DB-EnginesExtremeDB: hybrid in-memory and persistent storage based on a true IMDSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. EsgynDB vs. PouchDB vs. Quasardb

System Properties Comparison Amazon DynamoDB vs. EsgynDB vs. PouchDB vs. Quasardb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score73.76
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score2.68
Rank#104  Overall
#18  Document stores
Score0.21
Rank#282  Overall
#22  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.esgyn.cnpouchdb.comquasardb.net
Technical documentationdocs.aws.amazon.com/­dynamodbpouchdb.com/­guidesdoc.quasardb.net
DeveloperAmazonEsgynApache Software Foundationquasardb
Initial release2012201520122009
Current release7.1.1, June 20193.1, January 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++, JavaJavaScriptC++
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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 indexesyesyesyes infovia viewsyes infowith tags
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetJavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoJava Stored ProceduresView functions in JavaScriptno
Triggersyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Amazon DynamoDBEsgynDBPouchDBQuasardb
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» 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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Amazon DynamoDBEsgynDBPouchDBQuasardb
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

Everything You Need to Know About AWS DynamoDB
28 May 2021, hackernoon.com

ScyllaDB Announces Scylla Enterprise 2021 NoSQL Database
20 May 2021, GlobeNewswire

Amazon Adds Global Clusters to DocumentDB
9 June 2021, InfoQ.com

A better way to query DynamoDB data with SQL
10 March 2021, TechTarget

DynamoDB on-demand vs. provisioned capacity: Which is better?
9 September 2020, TechTarget

provided by Google News

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big...
28 May 2019, Moneycontrol

provided by Google News

Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

Synchronizing Offline App Data with PouchDB
25 September 2015, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB
7 March 2017, SitePoint

Cross Platform Storage and Sync with Ionic Framework, Couchbase, and PouchDB
13 November 2015, DZone News

Which Are the Top Local Databases for React Native Appinventiv
15 October 2019, Appinventiv

provided by Google News

Time Series Databases Software Market Sales Insights, Trends, Share Value, COVID-19 Impact and Size Estimation By 2028 | Influxdata, Trendalyze, Amazon Timestream, Datastax, Prometheus, Quasardb – The Manomet Current
7 June 2021, The Manomet Current

Time Series Databases Software Market Size (2021-2028) | Top Manufacturers – nfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB – KSU | The Sentinel Newspaper
3 June 2021, KSU | The Sentinel Newspaper

Cloud-Based Time Series Database Market 2021 Basic Information, Manufacturing Base, Sales Area, Competitors and Forecast to 2027, Key Players- Alibaba,Amazon (AWS),AVEVA,Axibase – KSU | The Sentinel Newspaper
8 June 2021, KSU | The Sentinel Newspaper

Global Cloud-Based Time Series Database Market 2020-2025 Regional Analysis, Types, and Applications – Top Key Players as Alibaba, Dell (VMware), Amazon (AWS), Axibase – KSU | The Sentinel Newspaper
11 June 2021, KSU | The Sentinel Newspaper

Time Series Databases Software Market Analysis, Trends and Forecast to 2026| InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB – Clark County Blog
7 June 2021, Clark County Blog

provided by Google News

Job opportunities

Software Dev Engineer I
Amazon Web Services, Inc., Bellevue, WA

Data Analyst
Amazon.com Services LLC, DuPont, WA

React Developer (REMOTE OPTIONAL)
Unum, Portland, ME

Software Development Engineer - Amazon DynamoDB
Amazon.com Services LLC, Seattle, WA

Guidewire Developer
Intone Networks, Remote

Manager, Solution Architecture - Project Omnia
Deloitte, Phoenix, AZ

Backend Go Engineer
Benzinga, Detroit, MI

jobs by Indeed




Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

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.

Present your product here