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DBMS > Google Cloud Spanner vs. InfluxDB vs. TerarkDB

System Properties Comparison Google Cloud Spanner vs. InfluxDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.DBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#112  Overall
#56  Relational DBMS
Score18.65
Rank#33  Overall
#1  Time Series DBMS
Score0.08
Rank#297  Overall
#50  Key-value stores
Websitecloud.google.com/­spannerwww.influxdata.com/­time-series-platform/­influxdbgithub.com/­Terark/­terarkdb
Technical documentationcloud.google.com/­spanner/­docsdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleTerark
Initial release201720132016
Current release1.7.6, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemshostedLinux
OS X infothrough Homebrew
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsno
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 indexesyesnono
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
HTTP API
JSON over UDP
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-Master replication with 3 replicas for regional instances.selectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsno
More information provided by the system vendor
Google Cloud SpannerInfluxDBTerarkDB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» 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
Google Cloud SpannerInfluxDBTerarkDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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4 July 2016, Matthias Gelbmann

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Recent citations in the news

Top 6 Google cloud certification programs
11 September 2019, TechTarget

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

Striim Launches PaaS Solution for Real-Time Data Integration to Google Cloud Spanner
2 April 2019, PRNewswire

Google Updates Cloud Spanner: Query Introspection, New Regions, and New Multi-Region Configurations
31 December 2018, InfoQ.com

Spanning The Database World With Google
15 January 2019, The Next Platform

provided by Google News

InfluxData Advances Analytic Capabilities for InfluxDB Cloud
12 September 2019, Database Trends and Applications

InfluxData launches new serverless time series cloud database platform, InfluxDB Cloud 2.0
12 September 2019, Packt Hub

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, DevOps.com

InfluxData raises $60 million for time-series database software
13 February 2019, Inventiva

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

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