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DBMS > FatDB vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. Rockset

System Properties Comparison FatDB vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. Rockset

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRockset  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed Event Store optimized for Internet of Things use casesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Document storeEvent Store
Time Series DBMS
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storerockset.com
Technical documentationfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storedocs.rockset.com
DeveloperFatCloudGoogle infoacquired by Google 2014IBMRockset
Initial release2012201220172019
Current release2.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++C++
Server operating systemsWindowshostedLinux infoLinux, macOS, Windows for the developer additionhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyes infothrough the embedded Spark runtimeRead-only SQL queries, including JOINs
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC#Java
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia applicationslimited functionality with using 'rules'yesno
Triggersyes infovia applicationsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
FatDBFirebase Realtime DatabaseIBM Db2 Event StoreRockset
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