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DBMS > Databricks vs. ObjectBox vs. PostGIS vs. Rockset

System Properties Comparison Databricks vs. ObjectBox vs. PostGIS vs. Rockset

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonObjectBox  Xexclude from comparisonPostGIS  Xexclude from comparisonRockset  Xexclude from comparison
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.Extremely fast embedded database for small devices, IoT and MobileSpatial extension of PostgreSQLA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Relational DBMS
Object oriented DBMSSpatial DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.databricks.comobjectbox.iopostgis.netrockset.com
Technical documentationdocs.databricks.comdocs.objectbox.iopostgis.net/­documentationdocs.rockset.com
DeveloperDatabricksObjectBox LimitedRockset
Initial release2013201720052019
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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.yesnoyesno infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLnoyesRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary native APIHTTP REST
Supported programming languagesPython
R
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infobased on PostgreSQLAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serveryes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyesyes infobased on PostgreSQLAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DatabricksObjectBoxPostGISRockset
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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