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DBMS > Blueflood vs. Drizzle vs. PostGIS vs. Spark SQL

System Properties Comparison Blueflood vs. Drizzle vs. PostGIS vs. Spark SQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  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 CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iopostgis.netspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikipostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceDrizzle project, originally started by Brian AkerApache Software Foundation
Initial release2013200820052014
Current release7.2.4, September 20123.4.2, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CScala
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
Linux
OS X
Windows
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBCJDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes infobased on PostgreSQLyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes infobased on PostgreSQLnone
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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infobased on PostgreSQLno

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More resources
BluefloodDrizzlePostGISSpark SQL
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