Difference between Amazon Aurora and Amazon Redshift
1. Amazon Aurora :
It is a fully managed relational database engine from Amazon Web Services
that are compatible with MySQL
. It is approx five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Features of Aurora have distributed fault-tolerant and self-healing storage system.
2. Amazon Redshift :
Amazon Redshift is an efficient solution to collect and store all your data and enables you to analyze it. It is a large scale data warehouse service for use with business intelligence tools. Feature of Amazon Redshift – fast, simple, cost-effective data warehousing service. It forms part of larger cloud-computing
platform Amazon Web Services.
Difference between Amazon Aurora and Amazon Redshift :
|Developed By Amazon in 2015.
|Developed By Amazon in 2012.
|It is MySQL and PostgreSQL compatible cloud service by Amazon.
|It is large scale data warehouse service for use with business intelligence tools.
|It supports secondary indexes.
|It supports restricted secondary indexes.
|It supports XML Format.
|It does not support XML Format.
|Its Primary database model is Relational DBMS.
|Its primary database model is Relational DBMS.
|It supports Server-side scripting.
|It supports user-defined functions for Server-side scripting in python.
|The partitioning can be done with horizontal partitioning.
|It supports partitioning methods with Sharding.
|It supports SQL query language.
|It does not fully support SQL-standard.
|It supports only one replication method – Master-slave replication.
|It also supports replication methods.
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