Databases on AWS the Right Tool for the Right Job

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Databases on AWS The Right Tool for the Right Job

David Gendel, Sr. Solutions Architect, AWS Wednesday, February 17, 2021

Client Tier

one database App/Web Tier for all workloads RDBMS

• Key-value access Client Tier • Complex queries • OLAP transactions App/Web Tier • Analytics RDBMS All forced into the relational database

Data Tier Cache Data Warehouse Time Series Blob Store

NoSQL RDBMS Quantum Ledger Search

© 2021, Amazon Web Services, Inc. or its Affiliates. Workload Driven Data Store Selection hot reads analytics logging NoSQL complex queries Periodic rich search simple query & transactions data Graph / Key Value / Document Untampered data Data Tier

Cache Data Warehouse Time Series Blob Store

NoSQL RDBMS Quantum Ledger Search

© 2021, Amazon Web Services, Inc. or its Affiliates. AWS Database Services hot reads analytics logging NoSQL complex queries Periodic rich search simple query & transactions data Graph / Key Value / Document Untampered data Data Tier Amazon Amazon Amazon Amazon S3 ElastiCache Redshift Timestream

Amazon DynamoDB Amazon Amazon Amazon Neptune / DocumentDB RDS QLDB ElasticSearch

Amazon RDS Available and Durable Secure

Easy to administer Performant & scalable Available & durable Secure and compliant

Easily deploy and maintain Scale compute Automatic Multi-AZ data Data encryption at rest and in hardware, OS and DB and storage with a few clicks; replication; automated transit; industry compliance software; built-in monitoring minimal downtime for your backup, snapshots, and and assurance programs application failover

MySQL and PostgreSQL compatible relational database built for the cloud Performance and availability of commercial-grade databases at 1/10th the cost

Performance Availability Highly Fully & scalability & durability secure managed 5x throughput of standard Fault-tolerant, self-healing Network isolation, Managed by RDS: no MySQL and 3x of standard storage; six copies of encryption at hardware provisioning, PostgreSQL; scale-out up data across three AZs; rest/transit software patching, setup, to15 read replicas continuous backup to S3 configuration, or backups

First relational database service with scale-out reads and writes across multiple data centers

Scale out both reads and writes

Zero application downtime from ANY instance failure

Zero application downtime from ANY AZ failure Read/Write Read/Write Read/Write Master 1 Master 2 Master 3 Faster write performance and higher scale

Shared distributed storage volume

Availability Availability Availability Zone 1 Zone 2 Zone 3

Application Starts up on demand, shuts down when not in use Database Endpoint Automatically scales with no instances to manage Scalable Database Capacity (Compute + Memory) Warm Capacity Pool Pay per second for the database capacity you use

Shared Distributed Storage

Amazon Columnar Store Redshift Relational data warehouse Fully managed = no admin

Fast Inexpensive Scalable Secure $

Columnar storage As low as $1000 per Resize your cluster up Data encrypted at rest technology to improve I/O terabyte per year, and down as your and transit. Isolate efficiency and parallelize 1/10th the cost of performance and clusters with VPC. queries. Data load scales traditional data capacity needs change Manage your own keys linearly. warehouse solutions with KMS

Run SQL queries directly against data in S3 using thousands of nodes

High concurrency: Multiple No ETL: Query data in-place Full Amazon Redshift SQL support clusters access same data using open file formats

S3 SQL

Fast at exabyte scale Elastic and highly available On-demand, pay-per-query

Amazon DynamoDB Single-digit millisecond latency Multi-Master Multi-Region

Highly available Fully managed Consistently fast at any scale and durable

Integrates with AWS Lambda, Secure Cost-effective Amazon Redshift, and more

Designed to support Built for high durability 99.99% of availability

WRITES READS

3-way replication Strongly or eventually consistent Persisted to disk No latency trade-off (Custom SSD) Data is always replicated to three Availability Zones

Amazon Built-in analytics Timestream Serverless

1,000x faster at 1/10th Analytics optimized Trillions of daily events Serverless the cost of relational for time series data databases

Collect fast moving time- Capable of processing trillions Built-in analytics for No servers to manage; time- series data from multiple of events daily; the adaptive interpolation, smoothing, consuming tasks such as hardware sources at the rate of query processing engine and approximation to provisioning, software patching, millions of inserts per maintains steady, predictable identify trends, patterns, setup, & configuration done for you second performance and anomalies

Amazon Aurora Amazon DocumentDB Amazon DynamoDB Amazon ElastiCache (with MongoDB compatibility)

Amazon Redshift AWS Database Amazon Neptune Amazon Quantum Migration Service Ledger Database (QLDB)

Amazon RDS Amazon Timestream DB on EC2 instance