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DBMS > BigchainDB vs. Citus vs. GridGain vs. Microsoft Azure Table Storage

System Properties Comparison BigchainDB vs. Citus vs. GridGain vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCitus  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitewww.bigchaindb.comwww.citusdata.comwww.gridgain.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.citusdata.comwww.gridgain.com/­docs/­index.html
DeveloperGridGain Systems, Inc.Microsoft
Initial release2016201020072012
Current release8.1, December 2018GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoAGPL, commercial license also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonCJava, C++, .Net
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesyesschema-free
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 functionalityyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes (compute grid and cache interceptors can be used instead)no
Triggersyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking
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.noyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signatures

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More resources
BigchainDBCitusGridGainMicrosoft Azure Table Storage
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