Why use AWS for Data Integration and Automation?

    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.

    • Unmatched availability of Amazon S3 provides the scale, agility, and flexibility required to combine different data and analytics approaches.
    • Build and store your data lakes on AWS to gain deeper insights than with traditional data silos and data warehouses allow.
    • Foundational layer to simplify data integration, management and governance tasks.
    • AWS analytics services are purpose-built to help you quickly extract data insights using the most appropriate tool for the job
    • Optimized to give you the best performance, scale, and cost for your needs.
    • Range of serverless options for data analytics in the cloud including options for data warehousing, big data analytics, real-time data, data integration.
    • AWS managed underlying infrastructure so you can focus on solely on your application.
    • Manage your security, governance, and auditing policies to satisfy industry and geography-specific regulations.
    • Access your data wherever it lives, and keep your data secure no matter where you store it.
    • Built-in ML integration as part of its purpose-built analytics services.
    • Build, train, and deploy ML models using familiar SQL commands, without any prior machine learning experience.
    Shift to real time analytics on the Modern DWH hosted on AWS
    DWH hosted on AWS
    Polestar's AWS Data and Analytics Capabilities
    • Machine Learning
    • Advanced Analytics
    • Data Engineering
    • Data Warehouse/Data Lake
    • Data Modernization

    We help you utilize Amazon SageMaker for end-to-end ML workflows, encompassing data preprocessing, model training, and deployment.

    • Streamline the process of building machine learning models
    • Facilitate data preprocessing, model training, and deployment, all within a unified platform
    • Integrate with other AWS offerings to enhance your applications with ML-driven insights
    • We help you integrate with services like AWS Lambda and Amazon Redshift
    Machine Learning

    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.

    • Facilitates processing vast data volumes via Amazon EMR and real-time streaming with Amazon Kinesis
    • Leverage Amazon QuickSight for interactive, scalable business intelligence
    • AWS Glue ensures seamless ETL tasks, enabling data integration from diverse sources
    • Utilize AWS Advanced Analytics to process, analyze, and visualize data at scale
    Advanced Analytics

    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:

    • Implement automated workflows to streamline data pipelines and increase efficiency
    • Scale your data infrastructure effortlessly to accommodate growing demands
    • Ensure data integrity by employing rigorous validation and quality checks
    • Maintain high availability of your data systems through robust fault tolerance mechanisms.
    Data Engineering

    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:

    • Leverage Amazon Redshift for petabyte-scale data warehousing
    • Enable advanced analytics and machine learning on your data with ease
    • Harness parallel processing for faster query execution
    • Seamlessly integrate with other AWS services for comprehensive data management
    Data Warehouse/Data Lake

    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:

    • Leverage AWS Schema Conversion Tool for efficient architecture transformation
    • Employ Amazon Lambda for serverless code execution
    • Access advanced insights using AWS-native data services
    • Migrate on-premises databases to the cloud effortlessly
    Data Modernization
    AWS's Cloud-Powered Excellence
    Ready to Elevate Your Business with AWS's Cloud-Powered Excellence?
    • Enjoy AWS's elastic scalability for a responsive and efficient IT infrastructure.
    • Leverage AWS's comprehensive suite of services for streamlined end-to-end data management.
    • Ensure data integrity and availability with AWS's globally distributed and secure cloud architecture.
    • Optimize resource utilization and costs through AWS's advanced cloud computing solutions.
    Simplifying Data Automation with AWS
    Broadest selection of analytics services
    Broadest selection of analytics services

    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.

    Reduce downtime & improve capacity utilization
    Reduce downtime & improve capacity utilization

    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.

    Rapid deployment and scalability
    Rapid deployment and scalability

    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.

    Platform integration
    Platform integration

    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.

    Rich ML libraries
    Rich ML libraries

    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.

    Client Success Stories
    Streamlines Sales Data And Reporting System With AWS And Power BI

    Fastest growing food delivery brand in India revamped their sales analytics application to decrease reporting TAT

    Explore Case Study
    • 90%

      Reduction in Sales Reports processing time

    • 2230

      Daily reduction in number of man hours

    Transform your Data Storage and Analytics arsenal with the power of AWS

    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

    100 Tn

    Processing requests per month with Amazon OpenSearch Service

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    Polestar Services