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DBMS > BigchainDB vs. Ignite vs. Microsoft Azure Table Storage vs. Realm vs. Trafodion

System Properties Comparison BigchainDB vs. Ignite vs. Microsoft Azure Table Storage vs. Realm vs. Trafodion

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRealm  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Wide Column Store for rapid development using massive semi-structured datasetsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeKey-value store
Relational DBMS
Wide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.bigchaindb.comignite.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesrealm.iotrafodion.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestapacheignite.readme.io/­docsrealm.io/­docstrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationMicrosoftRealm, acquired by MongoDB in May 2019Apache Software Foundation, originally developed by HP
Initial release20162015201220142014
Current releaseApache Ignite 2.62.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++, Java, .NetC++, Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsCLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono inforuns within the applications so server-side scripts are unnecessaryJava Stored Procedures
Triggersyes (cache interceptors and events)noyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmno
User concepts infoAccess controlyesSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signaturesyesfine grained access rights according to SQL-standard

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More resources
BigchainDBIgniteMicrosoft Azure Table StorageRealmTrafodion
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