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DBMS > Blueflood vs. Databricks vs. StarRocks

System Properties Comparison Blueflood vs. Databricks vs. StarRocks

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraThe 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 Doris
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteblueflood.iowww.databricks.comwww.starrocks.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperRackspaceDatabricksThe Linux Foundation infosince Feb 2023
Initial release201320132020
Current release2.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemsLinux
OS X
hostedLinux
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)yes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLyes
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
Supported programming languagesPython
R
Scala
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 controlnoRole based access control and fine grained access rights
More information provided by the system vendor
BluefloodDatabricksStarRocks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BluefloodDatabricksStarRocks
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