DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon DynamoDB vs. Drizzle vs. GigaSpaces vs. InfluxDB vs. PouchDB

System Properties Comparison Amazon DynamoDB vs. Drizzle vs. GigaSpaces vs. InfluxDB vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInfluxDB  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDBMS for storing time series, events and metricsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument store
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.39
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.94
Rank#194  Overall
#33  Document stores
#7  Object oriented DBMS
Score21.47
Rank#28  Overall
#1  Time Series DBMS
Score2.08
Rank#116  Overall
#21  Document stores
Websiteaws.amazon.com/­dynamodbwww.gigaspaces.comwww.influxdata.com/­products/­influxdb-overviewpouchdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.gigaspaces.com/­latest/­landing.htmldocs.influxdata.com/­influxdbpouchdb.com/­guides
DeveloperAmazonDrizzle project, originally started by Brian AkerGigaspaces TechnologiesApache Software Foundation
Initial release20122008200020132012
Current release7.2.4, September 201215.5, September 20202.7.6, April 20247.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetGoJavaScript
Server operating systemshostedFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesnoyes infovia views
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-99 for query and DML statementsSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Server-side scripts infoStored proceduresnonoyesnoView functions in JavaScript
Triggersyes infoby integration with AWS Lambdano infohooks for callbacks inside the server can be used.yes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoin enterprise version onlySharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infoin enterprise version onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynoyesnonono
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 regionACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlsimple rights management via user accountsno
More information provided by the system vendor
Amazon DynamoDBDrizzleGigaSpacesInfluxDBPouchDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

LLM Monitoring and Observability
4 November 2024

System Tables Part 2: How We Made It Faster
31 October 2024

System Tables Part 1: Introduction and Best Practices
29 October 2024

MaaS: How to Store and Analyze Real-Time Stock Trading Data Using Next.js and InfluxDB
25 October 2024

MaaS: How to Monitor Node.js App Performance with PM2 & InfluxDB
23 October 2024

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 DynamoDBDrizzleGigaSpacesInfluxDBPouchDB
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

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, 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

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

show all

Recent citations in the news

Build a scalable, context-aware chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [1a006c]
9 November 2024, Vatican.va

How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 2: Streams
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [11b37b]
8 November 2024, University of Birmingham

How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 1: Motivation and approaches
6 November 2024, AWS Blog

provided by Google News

Your occasional storage digest with GigaSpaces, Virtana and NAND ship data
7 December 2020, Blocks & Files

GigaSpaces Optimizes the Balance Between Performance and Cost with Enhanced InsightEdge Portfolio
17 February 2021, Database Trends and Applications

GigaSpaces XAP – Now on Amazon EC2
24 June 2008, AWS Blog

New Digital Integration Hub from GigaSpaces and Informatica
31 May 2019, RTInsights

Top 3 In-memory Computing Platforms
6 November 2019, Customer Think

provided by Google News

Simplify Industrial IoT: Use InfluxDB edge replication for centralized time series analytics with Amazon Timestream
3 September 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4 September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4 September 2024, InfoWorld

InfluxData Enhances InfluxDB 3.0 with Performance Upgrades and Self-Managed Option
5 September 2024, Datanami

InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
19 September 2024, Integration Developers

provided by Google News

Building an Offline First App with PouchDB
10 March 2014, SitePoint

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here