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DBMS > Drizzle vs. HBase vs. IRONdb vs. Realm

System Properties Comparison Drizzle vs. HBase vs. IRONdb vs. Realm

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonIRONdb  Xexclude from comparisonRealm  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.IRONdb seems to be discontinued. 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 BigTableA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSWide column storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Websitehbase.apache.orgwww.circonus.com/solutions/time-series-database/realm.io
Technical documentationhbase.apache.org/­book.htmldocs.circonus.com/irondb/category/getting-startedrealm.io/­docs
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetCirconus LLC.Realm, acquired by MongoDB in May 2019
Initial release2008200820172014
Current release7.2.4, September 20122.3.4, January 2021V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++
Server operating systemsFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
LinuxAndroid
Backend: server-less
iOS
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes infotext, numeric, histogramsyes
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 indexesyesnonoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HTTP API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes, in Luano inforuns within the applications so server-side scripts are unnecessary
Triggersno infohooks for callbacks inside the server can be used.yesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes infoIn-Memory realm
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyes

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More resources
DrizzleHBaseIRONdbRealm
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