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DBMS > Altibase vs. Firebase Realtime Database vs. HBase vs. Hypertable vs. IRONdb

System Properties Comparison Altibase vs. Firebase Realtime Database vs. HBase vs. Hypertable vs. IRONdb

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn enterprise grade, high-performance RDBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSDocument storeWide column storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitealtibase.comfirebase.google.com/­products/­realtime-databasehbase.apache.orgwww.circonus.com/solutions/time-series-database/
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmldocs.circonus.com/irondb/category/getting-started
DeveloperAltibaseGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.Circonus LLC.
Initial release19992012200820092017
Current releasev7.3, 2023, August 20232.3.4, January 20210.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C and C++
Server operating systemsAIX
HP-UX
Linux
hostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROnoyes infotext, numeric, histograms
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.nononono
Secondary indexesyesyesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLANSI SQL-92nononoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
C++ API
Thrift
HTTP API
Supported programming languagesC
C++
Java
Java
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionslimited functionality with using 'rules'yes infoCoprocessors in Javanoyes, in Lua
TriggersyesCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor on file system levelconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
AltibaseFirebase Realtime DatabaseHBaseHypertableIRONdb
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