DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Aurora vs. CouchDB vs. EXASOL vs. Graphite vs. Hazelcast

System Properties Comparison Amazon Aurora vs. CouchDB vs. EXASOL vs. Graphite vs. Hazelcast

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEXASOL  Xexclude from comparisonGraphite  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA widely adopted in-memory data grid
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score10.26
Rank#45  Overall
#7  Document stores
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Websiteaws.amazon.com/­rds/­auroracouchdb.apache.orgwww.exasol.comgithub.com/­graphite-project/­graphite-webhazelcast.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.couchdb.org/­en/­stablewww.exasol.com/­resourcesgraphite.readthedocs.iohazelcast.org/­imdg/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerExasolChris DavisHazelcast
Initial release20152005200020062008
Current release3.3.3, December 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
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 languageErlangPythonJava
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Unix
All OS with a Java VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
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.yesnononoyes infothe object must implement a serialization strategy
Secondary indexesyesyes infovia viewsyesnoyes
SQL infoSupport of SQLyesnoyesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON API.Net
JDBC
ODBC
WebSocket
HTTP API
Sockets
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
Lua
Python
R
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functionsnoyes infoEvent Listeners, Executor Services
Triggersyesyesyesnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoimproved architecture with release 2.0ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencynoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standardnoRole-based access control

More information provided by the system vendor

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 AuroraCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EXASOLGraphiteHazelcast
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

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

show all

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

show all

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

University of Nebraska-Omaha's ITD Lab migrates to Amazon Aurora with Babelfish, reducing database costs | Amazon ...
8 April 2024, AWS Blog

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

How RocketReach stabilized Amazon Aurora costs and improved performance with Amazon Aurora I/O-Optimized ...
2 April 2024, AWS Blog

New – Amazon Aurora Optimized Reads for Aurora PostgreSQL with up to 8x query latency improvement for I/O ...
8 November 2023, AWS Blog

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ...
18 March 2024, AWS Blog

provided by Google News

How to install the CouchDB NoSQL database on Debian Server 11
16 June 2022, TechRepublic

IBM Cloudant pulls plan to fund new foundational layer for CouchDB
15 March 2022, The Register

CouchDB 3.0 ends admin party era • DEVCLASS
27 February 2020, DevClass

CouchDB 3.0 puts safety first
27 February 2020, InfoWorld

How to Connect Your Flask App With CouchDB: A NoSQL Database - MUO
14 August 2021, MakeUseOf

provided by Google News

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
21 February 2024, businesswire.com

Exasol Reimagines In-Memory Analytics with Major Database Update
30 May 2023, Datanami

Top Customer-Rated Exasol Espresso Gets Boost of AI
13 November 2023, businesswire.com

provided by Google News

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

Getting Started with Monitoring using Graphite
23 January 2015, InfoQ.com

How Grafana made observability accessible
12 June 2023, InfoWorld

Grafana 4.0 Brings Major Enhancements to Leading Visualization Tool
30 November 2016, PR Newswire

provided by Google News

Hazelcast 5.4 real time data processing platform boosts AI and consistency
17 April 2024, VentureBeat

Hazelcast Weaves Wider Logic Threads Through The Data Fabric
7 March 2024, Forbes

Hazelcast Achieves Record Year with Leading Brands Choosing Its Platform for Application Modernization, AI Initiatives
22 February 2024, Datanami

Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars
7 November 2023, Finovate

Hazelcast Versus Redis: A Practical Comparison
4 January 2024, Database Trends and Applications

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Milvus logo

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

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

Neo4j logo

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

Present your product here