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DBMS > Citus vs. Firebase Realtime Database vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. Tibero

System Properties Comparison Citus vs. Firebase Realtime Database vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. Tibero

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.citusdata.comfirebase.google.com/­products/­realtime-databasehazelcast.comazure.microsoft.com/­services/­synapse-analyticsus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.citusdata.comfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analyticstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGoogle infoacquired by Google 2014HazelcastMicrosoftTmaxSoft
Initial release20102012200820162003
Current release8.1, December 20185.3.6, November 20236, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++C and Assembler
Server operating systemsLinuxhostedAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyes infothe object must implement a serialization strategynoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.limited functionality with using 'rules'yes infoEvent Listeners, Executor ServicesTransact SQLPersistent Stored Procedure (PSM)
TriggersyesCallbacks are triggered when data changesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoReplicated MapyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono 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 dataACIDyesone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesRole-based access controlyesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
CitusFirebase Realtime DatabaseHazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTibero
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