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DBMS > Apache Pinot vs. Firebase Realtime Database vs. Ingres vs. Microsoft SQL Server

System Properties Comparison Apache Pinot vs. Firebase Realtime Database vs. Ingres vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Well established RDBMSMicrosofts flagship relational DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Websitepinot.apache.orgfirebase.google.com/­products/­realtime-databasewww.actian.com/­databases/­ingreswww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.pinot.apache.orgfirebase.google.com/­docs/­databasedocs.actian.com/­ingreslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Actian CorporationMicrosoft
Initial release201520121974 infooriginally developed at University Berkely in early 1970s1989
Current release1.0.0, September 202312.0, July 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaCC++
Server operating systemsAll OS with a Java JDK11 or higherhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
Python
Java
JavaScript
Objective-C
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
TriggersCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslytables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoryes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
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.noyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache PinotFirebase Realtime DatabaseIngresMicrosoft SQL Server
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