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DBMS > HBase vs. IRONdb vs. jBASE vs. Quasardb

System Properties Comparison HBase vs. IRONdb vs. jBASE vs. Quasardb

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIRONdb  Xexclude from comparisonjBASE  Xexclude from comparisonQuasardb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-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 robust multi-value DBMS comprising development tools and middlewareDistributed, high-performance timeseries database
Primary database modelWide column storeTime Series DBMSMultivalue DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitehbase.apache.orgwww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasequasar.ai
Technical documentationhbase.apache.org/­book.htmldocs.circonus.com/irondb/category/getting-starteddocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9doc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetCirconus LLC.Rocket Software (formerly Zumasys)quasardb
Initial release2008201719912009
Current release2.3.4, January 2021V0.10.20, January 20185.73.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaC and C++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxAIX
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infotext, numeric, histogramsoptionalyes infointeger and binary
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.nonoyesno
Secondary indexesnonoyes infowith tags
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)Embedded SQL for jBASE in BASICSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
Supported programming languagesC
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
Basic
Jabbascript
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes, in Luayesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights can be defined down to the item levelCryptographically strong user authentication and audit trail

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More resources
HBaseIRONdbjBASEQuasardb
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