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DBMS > GridDB vs. LevelDB vs. Oracle Rdb vs. Stardog

System Properties Comparison GridDB vs. LevelDB vs. Oracle Rdb vs. Stardog

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSKey-value storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitegriddb.netgithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.stardog.com
Technical documentationdocs.griddb.netgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.stardog.com
DeveloperToshiba CorporationGoogleOracle, originally developed by Digital Equipment Corporation (DEC)Stardog-Union
Initial release2013201119842010
Current release5.1, August 20221.23, February 20217.4.1.1, 20217.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSDcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinuxIllumos
Linux
OS X
Windows
HP Open VMSLinux
macOS
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAccess rights for users and roles
More information provided by the system vendor
GridDBLevelDBOracle RdbStardog
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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GridDBLevelDBOracle RdbStardog
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