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DBMS > Firebolt vs. IBM Db2 Event Store vs. Microsoft Access vs. Microsoft Azure Synapse Analytics

System Properties Comparison Firebolt vs. IBM Db2 Event Store vs. Microsoft Access vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseDistributed Event Store optimized for Internet of Things use casesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.firebolt.iowww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.firebolt.iowww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analytics
DeveloperFirebolt Analytics Inc.IBMMicrosoftMicrosoft
Initial release2020201719922016
Current release2.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLshosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardyes
APIs and other access methods.Net
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesGo
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineTransact SQL
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerActive-active shard replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno 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 datanoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes

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More resources
FireboltIBM Db2 Event StoreMicrosoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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