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    Data Automation Cloud

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    Sold by: Ascend 
    Use the Ascend enterprise-grade data engineering platform to ingest, build, run and govern data pipelines with 95% less code. It openly integrates with most data sources and AI / ML platforms for automated end-to-end data operations.

    Overview

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    Built for data data engineers by data engineers to evolve modern data pipelines beyond complex ETL and brittle solutions, the Ascend Data Automation Cloud boosts data teams to drive innovation and deliver insights 10x faster than their competition. Ascend's DataAware™ core tunes pipelines for optimal efficiency and dynamically adapts to changes in data, code, and environment.

    Highlights

    • Ascend.io enables engineers, analysts and data scientists to swiftly build and run data pipelines, driving the use of data within the business. Even citizen data users can ingest data faster and significantly improve productivity.
    • Ascend continuously optimizes data pipelines and infrastructure with dynamic resourcing, proactive data persistence, advanced de-duplication, and automatic backfills. It continuously monitors code and data, and keeps pipelines up-to-date and running.
    • Ascend.io automates the full lifecycle of modern pipelines, from ingestion through to delivery, with fully automated governance and optimization. Pipelines no longer require deep programming skills in Spark, scripting tools, or various notebooks.

    Details

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    Delivery method

    Deployed on AWS

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    Features and programs

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    Pricing

    Data Automation Cloud

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    Dimension
    Cost/unit
    Ascend Usage (Each unit is 1 cent of usage)
    $0.01

    Vendor refund policy

    Please see seller website for refund details.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    50
    In ELT/ETL
    Top
    50
    In Databases & Analytics Platforms, Databases, Data Analytics
    Top
    10
    In Container Workloads

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

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    AI generated from product descriptions
    Data Pipeline Automation
    Enables automated end-to-end data pipeline creation with minimal code requirements
    Dynamic Resource Optimization
    Continuously optimizes data pipelines and infrastructure with dynamic resourcing and proactive data persistence
    Multi-Platform Integration
    Openly integrates with most data sources and AI/ML platforms for comprehensive data operations
    Advanced Data Processing
    Implements automatic backfills, advanced de-duplication, and continuous monitoring of code and data
    Governance Framework
    Provides fully automated governance across the entire data pipeline lifecycle from ingestion to delivery
    Data Warehouse Technology
    Built on ClickHouse, a high-performance columnar database management system
    Real-time Data Ingestion
    Capable of ingesting millions of events per second from over 100 data sources including Snowflake, Kafka, S3, and Databricks
    Data Pipeline Management
    Supports declarative code-based pipeline definition with version control and CI/CD integration
    AI-Powered Data Transformation
    Automatically converts unstructured data like documents and logs into queryable SQL tables
    API Query Generation
    Enables direct transformation of SQL queries into scalable API endpoints without additional backend development
    Workflow Orchestration
    Advanced platform for automating and monitoring data pipelines with real-time visibility and performance tracking
    Pipeline Management
    Supports ETL/ELT workflows with automated error recovery and seamless cloud environment integration
    Machine Learning Optimization
    Enables scalable machine learning workflow management with data movement and performance enhancement capabilities
    Python-Native Development
    Workflow creation and management directly implemented using Python with minimal code complexity
    Observability Framework
    Comprehensive system for visualizing data workflows, identifying bottlenecks, and ensuring reliability across entire data infrastructure

    Contract

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    Standard contract
    No
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