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DBMS > EXASOL vs. OrigoDB vs. Prometheus vs. Splice Machine

System Properties Comparison EXASOL vs. OrigoDB vs. Prometheus vs. Splice Machine

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.exasol.comorigodb.comprometheus.iosplicemachine.com
Technical documentationwww.exasol.com/­resourcesorigodb.com/­docsprometheus.io/­docssplicemachine.com/­how-it-works
DeveloperExasolRobert Friberg et alSplice Machine
Initial release20002009 infounder the name LiveDB20152014
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoJava
Server operating systemsLinux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsNumeric data onlyyes
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.nono infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Lua
Python
R
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoJava
Triggersyesyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole based authorizationnoAccess rights for users, groups and roles according to SQL-standard

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More resources
EXASOLOrigoDBPrometheusSplice Machine
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