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DBMS > Databricks vs. PostGIS vs. Rockset vs. SiteWhere

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonRockset  Xexclude from comparisonSiteWhere  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.Spatial extension of PostgreSQLA scalable, reliable search and analytics service in the cloud, built on RocksDBM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Relational DBMS
Spatial DBMSDocument storeTime Series DBMS
Secondary database modelsRelational 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
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.databricks.compostgis.netrockset.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.rockset.comsitewhere1.sitewhere.io/­index.html
DeveloperDatabricksRocksetSiteWhere
Initial release2013200520192010
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesdynamic typingyes
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.yesyesno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLwith Databricks SQLyesRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP REST
Supported programming languagesPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLAutomatic shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 controlyes infobased on PostgreSQLAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksPostGISRocksetSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISRocksetSiteWhere
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