DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Aurora vs. EXASOL vs. VoltDB

System Properties Comparison Amazon Aurora vs. EXASOL vs. VoltDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed 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 modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.19
Rank#44  Overall
#27  Relational DBMS
Score3.65
Rank#85  Overall
#43  Relational DBMS
Score1.83
Rank#130  Overall
#64  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.exasol.comwww.voltdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­en/­resourcesdocs.voltdb.com
DeveloperAmazonExasolVoltDB Inc.
Initial release201520002010
Current release9.0, April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++
Server operating systemshostedLinux
OS X infofor development
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
Java API
JDBC
RESTful HTTP/JSON 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
Java
Lua
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsJava
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers and roles with access to stored procedures

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 AuroraEXASOLVoltDB
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

Recent citations in the news

Migrate to an Amazon Aurora PostgreSQL instance from another PostgreSQL source
9 September 2020, idk.dev

Google Cloud SQL Supports MySQL 8.0
9 September 2020, InfoQ.com

What is Amazon Aurora?
23 December 2019, TechRadar

How to delete user data in an AWS data lake
18 September 2020, idk.dev

N2WS now supports AWS Outposts
15 September 2020, PR Web

provided by Google News

Exasol Research Finds 58% of Organizations Make Decisions Based on Outdated Data
29 September 2020, Business Wire

Exasol dominates its peer groups in BARC Data Management Survey 2020
24 September 2020, Business Wire

Exasol and Cittabase Partner to Deliver Best-In-Class Analytics Experience to APAC Customers
2 September 2020, Business Wire

Exasol & Cittabase Partner to Deliver Best Analytics Experience
3 September 2020, Martechcube

Exasol Announces New Partnership with Rackspace Technology
8 September 2020, Business Wire

provided by Google News

In-Memory Database Market 2020 Forecast Overview, Supply Chain Analysis By - Pivotal Software, Inc., Voltdb, Inc., Centrum Wiskunde & Informatica, Gridgain Systems, Inc., Redis Labs, Oracle Corporation, Hasso-plattner-institut, Teracotta Inc., Exasol, SAP SE, Mcobject Llc,etc
28 September 2020, The Market Records

In-memory OLAP Database Market to Eyewitness Massive Growth by 2028: Altibase, IBM, Microsoft
28 September 2020, The Daily Chronicle

Tag: Database Management Systems (Dbms) market Top Manufacturers
21 September 2020, Verdant News

In-Memory Database Market 2020 Trends and Key Growth Opportunities | Manufactures -Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software, Kognitio, VoltDB, Datastax, Enea Ab, Mcobject, Altibase, Starcounter
28 September 2020, The Daily Chronicle

Leveraging 5G latency reduction requires decentralized compute
4 September 2020, RCR Wireless News

provided by Google News

Job opportunities

Sr. Software Development Manager - Aurora Storage
Amazon.com Services LLC, Seattle, WA

Sr. Software Development Manager - Aurora PostgreSQL
Amazon Web Services, Inc., Boston, MA

Software Developer -- Aurora
Amazon.com Services LLC, East Palo Alto, CA

Software Development Manager, Amazon Aurora
Amazon.com Services LLC, Seattle, WA

Director, Aurora Storage
Amazon Web Services, Inc., Remote

Database Administrator
Trilliant, Cary, NC

Service Desk Specialist
Exasol, Atlanta, GA

Data Analyst Intern - Periscope
McKinsey & Company, San Jose, CA

Senior Reporting Analytics Developer
Bumble, Austin, TX

Business Intelligence Intern - Summer 2021
InterWorks, Stillwater, OK

jobs by Indeed




Share this page

Featured Products

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 Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Vertica logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here