen vs. Trafodion

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to OracleTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.progress.com/­openedgespark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.htmltrafodion.apache.org
Technical documentationdocs.dolthub.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1trafodion.apache.org/­documentation.html
DeveloperDoltHub IncProgress Software CorporationApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Apache Software Foundation, originally developed by HP
Initial release20181984201419982014
Current releaseOpenEdge 12.2, March 20203.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)2.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaC++, Java
Server operating systemsLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infoclose to SQL 92SQL-like DML and DDL statementsyesyes
APIs and other access methodsCLI Client
HTTP REST
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
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
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C
C++
Java
PL/SQL
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyesnoPL/SQLJava Stored Procedures
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4yes, utilizing Spark CorenoneSharding
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.Source-replica replicationnoneMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupUsers and groupsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DoltOpenEdgeSpark SQLTimesTenTrafodion
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