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DBMS > GridDB vs. RDF4J vs. TiDB

System Properties Comparison GridDB vs. RDF4J vs. TiDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelTime Series DBMSRDF storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.66
Rank#70  Overall
#38  Relational DBMS
Websitegriddb.netrdf4j.orgpingcap.com
Technical documentationdocs.griddb.netrdf4j.org/­documentationdocs.pingcap.com/­tidb/­stable
DeveloperToshiba CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.PingCAP, Inc.
Initial release201320042016
Current release5.1, August 20228.0.0, March 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++JavaGo, Rust
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databasenoFine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBRDF4J infoformerly known as SesameTiDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
TiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsGitHub trending repository
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
GridDBRDF4J infoformerly known as SesameTiDB
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