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DBMS > Drizzle vs. GeoSpock vs. MySQL vs. Riak TS

System Properties Comparison Drizzle vs. GeoSpock vs. MySQL vs. Riak TS

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonMySQL  Xexclude from comparisonRiak TS  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.Spatial and temporal data processing engine for extreme data scaleWidely used open source RDBMSRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#293  Overall
#136  Relational DBMS
Score1199.40
Rank#2  Overall
#2  Relational DBMS
Score0.33
Rank#290  Overall
#21  Time Series DBMS
Websitegeospock.comwww.mysql.comriak.com/­products/­riak-ts
Technical documentationdocs.geospock.com/­Content/­Home.htmdev.mysql.com/­doc
DeveloperDrizzle project, originally started by Brian AkerGeoSpockOracle infosince 2010, originally MySQL AB, then SunBasho Technologies
Initial release200819952015
Current release7.2.4, September 20122.0, September 20198.0.31, October 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.
Implementation languageC++Java, JavascriptC and C++Erlang
Server operating systemsFreeBSD
Linux
OS X
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyestemporal, categoricalyesrestricted
SQL infoSupport of SQLyes infowith proprietary extensionsANSI SQL for query only (using Presto)yes infowith proprietary extensionsno
APIs and other access methodsJDBCJDBCADO.NET
JDBC
ODBC
Proprietary native API
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyes infoproprietary syntaxJavaScript and Erlang
Triggersno infohooks for callbacks inside the server can be used.noyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tableUsers with fine-grained authorization concept infono user groups or rolesno

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