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DBMS > GridDB vs. Impala vs. PouchDB

System Properties Comparison GridDB vs. Impala vs. PouchDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonImpala  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataAnalytic DBMS for HadoopJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSRelational DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#157  Overall
#12  Time Series DBMS
Score17.56
Rank#40  Overall
#25  Relational DBMS
Score3.33
Rank#100  Overall
#20  Document stores
Websitegriddb.netwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlpouchdb.com
Technical documentationdocs.griddb.netdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlpouchdb.com/­guides
DeveloperToshiba CorporationClouderaApache Software Foundation
Initial release201320132012
Current release4.6, February 20214.0.0, July 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScript
Server operating systemsLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesno
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
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocolJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCJavaScript
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions in JavaScript
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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, groups and roles infobased on Apache Sentry and Kerberosno
More information provided by the system vendor
GridDBImpalaPouchDB
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
GridDBImpalaPouchDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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Recent citations in the news

Toshiba launches cloudy managed IoT database service running its own GridDB
8 April 2021, The Register

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

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5 April 2022, TechRepublic

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23 March 2022, News Azi

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

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