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DBMS > Axibase vs. Firebolt vs. Realm vs. Spark SQL

System Properties Comparison Axibase vs. Firebolt vs. Realm vs. Spark SQL

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFirebolt  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.firebolt.iorealm.iospark.apache.org/­sql
Technical documentationdocs.firebolt.iorealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAxibase CorporationFirebolt Analytics Inc.Realm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2013202020142014
Current release155853.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinuxhostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmno
User concepts infoAccess controlyesno

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AxibaseFireboltRealmSpark SQL
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