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DBMS > OpenEdge vs. Postgres-XL vs. Spark SQL vs. Sphinx vs. Vitess

System Properties Comparison OpenEdge vs. Postgres-XL vs. Spark SQL vs. Sphinx vs. Vitess

Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.progress.com/­openedgewww.postgres-xl.orgspark.apache.org/­sqlsphinxsearch.comvitess.io
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsvitess.io/­docs
DeveloperProgress Software CorporationApache Software FoundationSphinx Technologies Inc.The Linux Foundation, PlanetScale
Initial release19842014 infosince 2012, originally named StormDB201420012013
Current releaseOpenEdge 12.2, March 202010 R1, October 20183.5.0 ( 2.13), September 20233.5.1, February 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0, commercial licenses available
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 languageCScalaC++Go
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infodistributed, parallel query executionSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesProgress proprietary ABL (Advanced Business Language).Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsnonoyes infoproprietary syntax
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4horizontal partitioningyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardnonoUsers with fine-grained authorization concept infono user groups or roles

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More resources
OpenEdgePostgres-XLSpark SQLSphinxVitess
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