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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 | Keboola runs a complete data stack as a service, all from one place. Everything works seamlessly together and the process is fully observable. A dataops platform built to set up data practitioners for success Read more |
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88% 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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User-Friendly Interface, Extensive Integrations, Excellent Customer Support, Comprehensive Documentation New UI UX Issues, Limited Orchestration Features, Uninformative Error Messages, Complex Custom Extractor Creation |
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User reviews for Keboola highlight its ease of use, extensive connector library, and exceptional customer support. Users praise the platform's ability to streamline data extraction, transformation, and loading tasks, especially for beginners. Some users mention the platform's intuitive interface and robust documentation, while others express a preference for the older UI. Although Keboola is generally well-received, some users point to limitations in complex orchestrations, data lineage visualization, and a lack of local development support. Overall, Keboola garners positive sentiment for its user-friendly approach to data integration, but users may need to consider its limitations for large-scale projects. |
| Read All User Reviews | Read All User Reviews |
AI-Generated from the text of User Reviews
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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 |
Free Tier Free Enterprise Custom |
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| Company Details | Located in: San Francisco, California | Located in: Prague, Czech Republic Founded in: 2008 |
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1-866-330-0121 |
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