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DBMS > atoti vs. Dolt vs. Firebolt vs. Microsoft Azure Synapse Analytics

System Properties Comparison atoti vs. Dolt vs. Firebolt vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolt  Xexclude from comparisonFirebolt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A MySQL compatible DBMS with Git-like versioning of data and schemaHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatoti.iogithub.com/­dolthub/­dolt
www.dolthub.com
www.firebolt.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.atoti.iodocs.dolthub.comdocs.firebolt.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperActiveViamDoltHub IncFirebolt Analytics Inc.Microsoft
Initial release201820202016
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsLinux
macOS
Windows
hostedhosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyesyes
APIs and other access methodsCLI Client
HTTP REST
.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresPythonyes infocurrently in alpha releasenoTransact SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.depending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.yes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupyes

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More resources
atotiDoltFireboltMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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