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DBMS > Databricks vs. StarRocks vs. Teradata

System Properties Comparison Databricks vs. StarRocks vs. Teradata

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonStarRocks  Xexclude from comparisonTeradata  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 hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.databricks.comwww.starrocks.iowww.teradata.com
Technical documentationdocs.databricks.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introdocs.teradata.com
DeveloperDatabricksThe Linux Foundation infosince Feb 2023Teradata
Initial release201320201984
Current release2.5.3, March 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
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 systemshostedLinuxhosted
Linux
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.yesnoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
JavaC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range and hash)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
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 integritynoyes
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
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 rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksStarRocksTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksStarRocksTeradata
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