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DBMS > Databricks vs. StarRocks vs. Typesense

System Properties Comparison Databricks vs. StarRocks vs. Typesense

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonStarRocks  Xexclude from comparisonTypesense  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.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Relational DBMS
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitewww.databricks.comwww.starrocks.iotypesense.org
Technical documentationdocs.databricks.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introtypesense.org/­docs
DeveloperDatabricksThe Linux Foundation infosince Feb 2023
Initial release201320202015
Current release2.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++
Server operating systemshostedLinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infopre-defined schema optional
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
RESTful HTTP API
Supported programming languagesPython
R
Scala
Java.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.nonoyes
User concepts infoAccess controlRole based access control and fine grained access rights
More information provided by the system vendor
DatabricksStarRocksTypesense
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksStarRocksTypesense
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