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DBMS > OpenEdge vs. SiteWhere vs. Splice Machine

System Properties Comparison OpenEdge vs. SiteWhere vs. Splice Machine

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Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.progress.com/­openedgegithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestsitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperProgress Software CorporationSiteWhereSplice Machine
Initial release198420102014
Current releaseOpenEdge 12.2, March 20203.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92noyes
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesProgress proprietary ABL (Advanced Business Language)C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4Sharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers and groupsUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
OpenEdgeSiteWhereSplice Machine
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