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DBMS > Drizzle vs. Hazelcast vs. PlanetScale vs. Trafodion

System Properties Comparison Drizzle vs. Hazelcast vs. PlanetScale vs. Trafodion

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHazelcast  Xexclude from comparisonPlanetScale  Xexclude from comparisonTrafodion  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.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted in-memory data gridScalable, distributed, serverless MySQL database platform built on top of VitessTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitehazelcast.complanetscale.comtrafodion.apache.org
Technical documentationhazelcast.org/­imdg/­docsplanetscale.com/­docstrafodion.apache.org/­documentation.html
DeveloperDrizzle project, originally started by Brian AkerHazelcastPlanetScaleApache Software Foundation, originally developed by HP
Initial release2008200820202014
Current release7.2.4, September 20125.3.6, November 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoC++, Java
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMDocker
Linux
macOS
Linux
Data schemeyesschema-freeyesyes
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes infoproprietary syntaxJava Stored Procedures
Triggersno infohooks for callbacks inside the server can be used.yes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoReplicated MapMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID at shard levelACID
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.yesyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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DrizzleHazelcastPlanetScaleTrafodion
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