DBMS > GridDB vs. Postgres-XL
System Properties Comparison GridDB vs. Postgres-XL
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|Editorial information provided by DB-Engines
|GridDB Xexclude from comparison
|Postgres-XL Xexclude from comparison
|Scalable in-memory time series database optimized for IoT and Big Data
|Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
|Primary database model
|Time Series DBMS
|Secondary database models
|2014 since 2012, originally named StormDB
|5.1, August 2022
|10 R1, October 2018
|License Commercial or Open Source
|Open Source AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
|Open Source Mozilla public license
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Typing predefined data types such as float or date
|yes numerical, string, blob, geometry, boolean, timestamp
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes XML type, but no XML query functionality
|SQL Support of SQL
|SQL92, SQL-like TQL (Toshiba Query Language)
|yes distributed, parallel query execution
|APIs and other access methods
RESTful HTTP/JSON API
native C library
streaming API for large objects
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate consistency within container, eventual consistency across containers
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID at container level
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Access rights for users can be defined per database
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|GridDB is a highly scalable, in-memory time series database optimized for IoT and...
|1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
|Typical application scenarios
|Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
|Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
|GitHub trending repository
|Licensing and pricing models
|Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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|Recent citations in the news
Toshiba's Distributed Database GridDB(R) Now Features Scale-Out and Scale-Up combo for Petabyte-scale Data ...
Toshiba launches cloudy managed IoT database service running its own GridDB
GridDB Use case Large-scale high-speed processing of smart meter data following the deregulation of electrical power ...
Toshiba Releases High Scale Database "GridDB" as Open Source | News | TOSHIBA DIGITAL SOLUTIONS ...
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