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DBMS > Databricks vs. SAP HANA vs. Titan vs. UniData,UniVerse vs. Valentina Server

System Properties Comparison Databricks vs. SAP HANA vs. Titan vs. UniData,UniVerse vs. Valentina Server

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSAP HANA  Xexclude from comparisonTitan  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonValentina Server  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.In-memory, column based data store. Available as appliance or cloud serviceTitan is a Graph DBMS optimized for distributed clusters.MultiValue database and application server with SQL mapping layer and meta database capabilitiesObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSMultivalue DBMSRelational 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.databricks.comwww.sap.com/­products/­hana.htmlgithub.com/­thinkaurelius/­titanwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawww.valentina-db.net
Technical documentationdocs.databricks.comhelp.sap.com/­hanagithub.com/­thinkaurelius/­titan/­wikidocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatavalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDatabricksSAPAurelius, owned by DataStaxRocket SoftwareParadigma Software
Initial release20132010201219851999
Current release2.0 SPS07 (April 4, 2023), April 20235.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno infoalso available as a cloud based servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedAppliance or cloud-serviceLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
ODBC
Supported programming languagesPython
R
Scala
Clojure
Java
Python
.Net
Basic infoU2 Basic
C
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesSQLScript, Ryesyesyes
Triggersyesyesyes infoU2 Basicyes
Partitioning methods infoMethods for storing different data on different nodesyesyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesUser authentification and security via Rexster Graph ServerAccess rights according to SQL-standard and operating system basedfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksSAP HANATitanUniData,UniVerseValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksSAP HANATitanUniData,UniVerseValentina Server
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