We provide the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real-time
Amazon Kinesis enables businesses to analyze and process data as it arrives, responding instantly instead of waiting until all your data is gathered before the processing can begin. Amazon Kinesis offers various capabilities for cost-effective processing and streaming of data at any scale, along with the flexibility to choose the best-suited tools for the application requirements. With Amazon Kinesis, you can consume real-time data like audio, video, website clickstreams, application logs, and advanced IoT telemetry data for ML, AI-powered data analytics, and other applications.
Redshift makes it easy, simple, and cost-effective to execute high-performance queries on petabytes of voluminous structured data, to help you build powerful reports and dashboards with the existing business intelligence tools and technologies. Pay for storage and compute separately for the optimal storage amount for computing diverse workloads. Choose the volume of your Redshift cluster based on congruent performance metrics, and only pay for the storage space you use. You pay as you scale up.
Using Amazon Aurora, you don’t have to depend on the procurement and provisioning of infrastructure, and your service provider doesn’t need to free up DBA’s. Amazon Aurora helps businesses cut down database costs by over 90% while ensuring the reliability and availability of the database. Amazon Aurora is a fully managed service that saves you time by task automation, which includes patching, provisioning, recovery, backup, repair, and failure detection. Save costs on maintaining your cloud infrastructure effectively.
Build applications with virtually unlimited storage and throughput. Amazon DynamoDB allows you to pay only for the capacity required by you and maintains precious technical resources dedicated to innovation over the operation.
AWS Lambda runs responsive code to events to provide functional computation services, streamlining serverless backend operations that power up the cloud application. We can fully automate code for virtually any mode of application or backend service requirement.
Build and publish interactive dashboards which include powerful ML insights. Dashboards can be remotely accessed from any device, and are easily embedded into your applications, websites, and portals.
Using Amazon SageMaker, developers, data engineers, and data scientists can build and train machine learning models quickly, to then deploy programs into a production-ready environment. By decoupling your runtime environment across development, training, and deployment, SageMaker allows you to scale each function separately and optimize your time and costs.