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DBMS > SAP HANA vs. Splice Machine vs. Ultipa

System Properties Comparison SAP HANA vs. Splice Machine vs. Ultipa

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Editorial information provided by DB-Engines
NameSAP HANA  Xexclude from comparisonSplice Machine  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionIn-memory, column based data store. Available as appliance or cloud serviceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.sap.com/­products/­hana.htmlsplicemachine.comwww.ultipa.com
Technical documentationhelp.sap.com/­hanasplicemachine.com/­how-it-workswww.ultipa.com/­document
DeveloperSAPSplice MachineUltipa
Initial release201020142019
Current release2.0 SPS07 (AprilĀ 4, 2023), April 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceno infoalso available as a cloud based servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAppliance or cloud-serviceLinux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresSQLScript, Ryes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standard

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More resources
SAP HANASplice MachineUltipa
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