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Matillion vs StreamSets: What are the differences?

  1. ** Scalability: ** Matillion offers horizontal scalability where you can add more nodes to the cluster, while StreamSets scales both vertically and horizontally enabling efficient resource utilization based on the workload.
  2. ** Ecosystem Integrations: ** Matillion specializes in integrating with cloud data warehouses such as Redshift, Snowflake, and BigQuery, whereas StreamSets has a broader range of connectors for various data sources like databases, cloud services, and data lakes.
  3. ** Transformation Complexity: ** Matillion provides a user-friendly drag-and-drop interface for data transformation, which simplifies the process for non-technical users; StreamSets offers more robust transformation capabilities but may require more technical expertise to utilize effectively.
  4. ** Job Orchestration: ** Matillion has robust job scheduling and orchestration features within its platform, while StreamSets leans more towards streaming data pipelines and may require external tools for advanced job scheduling.
  5. ** Cost Structure: ** Matillion typically follows a subscription-based pricing model which can be more predictable for budgeting, whereas StreamSets may have a more flexible pricing structure based on usage and connectors, which could be advantageous depending on the organization's needs.

In Summary, Matillion focuses on scalable cloud data warehouse integrations with user-friendly transformation interfaces, while StreamSets offers a broader range of data connectors and more advanced transformation capabilities at possibly varying cost structures.

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    What is Matillion?

    It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.

    What is StreamSets?

    An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.

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    What are some alternatives to Matillion and StreamSets?
    Talend
    It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
    Alooma
    Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.
    AWS Glue
    A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
    Stitch
    Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    See all alternatives