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DBMS > Hypertable vs. NSDb vs. RDFox vs. SingleStore

System Properties Comparison Hypertable vs. NSDb vs. RDFox vs. SingleStore

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNSDb  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance knowledge graph and semantic reasoning engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelWide column storeTime Series DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitensdb.iowww.oxfordsemantic.techwww.singlestore.com
Technical documentationnsdb.io/­Architecturedocs.oxfordsemantic.techdocs.singlestore.com
DeveloperHypertable Inc.Oxford Semantic TechnologiesSingleStore Inc.
Initial release2009201720172013
Current release0.9.8.11, March 20166.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaC++C++, Go
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Linux
macOS
Windows
Linux info64 bit version required
Data schemeschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyesyes
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 scansall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infobut no triggers and foreign keys
APIs and other access methodsC++ API
Thrift
gRPC
HTTP REST
WebSocket
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
Scala
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoRoles, resources, and access typesFine grained access control via users, groups and roles

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More resources
HypertableNSDbRDFoxSingleStore infoformer name was MemSQL
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