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DBMS > Databricks vs. SiteWhere vs. StarRocks

System Properties Comparison Databricks vs. SiteWhere vs. StarRocks

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSiteWhere  Xexclude from comparisonStarRocks  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.M2M integration platform for persisting/querying time series dataAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.databricks.comgithub.com/­sitewhere/­sitewherewww.starrocks.io
Technical documentationdocs.databricks.comsitewhere1.sitewhere.io/­index.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDatabricksSiteWhereThe Linux Foundation infosince Feb 2023
Initial release201320102020
Current release2.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemshostedLinux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)predefined schemeyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
MySQL protocol
Supported programming languagesPython
R
Scala
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization conceptRole based access control and fine grained access rights
More information provided by the system vendor
DatabricksSiteWhereStarRocks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksSiteWhereStarRocks
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