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DBMS > Drizzle vs. HBase vs. KeyDB vs. Trafodion

System Properties Comparison Drizzle vs. HBase vs. KeyDB vs. Trafodion

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonKeyDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTableAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSWide column storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitehbase.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
trafodion.apache.org
Technical documentationhbase.apache.org/­book.htmldocs.keydb.devtrafodion.apache.org/­documentation.html
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetEQ Alpha Technology Ltd.Apache Software Foundation, originally developed by HP
Initial release2008200820192014
Current release7.2.4, September 20122.3.4, January 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache version 2Open Source infoBSD-3Open Source infoApache 2.0
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++JavaC++C++, Java
Server operating systemsFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
LinuxLinux
Data schemeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonono
Secondary indexesyesnoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaLuaJava Stored Procedures
Triggersno infohooks for callbacks inside the server can be used.yesnono
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
Multi-source replication
Source-replica replication
Multi-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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)Optimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
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, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
DrizzleHBaseKeyDBTrafodion
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