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DBMS > atoti vs. BoltDB vs. Microsoft SQL Server

System Properties Comparison atoti vs. BoltDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.Microsofts flagship relational DBMS
Primary database modelObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#254  Overall
#15  Object oriented DBMS
Score0.58
Rank#223  Overall
#34  Key-value stores
Score944.96
Rank#3  Overall
#3  Relational DBMS
Websitewww.atoti.iogithub.com/­boltdb/­boltwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperActiveViamMicrosoft
Initial release20131989
Current releaseSQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT Licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGoC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresPythonnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
atotiBoltDBMicrosoft SQL Server
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