Software Alternatives & Reviews
Register | Login

Ayasdi VS Amazon EMR

Compare Ayasdi VS Amazon EMR and see what are their differences

Ideanote
Ideanote is the #1 rated Idea Management solution for companies of all sizes. Collect, develop and manage more of the right ideas from customers and employees to drive your growth. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Ayasdi logo Ayasdi

Ayasdi offers an insight discovery platform that helps organizations discover and utilize insights from their data.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Ayasdi Landing page
    Landing page //
    2023-10-14
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Ayasdi videos

No Ayasdi videos yet. You could help us improve this page by suggesting one.

+ Add video

Amazon EMR videos

+ Add

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 Ayasdi and Amazon EMR)

Ayasdi

Amazon EMR

Data Dashboard
20 20%
Data Dashboard
80% 80
Database Tools
100 100%
Database Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0

User comments

Share your experience with using Ayasdi and Amazon EMR. For example, how are they different and which one is better?
Log in or Post with

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.

Ayasdi mentions (0)

We have not tracked any mentions of Ayasdi yet. Tracking of Ayasdi 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 Ayasdi and Amazon EMR, you can also consider the following products

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

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

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Loading...