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DBMS > Firebolt vs. Microsoft Azure Synapse Analytics vs. Yaacomo

System Properties Comparison Firebolt vs. Microsoft Azure Synapse Analytics vs. Yaacomo

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.firebolt.ioazure.microsoft.com/­services/­synapse-analyticsyaacomo.com
Technical documentationdocs.firebolt.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperFirebolt Analytics Inc.MicrosoftQ2WEB GmbH
Initial release202020162009
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedAndroid
Linux
Windows
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 SQLyesyesyes
APIs and other access methods.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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 controlyesfine grained access rights according to SQL-standard

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More resources
FireboltMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYaacomo
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