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

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

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSpaceTime  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemSpaceTime is a spatio-temporal DBMS with a focus on performance.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Object oriented DBMS
Time Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteorigodb.comprometheus.iowww.mireo.com/­spacetimesplicemachine.com
Technical documentationorigodb.com/­docsprometheus.io/­docssplicemachine.com/­how-it-works
DeveloperRobert Friberg et alMireoSplice Machine
Initial release2009 infounder the name LiveDB201520202014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#GoC++Java
Server operating systemsLinux
Windows
Linux
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsNumeric data onlyyesyes
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.no infocan be achieved using .NETno infoImport of XML data possibleno
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implementedyes
APIs and other access methods.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyes infoJava
Triggersyes infoDomain Eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingFixed-grid hypercubesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby FederationReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRole based authorizationnoyesAccess rights for users, groups and roles according to SQL-standard

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More resources
OrigoDBPrometheusSpaceTimeSplice Machine
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