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DBMS > BigchainDB vs. Google Cloud Bigtable vs. Microsoft SQL Server vs. Trafodion

System Properties Comparison BigchainDB vs. Google Cloud Bigtable vs. Microsoft SQL Server vs. Trafodion

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft SQL Server  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 assetsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsofts flagship relational DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeKey-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitewww.bigchaindb.comcloud.google.com/­bigtablewww.microsoft.com/­en-us/­sql-servertrafodion.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigtable/­docslearn.microsoft.com/­en-US/­sql/­sql-servertrafodion.apache.org/­documentation.html
DeveloperGoogleMicrosoftApache Software Foundation, originally developed by HP
Initial release2016201519892014
Current releaseSQL Server 2022, November 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languagePythonC++C++, Java
Server operating systemsLinuxhostedLinux
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nonoyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava Stored Procedures
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesyes, but depending on the SQL-Server Editionyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID
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 controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BigchainDBGoogle Cloud BigtableMicrosoft SQL ServerTrafodion
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