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AWS Lake Formation vs Amazon EMR vs Databricks Lakehouse Platform - Which Tool Fits Your Business?

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TL;DR - Quick Comparison Summary

Description

AWS Lake Formation is a powerful tool that simplifies the process of gathering, categorizing and transferring secure data from databases and object storage to a data lake. This programme ... Read More

Introducing Amazon EMR, the leading big data platform in the cloud. With a powerful combination of open-source tools such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto, EMR makes it ... Read More

Introducing the cutting-edge Databricks Lakehouse Platform, boasting the latest in data science and machine learning capabilities. This innovative platform seamlessly merges the strengths ... Read More

Entry Level Pricing

  • Not Available
  • Starts from $0.04
  • Not Available

Free Trial Availability

  • No free trial
  • No free trial
  • Free Trial available

User Ratings

4.3

(3)

4.2

(93)
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Software Demo

Demo

How do AWS Lake Formation, Amazon EMR and Databricks Lakehouse Platform Compare on Features?

Total Features

9 Features

0 Features

0 Features

Unique Features

    No features

    No features

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    What Do AWS Lake Formation, Amazon EMR and Databricks Lakehouse Platform Cost?

    Pricing Option

          Starting From

          • Not Available
          • $0.04
          • Not Available

          Pricing Plans

          • Not Available
          • Not Available
          • Not Available

          Other Details

          Organization Types supported

          • Large Enterprises
          • Small Business
          • Medium Business
          • Large Enterprises
          • Small Business
          • Medium Business
          • Large Enterprises
          • Small Business
          • Medium Business

          Platforms Supported

          • Browser Based (Cloud)
          • Browser Based (Cloud)
          • Browser Based (Cloud)
          • Browser Based (Cloud)
          • Browser Based (Cloud)
          • Browser Based (Cloud)

          Modes of support

          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online

          API Support

          • Not Available
          • Available
          • Not Available
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          AWS Lake Formation vs Amazon EMR User Reviews & Rating Comparison

          User Ratings

          No reviews available for the product

          Rating Distribution

          Excellent

          24

          Very Good

          26

          Good

          0

          Poor

          0

          Terible

          0

          Excellent

          38

          Very Good

          22

          Good

          1

          Poor

          1

          Terible

          1

          No reviews available for the product

          Expert's Review generated by AI

          No Expert ai Review available for the product

          Amazon EMR stands out as a versatile and powerful solution for running a variety of applications like Apache Spark, Flink, and Trino in a streamlined manner. Users commend its ease of launching ...Read more

          No Expert ai Review available for the product

          Pros and Cons

          Pros and Cons of AWS Lake Formation

          Pros and Cons of Amazon EMR

          • Ease of launching or cloning EMR clusters and scaling based on various parameters like containers, CPU, etc.

          • Supports widely used applications like Spark, Hive, Hadoop, Flink, etc.

          • Provides easy configuration control and debugging support.

          • Improved workloads' speed leading to more time for code refinement.

          • Working with Spot instances can be complicated, especially during unavailability.

          • Lack of features like auto-completion in the notebook interface.

          Pros and Cons of Databricks Lakehouse Platform

          Positive Reviews

          No reviews available for the product

          No reviews available for the product

          No reviews available for the product

          List of Customers

          Customers

          Panasonic

          Panasonic

          Zalando

          Zalando

          Life360

          Life360

          Expedia

          Expedia

          Nasdaq

          Nasdaq

          Finra

          Finra

          T-Mobile

          T-Mobile

          HSBC

          HSBC

          H

          H

          Media and Screenshots

          Screenshots

          Lake Formation Blueprint Incremental

          2 Screenshots

          No screenshots available.

          Overview

          1 Screenshots

          Videos

          video-0

          2 Videos

          video-0

          3 Videos

          video-0

          1 Videos

          Alternatives

          Alternatives

          No Alternative products available.

          Add to Compare

          Compare similar softwares

          No Alternative Products ☹️

          Frequently Asked Questions (FAQs)

          Stuck on something? We're here to help with all the questions and answers in one place.

          Neither AWS Lake Formation nor Amazon EMR offers a free trial.

          AWS Lake Formation is designed for Large Enterprises, Medium Business and Small Business.

          Amazon EMR is designed for Large Enterprises, Medium Business and Small Business.

          The starting price of Amazon EMR begins at $0.04per hour, while pricing details for AWS Lake Formation are unavailable.

          Some top alternatives to AWS Lake Formation includes Snowflake, SAS Advanced Analytics, Qualified, Datascale, Workvivo, DataSquirrel, Azure Data Lake Analytics, Infor Data Lake, SAS Data Quality, Databricks, Dataiku DSS and Dremio.

          Some top alternatives to Amazon EMR includes AWS Data Pipeline, Snowflake, Qubole, BigDataCloud, Alibaba E-MapReduce, Hortonworks Data Platform, Azure HDInsight, Cloudera DataFlow, Databricks and Data Mechanics.

          Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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