DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Druid vs. InfluxDB vs. MemSQL vs. Warp 10

System Properties Comparison Druid vs. InfluxDB vs. MemSQL vs. Warp 10

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonInfluxDB  Xexclude from comparisonMemSQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataDBMS for storing time series, events and metricsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storageTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#119  Overall
#57  Relational DBMS
#8  Time Series DBMS
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score6.01
Rank#62  Overall
#35  Relational DBMS
Score0.14
Rank#289  Overall
#26  Time Series DBMS
Websitedruid.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.memsql.comwww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.influxdata.com/­influxdbdocs.memsql.comwww.warp10.io/­content/­02_Getting_started
DeveloperMetamarkets Group and contributorsMemSQL Inc.SenX
Initial release2012201320132015
Current release1.8.0, April 20207.1.7, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT-License; commercial enterprise version availablecommercial infofree developer edition availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaGoC++Java
Server operating systemsLinux
OS X
Unix
Linux
OS X infothrough Homebrew
Linux info64 bit version requiredLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric 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 indexesyesnoyesno
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query languageyes, but no triggers and foreign keysno
APIs and other access methodsJSON over HTTPHTTP API
JSON over UDP
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoin enterprise version onlySource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency only within each nodeImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoOnly isolation level: READ COMMITEDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 engineyesyes
User concepts infoAccess controlno infoavailable via extensionssimple rights management via user accountsfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DruidInfluxDBMemSQLWarp 10
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DruidInfluxDBMemSQLWarp 10
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

show all

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

show all

Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

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

provided by Google News

How to easily deploy LAN-accessible pods to a Kubernetes cluster
17 September 2020, TechRepublic

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

Where InfluxDB time series database is going
21 January 2020, TechTarget

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

InfluxDB Cloud now available on Microsoft Azure, Google Cloud and AWS
24 July 2020, Help Net Security

provided by Google News

MemSQL scalable SQL database now available on Red Hat Marketplace
10 September 2020, Help Net Security

MemSQL Continues International Momentum with Key Executive Hires
17 September 2020, AiThority

Database Automation Market Revenue and Competitor Insights | NuoDB (US), TestingWhiz (US), Puppet (US), Clustrix (US), and MemSQL (US)
26 September 2020, seaview road

MemSQL raises $50M in debt facility for its real-time database platform
11 May 2020, TechCrunch

MemSQL Expands Collaboration with AWS, Red Hat To Support Cloud-Based Operational Analytics
10 September 2020, Integration Developers

provided by Google News

Time Series Intelligence Software Market Size And Forecast (2020-2026)| With Post Impact Of Covid-19 By Top Leading Players- Azure Time Series Insights,Trendalyze,Anodot,Seeq,SensorMesh,Warp 10
27 September 2020, Crypto Daily

Time Series Intelligence Software Market Share: Key players, Application, Focused Regions and Product Types-Trendalyze, Anodot, Seeq
25 September 2020, thedailychronicle.in

AR Visualization Software Market: Key Players, Growth, Analysis, 2020-2026
25 September 2020, The Daily Chronicle

Time Series Databases Software Market Report 2020 Global Industry Size, Segment by Key Companies, Types & Applications and Forecast to 2025
11 May 2020, Express Journal

Time Series Intelligence Software Market Trends, Growth, Scope, Size, Overall A
3 June 2020, News by aeresearch

provided by Google News

Job opportunities

Technical Support Engineer
Imply, Burlingame, CA

Solutions Architect
Imply, Burlingame, CA

Community Engineer
Imply, Burlingame, CA

Staff Software Engineer, Infrastructure
Gatsby, Remote

Linux Engineer (TS)
Shine Systems, Washington, DC

DBA Specialist
THEATRO, Richardson, TX

Remote Front-End Developer (Contract)
PlaceIQ, Boston, MA

Ruby On Rails Developer
Power Home Remodeling, Philadelphia, PA

Software Engineer, University Graduate
MemSQL, San Francisco, CA

8845-Eng 2, Software Dev & Engineering
Comcast, Mount Laurel, NJ

Education Delivery Specialist
MemSQL, California

Programmer Analyst
Keyseries, North Haven, CT

Database Engineer
Presat, New York, NY

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Present your product here