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DBMS > BigchainDB vs. Brytlyt vs. Firebase Realtime Database vs. Ignite

System Properties Comparison BigchainDB vs. Brytlyt vs. Firebase Realtime Database vs. Ignite

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIgnite  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument storeRelational DBMSDocument storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websitewww.bigchaindb.combrytlyt.iofirebase.google.com/­products/­realtime-databaseignite.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iofirebase.google.com/­docs/­databaseapacheignite.readme.io/­docs
DeveloperBrytlytGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2016201620122015
Current release5.0, August 2023Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0
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++, Java, .Net
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesnoANSI-99 for query and DML statements, subset of DDL
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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)
TriggersyesCallbacks are triggered when data changesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
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 rulesSecurity Hooks for custom implementations

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More resources
BigchainDBBrytlytFirebase Realtime DatabaseIgnite
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