Amazon Timestream vs InterSystems IRIS Data platform: What are the differences?

What is Amazon Timestream? Fast, scalable, serverless time series database. It is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. It saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies.

What is InterSystems IRIS Data platform? Cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language.

It includes an Interoperability engine and modules to build AI solutions. It provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup. .

Amazon Timestream and InterSystems IRIS Data platform belong to "Databases" category of the tech stack.

Some of the features offered by Amazon Timestream are:

• High performance at low cost
• Serverless with auto-scaling
• Data lifecycle management

On the other hand, InterSystems IRIS Data platform provides the following key features:

• Access Controls/Permissions
• Data Dictionary Management
• Data Replication