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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Data Pipeline (legacy)

    Score6 out of 10
    N/AAWS Data Pipeline was a web service used to automate the movement and transformation of data. The product is closed to new customers, and currently is in maintenance mode.N/A

    Infoveave

    N/AN/AInfoveave is a unified data platform designed for data pipeline automation, data quality management, predictive analytics, and operational execution. It consolidates the data lifecycle—from ingestion and transformation to governance, analytics, and execution—into a single environment. The platform includes data lineage tracking, metadata management, row-level security, and audit trails. Key Features Fovea (Agentic AI Assistant): An embedded AI assistant that…N/A
    Pricing
    AWS Data Pipeline (legacy)Infoveave
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    AWS Data Pipeline (legacy)Infoveave
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    AWS Data Pipeline (legacy)Infoveave
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Apache Spark
    Score8.8 out of 10
    Apache Spark
    Score8.8 out of 10
    Enterprises
    Apache Spark
    Score8.8 out of 10
    Apache Spark
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS Data Pipeline (legacy)Infoveave
    Likelihood to Recommend
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    AWS Data Pipeline (legacy)Infoveave
    Likelihood to Recommend
    Discontinued Products
    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
    Incentivized
    Read full review
    Noesys Software Pvt. Ltd
    No answers on this topic
    Pros
    Discontinued Products
    • Helps you easily create complex data processing workloads
    • Fault tolerant
    • Highly available
    Incentivized
    Read full review
    Noesys Software Pvt. Ltd
    No answers on this topic
    Cons
    Discontinued Products
    • Pipeline Stuck in Pending Status
    • Pipeline Component Stuck in Waiting for Runner Status
    • EMR Cluster Fails With Error
    Incentivized
    Read full review
    Noesys Software Pvt. Ltd
    No answers on this topic
    Alternatives Considered
    Discontinued Products
    AWS data pipelines are easy to use over data factory for data engineers
    Incentivized
    Read full review
    Noesys Software Pvt. Ltd
    No answers on this topic
    Return on Investment
    Discontinued Products
    • Easy to use
    • Data engineers are able to create the data pipelines quickly and effectively
    • Scalable and Fault tolerant
    Incentivized
    Read full review
    Noesys Software Pvt. Ltd
    No answers on this topic
    ScreenShots

    Infoveave Screenshots

    Screenshot of Unifies data from multiple sources into a single, integrated platform.
Transforms it into real-time dashboards, reports, and actionable insights.
Powered by AI to enable faster decisions and automated workflows.Screenshot of Unified data platform with real-time dashboards and a single source of truth.
Agentic AI lets users query data in natural language and get instant insights.
Enables faster, smarter, and automated decision-making.Screenshot of Automates end-to-end data workflows across multiple systems in a unified pipeline.
Enables seamless data integration, transformation, and processing without manual effort.
Ensures consistent, real-time data flow for analytics and decision-making.Screenshot of Ensures data quality through automated validation and rule-based checks.
Identifies inconsistencies, errors, and duplicates across datasets.
Maintains accurate, reliable data for trusted analytics and decision-making.Screenshot of Provides centralized monitoring of workflow execution and status.
Tracks scheduled, running, and completed workflows with real-time visibility.
Enables quick identification of failures and ensures smooth operations.