Software Alternatives & Reviews

ThoughtSpot VS Amazon EMR

Compare ThoughtSpot VS Amazon EMR and see what are their differences

ThoughtSpot logo ThoughtSpot

ThoughSpot is a search-driven analytics platform that allows you to track your company's metrics without the need to hire a professional analyst.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • ThoughtSpot Landing page
    Landing page //
    2023-10-18
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

ThoughtSpot videos

AI Is The New BI! Thoughtspot Does Search & AI-Driven Analytics

More videos:

  • Review - Tools that help businesses make sense of data: ThoughtSpot CEO
  • Review - ThoughtSpot: The New Trend in Search & AI Driven Analytics

Amazon EMR videos

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Category Popularity

0-100% (relative to ThoughtSpot and Amazon EMR)
Business Intelligence
100 100%
0% 0
Data Dashboard
23 23%
77% 77
Big Data
0 0%
100% 100
Data Visualization
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ThoughtSpot and Amazon EMR

ThoughtSpot Reviews

25 Best Reporting Tools for 2022
ThoughtSpot hasn’t disclosed the pricing of the tool, and users can contact its Sales team to subscribe to it. It offers a 14-day trial period.
Source: hevodata.com

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ThoughtSpot mentions (0)

We have not tracked any mentions of ThoughtSpot yet. Tracking of ThoughtSpot recommendations started around Mar 2021.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
View more

What are some alternatives?

When comparing ThoughtSpot and Amazon EMR, you can also consider the following products

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost