Category: aws

Feature Amazon CloudSearch Amazon OpenSearch Core Use Case Simple search use cases (e-commerce, content, logs) Complex search and analytics (logs, metrics, BI, APM) Customizability Limited customization Full customization (advanced ranking, scoring) Search Features Full-text, faceted search, geo-spatial search Full-text, faceted, geo-spatial, advanced querying, analytics Machine Learning Integration No ML features Supports ML (e.g., anomaly detection,…

Amazon CloudSearch is a fully managed search service that allows you to integrate powerful search functionality into your websites, applications, and other platforms. It is designed to simplify the process of creating, managing, and scaling search capabilities for large amounts of data. With CloudSearch, you can build custom search engines to search structured, semi-structured, and…

Amazon OpenSearch Service (formerly Amazon Elasticsearch Service) is a fully managed service that makes it easy to deploy, operate, and scale OpenSearch clusters for searching, analyzing, and visualizing your data in real-time. OpenSearch is an open-source, distributed search and analytics engine designed for handling large volumes of data with low-latency queries. OpenSearch is commonly used…

Amazon QuickSight is a scalable business intelligence (BI) service that allows you to create interactive dashboards, visualize data, and perform ad-hoc analysis on large datasets. It is a fully managed service, meaning that it eliminates the need for infrastructure management, while offering powerful insights into your data with rich visualization options. QuickSight integrates seamlessly with…

Amazon Athena is an interactive, serverless query service that allows you to analyze data stored in Amazon S3 using standard SQL. Athena is fully managed and does not require any infrastructure to be set up or maintained. You can start querying your data immediately, without the need for provisioning or managing servers. Athena is designed…

Amazon MSK is a fully managed service that makes it easy to build and run applications that use Apache Kafka for real-time streaming data. Kafka is an open-source distributed event streaming platform that enables you to publish, subscribe, store, and process streams of records in real time. With MSK, AWS handles the operational complexity of…

Kinesis Data Streams vs. Kinesis Data Firehose Feature Kinesis Data Streams Kinesis Data Firehose Purpose Real-time streaming data ingestion and custom processing. Simplified, fully managed streaming data delivery to destinations. Primary Use Case Custom applications for real-time analytics or ETL. Automated data delivery to storage or analytics services like S3, Redshift, etc. Processing Requires custom…

Amazon Kinesis vs Amazon MSK (Managed Streaming for Apache Kafka) Feature Amazon Kinesis Amazon MSK (Managed Streaming for Apache Kafka) Description Fully managed real-time data streaming platform by AWS. Fully managed service for running Apache Kafka (open-source distributed messaging system). Primary Use Case Real-time streaming and analytics for applications. Message queueing, pub/sub messaging, and distributed…

Amazon Kinesis is a set of services designed for real-time data streaming, processing, and analytics. It enables users to collect, process, and analyze streaming data in real-time, such as logs, IoT data, social media feeds, or clickstream data. Key Components of Amazon Kinesis Amazon Kinesis has four main services, each serving different use cases for…

Feature AWS Glue Amazon EMR Description A fully managed ETL service for data preparation, transformation, and cataloging. A fully managed big data processing platform for running Hadoop, Spark, and other distributed frameworks. Primary Use Case ETL, data preparation, data cataloging. Big data processing, analytics, and real-time stream processing. Technology Stack Built on Apache Spark for…