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DBMS > Blueflood vs. chDB vs. Drizzle vs. StarRocks

System Properties Comparison Blueflood vs. chDB vs. Drizzle vs. StarRocks

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonchDB  Xexclude from comparisonDrizzle  Xexclude from comparisonStarRocks  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraAn embedded SQL OLAP Engine powered by ClickHouseMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteblueflood.iogithub.com/­chdb-io/­chdbwww.starrocks.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidoc.chdb.iodocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperRackspaceDrizzle project, originally started by Brian AkerThe Linux Foundation infosince Feb 2023
Initial release2013202320082020
Current release7.2.4, September 20123.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, Java
Server operating systemsLinux
OS X
server-lessFreeBSD
Linux
OS X
Linux
Data schemepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)yes infowith proprietary extensionsyes
APIs and other access methodsHTTP RESTJDBCJDBC
MySQL protocol
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
Java
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesno
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.nono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole based access control and fine grained access rights

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More resources
BluefloodchDBDrizzleStarRocks
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