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DBMS > BigchainDB vs. Brytlyt vs. Firebase Realtime Database vs. IBM Db2 Event Store

System Properties Comparison BigchainDB vs. Brytlyt vs. Firebase Realtime Database vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-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 cases
Primary database modelDocument storeRelational DBMSDocument storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.bigchaindb.combrytlyt.iofirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-store
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iofirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-store
DeveloperBrytlytGoogle infoacquired by Google 2014IBM
Initial release2016201620122017
Current release5.0, August 20232.0
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++ and CUDAC and C++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesnoyes infothrough the embedded Spark runtime
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'yes
TriggersyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
BigchainDBBrytlytFirebase Realtime DatabaseIBM Db2 Event Store
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