#Amazon redshift spectrum vs athena manual

Thirdly, we will compare how each service is managed, and how easy it is to manage security, upgrades and querying tables. Milliseconds start up speed with no initial setup, it is serverless and can start querying data immediately.Īmazon RedShift has to set up the cluster (unless using Amazon RedShift Serverless) and you must load the data manually into tables. Faster than Amazon Athena due to the ability to easily handle traditional joins and relational workloads Slightly slower than Amazon Athena Join Query. Simple Read – Slower than Amazon Athena Aggregated. Slower than Amazon RedShift due to simpler focus Slightly faster than Amazon RedShift Join Query. Simple Read – Faster than Amazon RedShift Aggregated. It is important to know which solution is more performant (and in which scenario) when deciding which product to use.Īmazon Athena uses Apache HQL and is slower than Amazon RedShiftĪmazon RedShift uses PostGreSQL and is therefore faster than Amazon Athena The next criteria we will use to compare Amazon RedShift spectrum vs Amazon Athena is performance. Supports complex data types like arrays and mapsĭoes not support arrays, maps or object identifier typesĭoes not support any User Defined Functions If needed, the key must be declared before data is loaded into the warehouse Duplication exists only if already contained in S3 datasets

#Amazon redshift spectrum vs athena manual

It uses predefined distribution keys to optimize tables for parallel processing (parallelism).Īmazon RedShift chooses your manual partition key for you, as a poor choice here can dramatically impact query performance. Partitions can be done by any key with up to 20,000 keys per table.Īrrays and object identifier types are not supported by Amazon Athena, however.ĭirect partitioning is not supported by default in Amazon RedShift. Serializers/Deserializers (SeRDe) libraries for parsing data from different data formats like CSV, JSON, TSV, and Apache logs. Let’s now look at the basic breakdown of each service – and how they compare and how they differ. Analyzing Amazon S3 data can be done with Amazon Athena for unstructured, semi-structured, and structured data.Īfter a brief overview of both Amazon RedShift and Amazon Athena, let’s explore some differences between them. Amazon Athena is also completely Serverless, meaning there is no foundation that needs to be managed or set up, and it is portable. Users are then able to quickly run complicated SQL queries to analyze and gain insights into the data that is stored.Īmazon RedShift Serverless is now also in preview – which allows all the same functionality of Amazon RedShift, without configuring any clusters.Īmazon RedShift Spectrum is the querying functionality that exists within Amazon RedShift, and is the impetus for comparing Amazon RedShift vs Amazon Athena.īy using basic SQL, Amazon Athena allows you to conveniently analyze data stored in Amazon Simple Storage Service (S3).

Clusters within Amazon RedShift run an Amazon RedShift engine and hold one or more datasets. Within Amazon RedShift, the user sets up clusters (which are groups of servers which work together to run Amazon RedShift).

It is designed to deliver lightning fast querying speed for the largest data sets, with no performance drawbacks. What is Amazon RedShift?Īmazon RedShift is a fully-managed data warehousing solution within the AWS cloud. We are going to explore Amazon Athena vs Amazon RedShift, and more specifically, we will explore Amazon RedShift spectrum vs Athena for differences in performance, management and cost to help you decide which tool you need for a particular job.įirst of all, let’s look at a general summary of Amazon RedShift Spectrum vs Amazon Athena. In the modern world of cloud computing, there are a number of different tools that we can use to store and analyze massive amounts of data. We are producing more data than ever through our day-to-day activities, and with that comes a need to store, analyze and gain meaningful insights from the data. Today, the currency of a large number of technology companies, is data. You'll gain access to our entire library of on-demand training courses - current and future - for the next 12 months. Take advantage of our SPECIAL OFFER and save 25% on our Annual Membership!