Amazon S3 is secure, highly scalable, durable object storage with millisecond latency for data access. Amazon S3 is built to store any type of data from anywhere – web sites and mobile apps, corporate applications, and data from IoT sensors or devices. It is built to store and retrieve any amount of data, with unmatched availability, and built from the ground up to deliver 99.999999999% (11 nines) of durability. Amazon S3 Select focuses data read and retrieval, reducing response times up to 400%. Amazon S3 provides comprehensive security and compliance capabilities that meet even the most stringent regulatory requirements.  

Amazon S3 Glacier is secure, durable, and extremely low cost storage for long-term backup and archive that can access data in minutes, and similarly Amazon S3 Glacier Select reads and retrieves only the data needed. It is designed to deliver 99.999999999% durability (11 nines), and provides comprehensive security and compliance capabilities that can help meet even the most stringent regulatory requirements. Customers can store data for as little as $0.004 per gigabyte per month, a significant savings compared to on-premises solutions.

AWS Glue is a fully managed service that provides a data catalog to make data in the data lake discoverable, and has the ability to do extract, transform, and load (ETL) to prepare data for analysis. The data catalog is automatically created as a persistent metadata store for all data assets, making all of the data searchable, and queryable in a single view.

AWS offers the broadest set of analytic tools and engines that analyzes data using open formats and open standards. You get to store your data in the standards-based data format of your choice such as CSV, ORC, Grok, Avro, and Parquet, and the flexibility to analyze the day in a variety of ways such as data warehousing, interactive SQL queries, real-time analytics, and big data processing. The breadth of analytics services that you can use with your data in AWS, ensures that your needs will be met for your existing and future analytics use cases.

Amazon S3 is built to store and retrieve any amount of data, with unmatched availability, and built from the ground up to deliver 99.999999999% (11 nines) of durability. It is the only storage offering that can store your data in multiple data centers across three availability zones within a single AWS Region for unmatched resilience to single data center issues, and the only storage offering that seamlessly replicates data between any regions.

Amazon S3 is the only cloud storage platform that allows you to apply access, log, and audit policies at the account and object level. Amazon S3 provides automatic server-side encryption, encryption with keys managed by the AWS Key Management Service (KMS), and encryption with keys that you manage. Amazon S3 encrypts data in transit when replicating across regions, and lets you use separate accounts for source and destination regions to protect against malicious insider deletions. To proactively detect early stages of an attack, Amazon Macie, an ML powered security service monitors data access activity for anomalies, and generates detailed alerts when it detects risk of unauthorized access or inadvertent data leaks.

Data lakes built on AWS are the most cost-effective. Data that is infrequently used can be moved to Amazon S3 Glacier which provides long-term backup and archive at very low costs. Amazon S3 management capabilities can analyze object access patterns to move infrequently used data to Amazon S3 Glacier on-demand or automatically with lifecycle policies. You can begin querying the data with Amazon Athena for as little as $0.005/GB queried. Other analytics and machine learning services are priced with a pay-as-you-go approach for the resources you consume.

AWS analytic services like Amazon Redshift and Amazon Athena were built for fast interactive query performance to support large numbers of concurrent interactive queries. When running AWS' broad portfolio of analytics and machine learning services using Amazon S3 Select, only the subsets of data that are needed within objects are returned, leading to much faster queries up to 400% faster, and at a dramatically lower cost. Amazon S3 Glacier Select provides a similar capability allowing you to retrieve archived data faster, and allowing you to extend your analytical capability over your data lake to include archival storage.  

The AWS Partner Network (APN) has twice as many partner integrations than anyone else, with tens of thousands of partners, including consulting and independent software vendors, from all across the globe. This makes it easy to work and integrate with many of the same tools you use and love today. Data Lake Quick Starts, developed by AWS solution architects and partners, help you build, test, and deploy Data Lake solutions based on AWS best practices for security and high availability, in a few simple steps.