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DBMS > GridDB vs. H2 vs. InfluxDB

System Properties Comparison GridDB vs. H2 vs. InfluxDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonH2  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DBMS for storing time series, events and metrics
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#197  Overall
#10  Time Series DBMS
Score6.84
Rank#50  Overall
#29  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Websitegriddb.netwww.h2database.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpwww.h2database.com/­html/­main.htmldocs.influxdata.com/­influxdb
DeveloperToshiba CorporationThomas Mueller
Initial release201320052013
Current release4.2, June 20191.4.200, October 20191.7.8, August 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 infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT-License; commercial enterprise version available
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.
Implementation languageC++JavaGo
Server operating systemsLinuxAll OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesNumeric data and Strings
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 indexesyesyesno
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)yesSQL-like query language
APIs and other access methodsProprietary protocolJDBC
ODBC
HTTP API
JSON over UDP
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
GridDBH2InfluxDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsGitHub trending repository
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Open source core with closed source clustering available either on-premise or on...
» 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
GridDBH2InfluxDB
DB-Engines blog posts

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Recent citations in the news

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14 November 2019, Business Wire

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12 November 2019, IoT For All

InfluxData Launches Enterprise-Class Time Series Solution as a Cloud Service
30 October 2019, Integration Developers

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