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DBMS > Altibase vs. Apache Doris vs. Firebase Realtime Database vs. Hypertable vs. IRONdb

System Properties Comparison Altibase vs. Apache Doris vs. Firebase Realtime Database vs. Hypertable vs. IRONdb

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Doris  Xexclude from comparisonFirebase Realtime Database  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 RDBMSAn MPP-based analytics DBMS embracing the MySQL protocolCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An 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 DBMSRelational DBMSDocument 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
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Websitealtibase.comdoris.apache.org
github.com/­apache/­doris
firebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgithub.com/­apache/­doris/­wikifirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-started
DeveloperAltibaseApache Software Foundation, originally contributed from BaiduGoogle infoacquired by Google 2014Hypertable Inc.Circonus LLC.
Initial release19992017201220092017
Current releasev7.3, 2023, August 20231.2.2, February 20230.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0commercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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
LinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes 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 indexesyesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLANSI SQL-92yesnonoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
MySQL client
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
HTTP API
Supported programming languagesC
C++
Java
JavaJava
JavaScript
Objective-C
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 functionsuser defined functionslimited functionality with using 'rules'noyes, in Lua
TriggersyesnoCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor on file system levelconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes, based on authentication and database rulesnono

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AltibaseApache DorisFirebase Realtime DatabaseHypertableIRONdb
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