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DBMS > OpenEdge vs. Oracle Rdb vs. SiteWhere vs. Solr vs. Splice Machine

System Properties Comparison OpenEdge vs. Oracle Rdb vs. SiteWhere vs. Solr vs. Splice Machine

Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemM2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache LuceneOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­rdb.htmlgithub.com/­sitewhere/­sitewheresolr.apache.orgsplicemachine.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.htmlsplicemachine.com/­how-it-works
DeveloperProgress Software CorporationOracle, originally developed by Digital Equipment Corporation (DEC)SiteWhereApache Software FoundationSplice Machine
Initial release19841984201020062014
Current releaseOpenEdge 12.2, March 20207.4.1.1, 20219.6.0, April 20243.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2Open Source infoAGPL 3.0, commercial license 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 languageJavaJavaJava
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
HP Open VMSLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)predefined schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.yesnonoyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infoclose to SQL 92yesnoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesProgress proprietary ABL (Advanced Business Language).Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesJava pluginsyes infoJava
Triggersyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4Sharding infobased on HBaseShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyesyes
User concepts infoAccess controlUsers and groupsUsers with fine-grained authorization conceptyesAccess rights for users, groups and roles according to SQL-standard

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More resources
OpenEdgeOracle RdbSiteWhereSolrSplice Machine
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