RedshiftĪmazon Athena is much quicker to initialize- you can get started straight away by querying data on Amazon S3. Supports data compression at the column-level to conserve storage space and reduce the disk I/O for queries.ĮTL is non-trivial-you'll need to understand particular nuances for loading data efficiently into Redshift with the COPY command.īecause there is no separation of compute and storage, you pay for unused computing resources when you're not analyzing the data. Redshift is linearly scalable to meet growing needs for data storage and querying-simply add more nodes (servers) to scale the service. Amazon Redshift: Pros and ConsĪmazon Redshift is a petabyte-scale data warehouse that handles analytic workloads on large data sets, including business intelligence and OLAP applications.Ī massively parallel processing (MPP) architecture and columnar storage combine to handle complex analytical queries effortlessly. There is no support for user-defined functions (UDFs) in Amazon Athena. You need to contact AWS if you want to increase the limits.
There are limitations on query times, concurrent queries, and Amazon S3 buckets. You can only read data you can't write back to S3. The serverless architecture is a particularly useful advantage of Athena-since AWS abstracts away infrastructural management from the user, operational costs are lower. Simple cost structure, with the price based only on queried data You can query data where it is housed, in its native format Quick and easy to set up because you don't provision computing resources or manage servers-AWS does it for you
With a serverless architecture, AWS dynamically manages the allocation of computing resources in Athena by handling server management and capacity planning decisions for the user. Athena is based on the Presto SQL query engine, enabling you to query data in several formats including JSON, CSV, log files, text with custom delimiters, Apache Parquet, and Apache ORC Amazon Athena - Pros and ConsĪmazon Athena provides serverless querying of stored data on Amazon S3 using standard SQL syntax. When you finish reading, you'll be better informed on whether Athena or Redshift can meet your data needs. This post will help you choose between both services by detailing some pros and cons for Amazon Athena and Amazon Redshift and a comparison in terms of pricing, performance, and user experience. Amazon Athena and Amazon Redshift are cloud-based data services provided by Amazon Web Services.
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