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DBMS > Databricks vs. StarRocks vs. Tigris

System Properties Comparison Databricks vs. StarRocks vs. Tigris

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonStarRocks  Xexclude from comparisonTigris  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 horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.75
Rank#218  Overall
#101  Relational DBMS
Score0.04
Rank#360  Overall
#49  Document stores
#53  Key-value stores
#23  Search engines
#38  Time Series DBMS
Websitewww.databricks.comwww.starrocks.iowww.tigrisdata.com
Technical documentationdocs.databricks.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introwww.tigrisdata.com/­docs
DeveloperDatabricksThe Linux Foundation infosince Feb 2023Tigris Data, Inc.
Initial release201320202022
Current release3.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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++, Java
Server operating systemshostedLinuxLinux
macOS
Windows
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 SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesPython
R
Scala
JavaGo
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users and roles
More information provided by the system vendor
DatabricksStarRocksTigris
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksStarRocksTigris
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