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DBMS > Google Cloud Datastore vs. InfluxDB vs. Rockset vs. Sadas Engine

System Properties Comparison Google Cloud Datastore vs. InfluxDB vs. Rockset vs. Sadas Engine

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInfluxDB  Xexclude from comparisonRockset  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for storing time series, events and metricsA scalable, reliable search and analytics service in the cloud, built on RocksDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument storeTime Series DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitecloud.google.com/­datastorewww.influxdata.com/­products/­influxdb-overviewrockset.comwww.sadasengine.com
Technical documentationcloud.google.com/­datastore/­docsdocs.influxdata.com/­influxdbdocs.rockset.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogleRocksetSADAS s.r.l.
Initial release2008201320192006
Current release2.7.6, April 20248.0
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++
Server operating systemshostedLinux
OS X infothrough Homebrew
hostedAIX
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereNumeric data and Stringsdynamic 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 indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageRead-only SQL queries, including JOINsyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
JSON over UDP
HTTP RESTJDBC
ODBC
Proprietary protocol
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
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresusing Google App Enginenonono
TriggersCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infoin enterprise version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
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.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
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 engineyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreInfluxDBRocksetSadas Engine
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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More resources
Google Cloud DatastoreInfluxDBRocksetSadas Engine
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