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

DBMS > Amazon DocumentDB vs. Amazon Redshift vs. InfluxDB vs. TerarkDB

System Properties Comparison Amazon DocumentDB vs. Amazon Redshift vs. InfluxDB vs. TerarkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLarge scale data warehouse service for use with business intelligence toolsDBMS 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 modelDocument storeRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#26  Document stores
Score21.78
Rank#31  Overall
#19  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­redshiftwww.influxdata.com/­products/­influxdb-overviewgithub.com/­Terark/­terarkdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­redshiftdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wiki
DeveloperAmazon (based on PostgreSQL)Terark
Initial release2019201220132016
Current release1.7.8, August 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++
Server operating systemshostedhostedLinux
OS X infothrough Homebrew
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric 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.nononono
Secondary indexesyesrestrictednono
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
HTTP API
JSON over UDP
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnono
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.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
Amazon DocumentDBAmazon RedshiftInfluxDBTerarkDB
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
3rd partiesDremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

DBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
» more

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

More resources
Amazon DocumentDBAmazon RedshiftInfluxDBTerarkDB
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

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

Recent citations in the news

Alibaba Cloud to offer MongoDB managed service
30 October 2019, ZDNet

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

How We'll Know If Amazon's DocumentDB Is Hurting MongoDB
21 March 2019, The Motley Fool

Amazon DocumentDB Speeds Up With Slow Queries Logging
20 August 2019, Computer Business Review

DocumentDB vs. DynamoDB: Compare AWS NoSQL databases
26 April 2019, TechTarget

provided by Google News

Diyotta Now Available in AWS Marketplace
13 November 2019, PR Web

AWS data lake and data warehouse options for the cloud
14 November 2019, TechTarget

Tableau expands AWS partnership with new cloud migration initiative
12 November 2019, ZDNet

Tableau, AWS Extend Alliance With Cloud Analytics Initiative
14 November 2019, CRN: The Biggest Tech News For Partners And The IT Channel

AWS, Genesys, Salesforce Purvey New Open Data Model
13 November 2019, SDxCentral

provided by Google News

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

Creating Your Personal IoT/Utility Dashboard Using Grafana, Influxdb & Telegraf on a Raspberry Pi
12 November 2019, IoT For All

InfluxData Launches Enterprise-Class Time Series Solution as a Cloud Service
30 October 2019, Integration Developers

A guide to APM solutions
4 November 2019, SDTimes.com

How these companies can help you monitor your applications
4 November 2019, SDTimes.com

provided by Google News

A Chinese company is making the cloud 200x faster
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

Job opportunities

Business Analyst III
Amazon.com Services, Inc., Seattle, WA

Product Manager, Databases
Amazon.com Services, Inc., Seattle, WA

Principal Product Manager - DocumentDB
Amazon Web Services, Inc., Seattle, WA

Principal Product Manager - New Service
Amazon Web Services, Inc., Seattle, WA

Environment Integration - DevOps Lead
Freddie Mac, McLean, VA

Professional Services Consultant Intern - 2020 United States
Amazon.com Services, Inc., Seattle, WA

Business Analyst II
Amazon.com Services, Inc., Seattle, WA

Corporate Data Analyst
Covetrus, Dublin, OH

Business Analyst - Enterprise Data and Analytics
Red Hat, Inc., Raleigh, NC

Amazon Redshift-Lead
Wipro LTD, Dublin, OH

Site Reliability Engineer, Tesla Energy
Tesla, Palo Alto, CA

Infrastructure Engineer
Logikcull, Remote

DevOps Inventory Engineer Analyst
Medical Science & Computing, Inc., Bethesda, MD

2nd Shift DevOps Engineer (Weekend Schedule), Wayfair Operations Center
Wayfair, Boston, MA

Backend Engineer, Robotics Software
Creator, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Couchbase logo

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

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start 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.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Present your product here