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DBMS > atoti vs. Firebase Realtime Database vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. PostgreSQL

System Properties Comparison atoti vs. Firebase Realtime Database vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. PostgreSQL

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Large scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelObject oriented DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteatoti.iofirebase.google.com/­products/­realtime-databasecloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analyticswww.postgresql.org
Technical documentationdocs.atoti.iofirebase.google.com/­docs/­databasecloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticswww.postgresql.org/­docs
DeveloperActiveViamGoogle infoacquired by Google 2014GoogleMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201020161989 info1989: Postgres, 1996: PostgreSQL
Current release16.2, February 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaC++C
Server operating systemshostedhostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesyesyes infostandard with numerous extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript
Objective-C
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPythonlimited functionality with using 'rules'user defined functions infoin JavaScriptTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnono
User concepts infoAccess controlyes, based on authentication and database rulesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesfine grained access rights according to SQL-standard

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More resources
atotiFirebase Realtime DatabaseGoogle BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgreSQL
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