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DBMS > Hypertable vs. Microsoft Access vs. RDFox vs. Vertica

System Properties Comparison Hypertable vs. Microsoft Access vs. RDFox vs. Vertica

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDFox  Xexclude from comparisonVertica infoOpenText™ Vertica™  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 HadoopMicrosoft 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.)High performance knowledge graph and semantic reasoning engineCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelWide column storeRelational DBMSGraph DBMS
RDF store
Relational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oxfordsemantic.techwww.vertica.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.oxfordsemantic.techvertica.com/­documentation
DeveloperHypertable Inc.MicrosoftOxford Semantic TechnologiesOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2009199220172005
Current release0.9.8.11, March 20161902 (16.0.11328.20222), March 20196.0, Septermber 202212.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infoBundled with Microsoft Officecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Linux
Data schemeschema-freeyesyes infoRDF schemasYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyes
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsC++ API
Thrift
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infosince Access 2010 using the ACE-engineyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnonereplication via a shared file systemMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Roles, resources, and access typesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
HypertableMicrosoft AccessRDFoxVertica infoOpenText™ Vertica™
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