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DBMS > Hypertable vs. RDF4J vs. Sqrrl vs. TDengine vs. ToroDB

System Properties Comparison Hypertable vs. RDF4J vs. Sqrrl vs. TDengine vs. ToroDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSqrrl  Xexclude from comparisonTDengine  Xexclude from comparisonToroDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Adaptable, secure NoSQL built on Apache AccumuloTime Series DBMS and big data platformA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelWide column storeRDF storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiterdf4j.orgsqrrl.comgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­torodb/­server
Technical documentationrdf4j.org/­documentationdocs.tdengine.com
DeveloperHypertable Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Amazon infooriginally Sqrrl Data, Inc.TDEngine, previously Taos Data8Kdata
Initial release20092004201220192016
Current release0.9.8.11, March 20163.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaCJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
LinuxLinux
Windows
All OS with a Java 7 VM
Data schemeschema-freeyes infoRDF Schemasschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infostring, integer, double, boolean, date, object_id
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 scansyesyesno
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applications
APIs and other access methodsC++ API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infomaking use of HadoopShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneselectable replication factor infomaking use of HadoopyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
User concepts infoAccess controlnonoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yesAccess rights for users and roles
More information provided by the system vendor
HypertableRDF4J infoformerly known as SesameSqrrlTDengineToroDB
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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HypertableRDF4J infoformerly known as SesameSqrrlTDengineToroDB
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