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DBMS > Drizzle vs. GeoSpock vs. Hazelcast vs. Riak TS vs. Yaacomo

System Properties Comparison Drizzle vs. GeoSpock vs. Hazelcast vs. Riak TS vs. Yaacomo

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonRiak TS  Xexclude from comparisonYaacomo  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed 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 scaleA widely adopted in-memory data gridRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitegeospock.comhazelcast.comyaacomo.com
Technical documentationhazelcast.org/­imdg/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperDrizzle project, originally started by Brian AkerGeoSpockHazelcastOpen Source, formerly Basho TechnologiesQ2WEB GmbH
Initial release2008200820152009
Current release7.2.4, September 20122.0, September 20195.3.6, November 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptJavaErlang
Server operating systemsFreeBSD
Linux
OS X
hostedAll OS with a Java VMLinux
OS X
Android
Linux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infothe object must implement a serialization strategynono
Secondary indexesyestemporal, categoricalyesrestrictedyes
SQL infoSupport of SQLyes infowith proprietary extensionsANSI SQL for query only (using Presto)SQL-like query languageyes, limitedyes
APIs and other access methodsJDBCJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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 infoEvent Listeners, Executor ServicesErlang
Triggersno infohooks for callbacks inside the server can be used.noyes infoEventsyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoReplicated Mapselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tableRole-based access controlnofine grained access rights according to SQL-standard

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More resources
DrizzleGeoSpockHazelcastRiak TSYaacomo
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