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DBMS > Drizzle vs. Kinetica vs. PostGIS vs. ReductStore

System Properties Comparison Drizzle vs. Kinetica vs. PostGIS vs. ReductStore

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonPostGIS  Xexclude from comparisonReductStore  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsSpatial extension of PostgreSQLDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSRelational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.kinetica.compostgis.netgithub.com/­reductstore
www.reduct.store
Technical documentationdocs.kinetica.compostgis.net/­documentationwww.reduct.store/­docs
DeveloperDrizzle project, originally started by Brian AkerKineticaReductStore LLC
Initial release2008201220052023
Current release7.2.4, September 20127.1, August 20213.4.2, February 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL v2.0Open Source infoBusiness Source License 1.1
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 languageC++C, C++CC++, Rust
Server operating systemsFreeBSD
Linux
OS X
LinuxDocker
Linux
macOS
Windows
Data schemeyesyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
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.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelyes infobased on PostgreSQL

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More resources
DrizzleKineticaPostGISReductStore
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