![]() ![]() Athena can connect to Redis, Elasticsearch, HBase, DynamoDB, DocumentDB, and CloudWatch. AWS Athena IntegrationsĪthena has prebuilt connectors that let you load data from sources other than Amazon S3. However, you can only analyze data in the same AWS region.Īrrange for a call with Integrate.io to discover the most suitable query engine to optimize your data management processes. ![]() According to tests, columnar formats have shown cost-effectiveness and faster performance compared to row-based file formats.Īdditionally, several Redshift clusters can access the same data lake simultaneously. These include maintained scheme visioning and ETL capabilities of converting data into columnar file formats for faster analytics workloads. You can use AWS Glue Data Catalog as the metadata repository for AWS Redshift Spectrum, which serves as a trusted data storage across your network.Īmazon recommends that AWS Athena users upgrade their internal data catalog with AWS Redshift Spectrum to AWS Glue, which can help optimize cost and performance in the long term through improved capabilities. Thus, if you want extra-fast results for a query, you can allocate more computational resources to it when running Redshift Spectrum.ĪWS Redshift Spectrum and AWS Athena are compatible with AWS Glue, the serverless computing platform provided as a part of Amazon’s web services. When using Spectrum, you have control over resource allocation since the size of resources depends on your Redshift cluster. Thus, performance can be slow during peak hours. You do not have control over resource provisioning. In the case of Athena, the Amazon Cloud automatically allocates resources for your query. With Redshift Spectrum, on the other hand, you need to configure external tables for each external schema.Ī key difference between Redshift Spectrum and Athena is resource provisioning. However, in the case of Athena, it uses Glue Data Catalog's metadata directly to create virtual tables. They use virtual tables to analyze data in Amazon S3. AWS Athena: Which One to Choose?īoth the services use Glue Data Catalog for managing external schemas. AWS Athena Use CasesĪWS Amazon Redshift Spectrum vs. AWS Athena Cost ComparisonĪWS Redshift Spectrum vs. AWS Athena IntegrationsĪWS Redshift Spectrum vs. There is no need to manage any infrastructure.įunctionality and Performance Comparison for AWS Redshift Spectrum vs. ![]() Much like Redshift Spectrum, Athena is serverless. It makes it possible, for instance, to join data in external tables with data stored in Amazon Redshift to run complex queries.įor more information on Integrate.io's native Redshift connector, visit our Integration page.Īmazon Athena, on the other hand, is a standalone query engine that uses SQL to directly query data stored in Amazon S3. The service allows data analysts to run queries on data stored in S3. Redshift Spectrum is an extension of Amazon Redshift. Let's take a closer look at the differences between Amazon Redshift Spectrum and Amazon Athena. However, the two differ in their functionality. You don't need to maintain any infrastructure, which makes them incredibly cost-effective. Redshift Spectrum needs cluster management, while Athena allows for a truly serverless architecture.Īt a quick glance, Redshift Spectrum and Athena seem to offer the same functionality - serverless query of data in Amazon S3 using SQL. Redshift Spectrum is more suitable for running large, complex queries, while Athena is more suited for simplifying interactive queries. Redshift Spectrum can be more consistent performance-wise while querying in Athena can be slow during peak hours since it runs on pooled resources. The performance of Redshift Spectrum depends on your Redshift cluster resources and optimization of S3 storage, while the performance of Athena only depends on S3 optimization. With Redshift Spectrum, you have control over resource provisioning, while in the case of Athena, AWS allocates resources automatically. Redshift Spectrum runs in tandem with Amazon Redshift, while Athena is a standalone query engine for querying data stored in Amazon S3. 6 Comparisons Between AWS Redshift Spectrum and AWS Athena ![]()
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