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

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDBMS 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 MongoDBDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#26  Document stores
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Score1.78
Rank#119  Overall
#59  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.influxdata.com/­products/­influxdb-overviewgithub.com/­Terark/­terarkdbwww.voltdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wikidocs.voltdb.com
DeveloperTerarkVoltDB Inc.
Initial release2019201320162010
Current release1.7.8, August 20199.0, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java, C++
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
OS X infofor development
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoonly a subset of SQL 99
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
JSON over UDP
C++ API
Java API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnononoJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoin enterprise version onlynoneMaster-master replication
Master-slave replication
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 Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accountsnoUsers and roles with access to stored procedures
More information provided by the system vendor
Amazon DocumentDBInfluxDBTerarkDBVoltDB
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
Amazon DocumentDBInfluxDBTerarkDBVoltDB
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

Recent citations in the news

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

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

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

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

news digest: ONNX at LF AI Foundation, InfluxDB Cloud 2.0, and IBM partners with Stanford Human-Centered AI Institute - SD Times
15 November 2019, SDTimes.com

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

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

VoltDB Secures $10 Million in Series C Funding to Meet Demand for 5G Data Requirements
23 October 2019, PRNewswire

Company of the week: VoltDB
25 October 2019, PitchBook News & Analysis

VoltDB Raises $10M in Series C Funding
23 October 2019, FinSMEs

In-Memory Database Market Size, Share & Trend | Trade Analysis Report, 2025
19 November 2019, Kentucky Reports

In-Memory Database Market ||Oracle Corporation, Teradata Corporation, VoltDB Inc., Microsoft Corporation, Software AG
15 November 2019, The Industry Press Releases

provided by Google News

Job opportunities

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

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

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

Environment Integration - DevOps Lead
Freddie Mac, McLean, VA

Database Consultant
Symphony Health Solutions, United States

DevOps Engineer
Also Energy Inc, Boulder, CO

Infrastructure Engineer
Logikcull, Remote

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

NOC Technician
Bird Rides Inc., Santa Monica, CA

Eurotech Software Engineer
Eurotech Inc., Boston, MA

Principal Big Data Engineer
Fidelity Investments, Boston, MA

Principal Developer
BNY Mellon, New York, NY

Backend/Data Engineer II
TripleLift, New York, NY

DevOps Engineer
TripleLift, New York, NY

Data Engineer
TripleLift, New York, NY

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

RavenDB logo

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

Neo4j logo

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

Couchbase logo

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


Datastax logo

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

Present your product here