Amazon Web Services (AWS) offers a wide range of data analytics services for organizations of all sizes and industries, including data movement, storage, big data analytics, log analytics, streaming analytics, business intelligence, and machine learning, with purpose-built services that provide high performance and scalability.
We help you utilize Amazon SageMaker for end-to-end ML workflows, encompassing data preprocessing, model training, and deployment.
Partnering with AWS, Polestar provides a comprehensive suite of services for efficient data processing and analysis, empowering organizations to derive actionable insights from their data assets.
Polestar's data engineers specialize in orchestrating and automating data workflows, ensuring robustness and scalability through services like Amazon Glue and Amazon Kinesis. Here's how we can help:
Polestar offers the ability to harness Amazon Redshift's petabyte-scale data warehousing capabilities with columnar storage and parallel processing, complemented by Amazon S3 as a scalable and cost-effective data lake. Which helps you with:
Collaborating with Polestar, we transform outdated data systems into state-of-the-art, cloud-native architectures, utilizing AWS database migration services. We help you with:
Each analytics service is purpose-built for a wide range of analytics use cases such as interactive analysis, big data processing, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations.
Polestar helps you to rationalize your cloud & server spends By reducing Mean Time to Detect (MTTD) & Mean Time To Respond (MTTR), you can focus on fixing problems just as quickly as identifying them.
Ingest & deploy data by leveraging Amazon Kinesis, AWS Import/Export Snowball, AWS Direct Connect, etc. Store your data, in any volume or format, using Amazon Simple Storage Service (S3). Query data across different data sources like databases, data lakes, & data warehouses.
AWS provides built-in ML integration as part of its purpose-built data stores and analytics services, allowing you to create, train, and deploy ML models using familiar languages like SQL.
Access to 100+ libraries and state of the art architectures for agile data engineering and analytics
AWS is committed to providing the best performance at the lowest cost across all analytics services, and we are continually innovating to improve the price performance of our services.
Fastest growing food delivery brand in India revamped their sales analytics application to decrease reporting TAT
Explore Case StudyReduction in Sales Reports processing time
Daily reduction in number of man hours
Transform your Data Storage and Analytics arsenal with the power of AWS
Cost-effective than other cloud data warehouses
Savings on storage cost for data in data lakes
Processing requests per month with Amazon OpenSearch Service