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DBMS > Google Cloud Datastore vs. InfluxDB vs. ObjectBox vs. Trafodion

System Properties Comparison Google Cloud Datastore vs. InfluxDB vs. ObjectBox vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInfluxDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for storing time series, events and metricsExtremely fast embedded database for small devices, IoT and MobileTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeTime Series DBMSObject oriented DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitecloud.google.com/­datastorewww.influxdata.com/­products/­influxdb-overviewobjectbox.iotrafodion.apache.org
Technical documentationcloud.google.com/­datastore/­docsdocs.influxdata.com/­influxdbdocs.objectbox.iotrafodion.apache.org/­documentation.html
DeveloperGoogleObjectBox LimitedApache Software Foundation, originally developed by HP
Initial release2008201320172014
Current release2.7.6, April 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++, Java
Server operating systemshostedLinux
OS X infothrough Homebrew
Android
iOS
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereNumeric data and Stringsyesyes
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languagenoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
JSON over UDP
Proprietary native APIADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresusing Google App EnginenonoJava Stored Procedures
TriggersCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infoin enterprise version onlyonline/offline synchronization between client and serveryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
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.noyes infoDepending on used storage enginenono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreInfluxDBObjectBoxTrafodion
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen 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
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