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DBMS > Databricks vs. GeoMesa vs. StarRocks

System Properties Comparison Databricks vs. GeoMesa vs. StarRocks

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An 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
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.80
Rank#211  Overall
#4  Spatial DBMS
Score0.96
Rank#193  Overall
#89  Relational DBMS
Websitewww.databricks.comwww.geomesa.orgwww.starrocks.io
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDatabricksCCRi and othersThe Linux Foundation infosince Feb 2023
Initial release201320142020
Current release5.0.1, July 20243.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open 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 languageScalaC++, Java
Server operating systemshostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
Supported programming languagesPython
R
Scala
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate 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.nodepending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole based access control and fine grained access rights
More information provided by the system vendor
DatabricksGeoMesaStarRocks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeoMesaStarRocks
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14 July 2022, GlobeNewswire

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1 September 2022, Datanami

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14 July 2022, InfoWorld

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