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DBMS > Hypertable vs. Kinetica vs. Manticore Search vs. Microsoft Access vs. TimesTen

System Properties Comparison Hypertable vs. Kinetica vs. Manticore Search vs. Microsoft Access vs. TimesTen

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTimesTen  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 HadoopFully vectorized database across both GPUs and CPUsMulti-storage database for search, including full-text search.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.)In-Memory RDBMS compatible to Oracle
Primary database modelWide column storeRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.commanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.kinetica.commanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­database/­timesten-18.1
DeveloperHypertable Inc.KineticaManticore SoftwareMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20092012201719921998
Current release0.9.8.11, March 20167.1, August 20216.0, February 20231902 (16.0.11328.20222), March 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGPL version 2commercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxFreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesFixed schemayesyes
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes infobut not compliant to any SQL standardyes
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyes infosince Access 2010 using the ACE-enginePL/SQL
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationSynchronous replication based on Galera librarynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction loggingyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelnono 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
HypertableKineticaManticore SearchMicrosoft AccessTimesTen
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