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

DBMS > Amazon DocumentDB vs. InfluxDB vs. Oracle Berkeley DB vs. TerarkDB

System Properties Comparison Amazon DocumentDB vs. InfluxDB vs. Oracle Berkeley DB vs. TerarkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDBMS for storing time series, events and metricsWidely used in-process key-value storeA 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 storeTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
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
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Websiteaws.amazon.com/­documentdbwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlgithub.com/­Terark/­terarkdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleTerark
Initial release2019201319942016
Current release1.7.8, August 201918.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availablecommercial inforestricted open source version available
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++ (depending on the Berkeley DB edition)C++
Server operating systemshostedLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnono
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
JSON over UDP
C++ API
Java 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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnononono
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynonenone
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 onlyMaster-slave replicationnone
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
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infoDepending on used storage engineyesyes
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accountsnono
More information provided by the system vendor
Amazon DocumentDBInfluxDBOracle Berkeley DBTerarkDB
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 DocumentDBInfluxDBOracle Berkeley DBTerarkDB
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

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

provided by Google News

The Time Bitcoin (BTC) Accidentally Forked in March 2013, and Someone Sent a $10000 Double Spend at That Exact Moment – Crypto.IQ | Bitcoin and Investment News from Inside Experts You Can Trust
23 October 2019, CryptoIQ

Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Top Local Databases for React Native App Development {A 2020 List}
15 October 2019, Appinventiv

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

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

Infrastructure Engineer
Logikcull, Remote

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

Software Engineering Internship - Metering Operator
Red Hat, Inc., San Francisco, CA

NOC Technician
Bird Rides Inc., Santa Monica, CA

Backend Engineer, Robotics Software
Creator, San Francisco, CA

Database Engineer, Senior
Independent Software, Annapolis Junction, MD

Senior Systems Engineer
DeNovo Solutions, Annapolis Junction, MD

Senior Developer
Spectrum Systems, Riverwoods, IL

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.


Datastax logo

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

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.

Present your product here