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DBMS > Databricks vs. DataFS vs. GeoSpock vs. Lovefield vs. TimesTen

System Properties Comparison Databricks vs. DataFS vs. GeoSpock vs. Lovefield vs. TimesTen

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDataFS  Xexclude from comparisonGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Spatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSTime Series 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
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.databricks.comnewdatabase.comgeospock.comgoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.databricks.comdev.mobiland.com/­Overview.xspgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­database/­timesten-18.1
DeveloperDatabricksMobiland AGGeoSpockGoogleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2013201820141998
Current release1.1.263, October 20222.0, September 20192.1.12, February 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScript
Server operating systemshostedWindowshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnononono
Secondary indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLwith Databricks SQLnoANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
JDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
VB.Net
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoPL/SQL
Triggersno, except callback-events from server when changes happenednoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing MemoryDByes
User concepts infoAccess controlWindows-ProfileAccess rights for users can be defined per tablenofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDataFSGeoSpockLovefieldTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDataFSGeoSpockLovefieldTimesTen
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