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DBMS > Datomic vs. Firebase Realtime Database vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. SQream DB

System Properties Comparison Datomic vs. Firebase Realtime Database vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. SQream DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSQream DB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL Servera GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analyticssqream.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analyticsdocs.sqream.com
DeveloperCognitectGoogle infoacquired by Google 2014Circonus LLC.MicrosoftSQream Technologies
Initial release20122012201720162017
Current release1.0.7180, July 2024V0.10.20, January 20182022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialcommercial
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 languageJava, ClojureC and C++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMhostedLinuxhostedLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes, ANSI Standard SQL Types
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.nononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)yesyes
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP APIADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'yes, in LuaTransact SQLuser defined functions in Python
TriggersBy using transaction functionsCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic, metric affinity per nodeSharding, horizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersconfigurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnoyes, based on authentication and database rulesnoyes

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More resources
DatomicFirebase Realtime DatabaseIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSQream DB
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