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DBMS > HBase vs. RDF4J vs. Sqrrl vs. TDengine vs. Valentina Server

System Properties Comparison HBase vs. RDF4J vs. Sqrrl vs. TDengine vs. Valentina Server

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSqrrl  Xexclude from comparisonTDengine  Xexclude from comparisonValentina Server  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableRDF4J 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 platformObject-relational database and reports server
Primary database modelWide column storeRDF storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitehbase.apache.orgrdf4j.orgsqrrl.comgithub.com/­taosdata/­TDengine
tdengine.com
www.valentina-db.net
Technical documentationhbase.apache.org/­book.htmlrdf4j.org/­documentationdocs.tdengine.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Amazon infooriginally Sqrrl Data, Inc.TDEngine, previously Taos DataParadigma Software
Initial release20082004201220191999
Current release2.3.4, January 20213.0, August 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoAGPL V3, also commercial editions availablecommercial
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 languageJavaJavaJavaC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
LinuxLinux
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyes infoRDF Schemasschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJava API
RESTful HTTP 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
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesnonoyes
Triggersyesyesnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infoIsolation support depends on the API usedAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yesfine grained access rights according to SQL-standard
More information provided by the system vendor
HBaseRDF4J infoformerly known as SesameSqrrlTDengineValentina Server
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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More resources
HBaseRDF4J infoformerly known as SesameSqrrlTDengineValentina Server
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