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DBMS > Firebase Realtime Database vs. Spark SQL vs. SQream DB vs. TigerGraph

System Properties Comparison Firebase Realtime Database vs. Spark SQL vs. SQream DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitefirebase.google.com/­products/­realtime-databasespark.apache.org/­sqlsqream.comwww.tigergraph.com
Technical documentationfirebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.comdocs.tigergraph.com
DeveloperGoogle infoacquired by Google 2014Apache Software FoundationSQream Technologies
Initial release2012201420172017
Current release3.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, CUDA, Haskell, Java, ScalaC++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (GSQL)
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'nouser defined functions in Pythonyes
TriggersCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes, based on authentication and database rulesnoRole-based access control

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More resources
Firebase Realtime DatabaseSpark SQLSQream DBTigerGraph
DB-Engines blog posts

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