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DBMS > Hypertable vs. IBM Db2 Event Store vs. Microsoft Access vs. SWC-DB

System Properties Comparison Hypertable vs. IBM Db2 Event Store vs. Microsoft Access vs. SWC-DB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopDistributed 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.)A high performance, scalable Wide Column DBMS
Primary database modelWide column storeEvent Store
Time Series DBMS
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­access
DeveloperHypertable Inc.IBMMicrosoftAlex Kashirin
Initial release2009201719922020
Current release0.9.8.11, March 20162.01902 (16.0.11328.20222), March 20190.5, April 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes
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 indexesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Thrift
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
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++
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - 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.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
HypertableIBM Db2 Event StoreMicrosoft AccessSWC-DB infoSuper Wide Column Database
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