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Description | Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes. Read more | AWS Glue is a serverless data integration platform that makes combining, preparing, and finding data for application development, machine learning, and analytics a breeze. It delivers all of the features required for data integration, allowing you to begin analyzing and putting your data to use in minutes rather than months. To make data integration simpler, AWS Glue offers both code-based and visual interfaces. The AWS Glue Data Catalog allows users to quickly locate and retrieve data. With just limited clicks in AWS Glue Studio, ETL (extract, transform, and load) developers and data engineers can graphically construct, execute, and monitor ETL processes. AWS Glue DataBrew allows data analysts and scientists to visually enhance, clean, and standardize information without writing codes. AWS Glue scans your data sources, recognizes data types, and recommends schemas for storing your data. It produces the code needed to conduct your data transformations and loading operations automatically. AWS Glue makes it simple to perform and manage hundreds of ETL processes, as well as to mix and duplicate data across numerous data stores using SQL. Read more |
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85% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
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AWS Glue is generally praised for its ease of use and integration with other AWS services, particularly for serverless data integration and ETL tasks. Users appreciate the visual interface and the ability to automate processes, saving time and resources. However, there are limitations with Glue's support for non-AWS platforms, and some users find the debugging process and cost management challenging. Overall, while Glue is a powerful tool for data integration, its usability for beginners and cost-efficiency are areas for improvement. |
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Data Engineering Light $0.07 $0.07 Data Engineering $0.15 $0.15 Data Analytics $0.40 $0.40 per month Standard $0.07 $0.07 Premium $0.10 $0.10 Enterprise $0.13 $0.13 Dedicated Custom |
ETL jobs and development endpoints $0.44 $0.44 Data Catalog storage and requests $1.00 $1.00 per month Crawlers and DataBrew interactive sessions $0.44 $0.44 DataBrew jobs $0.48 $0.48 |
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Company Details | Located in: San Francisco, California |
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1-866-330-0121 |
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