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DBMS > Hypertable vs. Manticore Search vs. Quasardb vs. RDF4J

System Properties Comparison Hypertable vs. Manticore Search vs. Quasardb vs. RDF4J

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonManticore Search  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 HadoopMulti-storage database for search, including full-text search.Distributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeSearch engineTime Series DBMSRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitemanticoresearch.comquasar.airdf4j.org
Technical documentationmanual.manticoresearch.comdoc.quasar.ai/­masterrdf4j.org/­documentation
DeveloperHypertable Inc.Manticore SoftwarequasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2009201720092004
Current release0.9.8.11, March 20166.0, February 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeFixed schemaschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infointeger and binaryyes
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.Can index from XMLno
Secondary indexesrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fieldsyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageno
APIs and other access methodsC++ API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSynchronous replication based on Galera librarySource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using LevelDByes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailno

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HypertableManticore SearchQuasardbRDF4J infoformerly known as Sesame
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