Fast and general engine for large-scale data processing
Open-source Fast and Flexible Great for distributed SQL like applications Easy to install and to use
Fast and reliable large-scale data processing engine
Unified batch and stream processing Out-of-the box connector to kinesis,s3,hdfs Easy to use streaming apis
Query S3 Using SQL
Use SQL to analyze CSV files Glue crawlers gives easy Data catalogue Cheap No data base servers yay
Fast column-oriented distributed data store
Real Time Aggregations OLAP Batch and Real-Time Ingestion OLTP
Distributed SQL Query Engine for Big Data
Works directly on files in s3 (no ETL) Open-source Join multiple databases Scalable
Real-time Query for Hadoop
Super fast
Platform for analyzing large data sets
Open-source Proven at Petabyte scale Join optimizations for highly skewed data Finer-grained control on parallelization
Fully managed extract, transform, and load (ETL) service
Exabyte-Scale In-Place Queries of S3 Data
Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform
Realtime Analytics
OLAP Engine for Big Data
OLAP on Hadoop Star schema and snowflake schema support Sub-second latency on extreme large dataset Seamless BI integration
Simple, Composable, Open Source ETL
Open source virtualization platform for Hadoop data and apps
Store, search, rank and organize big data
A GPU-powered real-time analytics storage and query engine (by Uber)
Lambda functions over S3 objects: each, map, reduce, filter
The database for large-scale event analytics
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A lightweight ETL framework