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DBMS > Druid vs. Google Cloud Spanner vs. InfluxDB

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

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataA 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 metrics
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score1.85
Rank#112  Overall
#56  Relational DBMS
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Websitedruid.iocloud.google.com/­spannerwww.influxdata.com/­time-series-platform/­influxdb
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlcloud.google.com/­spanner/­docsdocs.influxdata.com/­influxdb
DeveloperMetamarkets Group and contributorsGoogle
Initial release201220172013
Current release1.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X infothrough Homebrew
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric 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 SQLSQL support via Apache Calcite adapteryes infoQuery statements complying to ANSI 2011SQL-like query language
APIs and other access methodsJSON over HTTPgRPC (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
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-Master replication with 3 replicas for regional instances.selectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationno
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.nonoyes infoDepending on used storage engine
User concepts infoAccess controlno infoavailable via extensionsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accounts
More information provided by the system vendor
DruidGoogle Cloud SpannerInfluxDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» 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 has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» 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
DruidGoogle Cloud SpannerInfluxDB
DB-Engines blog posts

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

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

provided by Google News

Google will soon open a cloud region in Poland
27 September 2019, TechCrunch

Spanning the Range of Database Requirements in the Cloud
15 October 2019, Database Trends and Applications

SAP Teched Postmortem: SAP HANA Cloud’s potential impact on S/4HANA
14 October 2019, ZDNet

How The Cloud Transformed Our Systems—And My Career
19 September 2019, Forbes

Google to Open Cloud Region in Seoul Early Next Year
26 September 2019, BusinessKorea

provided by Google News

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

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

An Introduction to InfluxDB
5 August 2019, The Collegian

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

provided by Google News

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