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DBMS > Drizzle vs. HarperDB vs. HBase vs. Tkrzw

System Properties Comparison Drizzle vs. HarperDB vs. HBase vs. Tkrzw

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Wide-column store based on Apache Hadoop and on concepts of BigTableA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument storeWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.harperdb.iohbase.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.harperdb.io/­docshbase.apache.org/­book.html
DeveloperDrizzle project, originally started by Brian AkerHarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetMikio Hirabayashi
Initial release2008201720082020
Current release7.2.4, September 20123.1, August 20212.3.4, January 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree community edition availableOpen Source infoApache version 2Open Source infoApache Version 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++Node.jsJavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Data schemeyesdynamic schemaschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptions to bring your own types, AVROno
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 indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like data manipulation statementsnono
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infoCoprocessors in Javano
Triggersno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
DrizzleHarperDBHBaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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