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DBMS > Axibase vs. Firebase Realtime Database vs. InterSystems IRIS vs. Quasardb vs. Splice Machine

System Properties Comparison Axibase vs. Firebase Realtime Database vs. InterSystems IRIS vs. Quasardb vs. Splice Machine

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financefirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­intersystems-irisquasar.aisplicemachine.com
Technical documentationfirebase.google.com/­docs/­databasedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperAxibase CorporationGoogle infoacquired by Google 2014InterSystemsquasardbSplice Machine
Initial release20132012201820092014
Current release155852023.3, June 20233.14.1, January 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license available
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 languageJavaC++Java
Server operating systemsLinuxhostedAIX
Linux
macOS
Ubuntu
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freedepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes infointeger and binaryyes
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 indexesnoyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query languageyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Java
JavaScript
Objective-C
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yesnoyes infoJava
TriggersyesCallbacks are triggered when data changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlyes, based on authentication and database rulesyesCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AxibaseFirebase Realtime DatabaseInterSystems IRISQuasardbSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AxibaseFirebase Realtime DatabaseInterSystems IRISQuasardbSplice Machine
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