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    PiByThree Pi-Ingest - Fast, Scalable & Compliant ETL

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    π- Ingest enables the creation of fully automated pipelines that comply with regulations within AWS; there’s nothing else to install, no need for third-party tools and license costs. Designed for businesses looking for a simple solution when transferring their data, whether that be complete or partial loads, all done in real time.

    Overview

    Being natively developed for AWS, π-Ingest is an all-in-one end-to-end solution for performing ETL jobs using native Amazon S3, Fargate, ECS, Redshift, Lambda, and Athena integration, providing users with a comprehensive toolkit for extracting, transforming, and managing data without any use of external third-party services.

    Using intelligent algorithms and sophisticated data processing logic, π-Ingest enables data loading and processing automation, as well as dynamic load adjustment and parallel execution to process vast amounts of data without any infrastructure involvement or third-party solutions.

    Monitoring and auditing all operations in real-time is provided by default, ensuring data traceability and compliance with GDPR, CCPA, and SOC 2 standards with zero configuration required. With automatic error detection and handling, less than 1% failures per pipeline run, and no licensing fees involved, π-Ingest eliminates any manual work needed for running ETL pipelines.

    If you are planning to migrate data warehouses, create real-time analytics data pipelines, or replace old-fashioned ETL with modernized pipelines for AWS, then π-Ingest can deliver what you need with ease and efficiency.

    Highlights

    • 100% AWS-Native, Zero Extra Cost Runs entirely within your AWS environment using S3, Fargate, ECS and Lambda - no third-party tools, no additional licensing fees. Replaces costly ETL platforms and VM overhead with a single solution that runs on your existing cloud spend.
    • Automated, High-Throughput Ingestion Handles full and incremental data loads with intelligent load adjustment strategies and parallel processing that scales automatically with data volume - no manual intervention, no infrastructure overhead
    • Enterprise-Grade Reliability & Compliance Sub-1% pipeline failure rates, self-healing error handling, and real-time monitoring with live dashboards and instant alerts - backed by comprehensive audit logs.

    Details

    Delivery method

    Deployed on AWS
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