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DBMS > BigchainDB vs. Brytlyt vs. DolphinDB vs. Microsoft SQL Server

System Properties Comparison BigchainDB vs. Brytlyt vs. DolphinDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft SQL Server  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 PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Microsofts flagship relational DBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitewww.bigchaindb.combrytlyt.iowww.dolphindb.comwww.microsoft.com/­en-us/­sql-server
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iodocs.dolphindb.cn/­en/­help200/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperBrytlytDolphinDB, IncMicrosoft
Initial release2016201620181989
Current release5.0, August 2023v2.00.4, January 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infofree community version availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
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++ and CUDAC++C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
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 SQLnoyesSQL-like query languageyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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.yesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAdministrators, Users, Groupsfine grained access rights according to SQL-standard

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More resources
BigchainDBBrytlytDolphinDBMicrosoft SQL Server
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