Microsoft Azure |
| 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 Lake Formation is a service that allows users to easily create a secure data lake. Lake Formation makes it simple to gather and categorise the information from databases and object storage, then transfer it into a new data lake where it can be cleaned and sorted. It greatly benefits individuals by allowing them to easily create data lakes and convert data into forms that allow for speedier analyses. Furthermore, the programme offers a single location for all users and services accessing the data to set and enforce access rules that function at the table, column, row, and cell levels. User policies are executed consistently, removing the need to manually set them across multiple security and storage services, significantly reducing policy configuration work. In addition, the programme creates a data catalogue that lists all of the datasets accessible and who has access to them. This increases user productivity by assisting them in locating the appropriate dataset to examine. Read more |
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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 |
AWS Lake Formation Custom |
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| Company Details | Located in: San Francisco, California | Located in: Seattle, Washington |
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1-866-330-0121 |
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What are the key differences between Databricks and AWS Lake Formation?
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