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DBMS > GridDB vs. Pinecone vs. Rockset vs. SpatiaLite

System Properties Comparison GridDB vs. Pinecone vs. Rockset vs. SpatiaLite

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonPinecone  Xexclude from comparisonRockset  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA managed, cloud-native vector databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpatial extension of SQLite
Primary database modelTime Series DBMSVector DBMSDocument storeSpatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitegriddb.netwww.pinecone.iorockset.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.griddb.netdocs.pinecone.io/­docs/­overviewdocs.rockset.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperToshiba CorporationPinecone Systems, IncRocksetAlessandro Furieri
Initial release2013201920192008
Current release5.1, August 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsLinuxhostedhostedserver-less
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampString, Number, Booleandynamic typingyes
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.nonono infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
PythonGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
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 containersEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 databaseAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
GridDBPineconeRocksetSpatiaLite
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBPineconeRocksetSpatiaLite
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