DBMS > Amazon Aurora vs. Hypertable vs. Riak KV

System Properties Comparison Amazon Aurora vs. Hypertable vs. Riak KV

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

MySQL and PostgreSQL compatible cloud service by Amazon

An open source BigTable implementation based on distributed file systems such as Hadoop

Distributed, fault tolerant key-value store

Primary database model

Relational DBMS

Wide column store

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	9.46
Rank	#44	Overall
	#28	Relational DBMS

Score	5.07
Rank	#67	Overall
	#9	Key-value stores

Website

aws.amazon.com/rds/aurora

riak.com/products/riak-kv

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

Developer

Amazon

Hypertable Inc.

Basho Technologies

Initial release

2015

2009

Current release

0.9.8.11, March 2016

2.1.0, April 2015

License

Commercial or Open Source

commercial

Open Source

GNU version 3. Commercial license available

Open Source

Apache version 2, commercial enterprise edition

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Erlang

Server operating systems

hosted

Linux
OS X
Windows

an inofficial Windows port is available

Linux
OS X

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

restricted

only exact value or prefix value scans

restricted

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

C++ API
Thrift

HTTP API
Native Erlang Interface

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C++
Java
Perl
PHP
Python
Ruby

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

yes

JavaScript and Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

no "single point of failure"

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor on file system level

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

links between data sets can be stored

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources

DB-Engines blog posts

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

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7 February 2017, Matthias Gelbmann

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

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Recent citations in the news

AWS Announces Amazon Aurora Supports PostgreSQL 12 (infoq.com)
7 February 2021, InfoQ.com

Amazon launches new failover options with Aurora Global Database
19 February 2021, Continuity Central

Microsoft Ignite Data and Analytics roundup: Platform extensions are the key theme
2 March 2021, ZDNet

Amazon.com Announces Financial Results and CEO Transition
2 February 2021, Business Wire

The Pitfalls of DIY Security for Your AWS RDS Databases
24 February 2021, Security Boulevard

provided by Google News

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21 February 2021, NeighborWebSJ

NoSQL Database Market to Rear Excessive Growth During 2020 – South Florida Theater Review
3 March 2021, South Florida Theater Review

NoSQL Market: Find Out Essential Strategies To Increase The Business- MongoDB, Couchbase, Amazon Web Services, Aerospike, Neo4j – The Bisouv Network
3 March 2021, The Bisouv Network

NoSQL Market to Watch: Spotlight On MySQL, MongoDB, PostgreSQL, Oracle Database – Express Keeper
26 February 2021, Express Keeper

Nosql Market Trends, Top Players, Market Demands, Industry Growth Forecast: 2026
25 February 2021, NY Market Reports

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Cloud-Based Time Series Database Market SWOT Analysis, By Top Players- Alibaba Amazon (AWS) AVEVA Axibase BangDB Circonus Cortex Crate DataStax Dell (VMware) Fauna First Derivatives (Kx Systems) Google IBM InfluxData McObject Microsoft QuasarDB QuestDB Riak SenX Timescale Trendalyze
2 March 2021, The Bisouv Network

Cloud-Based Time Series Database Market Size | Latest COVID19 Impact Analysis | Demand, Growth, Trends, Segmentation and Forecasts to 2027 – NeighborWebSJ
15 February 2021, NeighborWebSJ

Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, Analytics India Magazine

NoSQL database Riak acquired following Basho’s fall from grace
13 September 2017, Computer Business Review

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

provided by Google News

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