Analytics

Amazon Athena

Athena is an serverless, interactive query service that makes it easy to analyse data in S3 using standard SQL.
With Athena, there’s no need for complex extract, transform, and load (ETL) jobs to prepare your data for analysis.
Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services.
You can also use Glue’s fully-managed ETL capabilities to transform data or convert it into columnar formats to optimize cost and improve performance.

Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch to search, analyze, and visualize data in real-time.
Use-cases such as log analytics, full-text search, application monitoring, and clickstream analytics, with enterprise-grade availability, scalability, and security.
Search for partial matches as well.

Kinesis makes it easy to collect, process, and analyse real-time, streaming data so you can get timely insights and react quickly to new information.
With Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.
Amazon Kinesis enables you to process and analyse data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Kinesis Data Firehose, Kinesis Data Analytics, Kinesis Data Streams, and Kinesis Video Streams.

Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyse all your data across your data warehouse and data lake.
You can run queries across petabytes of data in your Redshift data warehouse, and exabytes of data in your data lake built on S3.

Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.

Last updated 4 years ago