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DBMS > DuckDB vs. Hawkular Metrics vs. Microsoft Access vs. Microsoft SQL Server

System Properties Comparison DuckDB vs. Hawkular Metrics vs. Microsoft Access vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsoft 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.)Microsofts flagship relational DBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Websiteduckdb.orgwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.microsoft.com/­en-us/­sql-server
Technical documentationduckdb.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperCommunity supported by Red HatMicrosoftMicrosoft
Initial release2018201419921989
Current release1.0.0, June 20241902 (16.0.11328.20222), March 2019SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial 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 languageC++JavaC++C++
Server operating systemsserver-lessLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Data schemeyesschema-freeyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP RESTADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandranonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranoneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyes
User concepts infoAccess controlnonono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
DuckDBHawkular MetricsMicrosoft AccessMicrosoft SQL Server
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