Software Alternatives & Reviews
Register | Login

Streamdata.io VS Amazon EMR

Compare Streamdata.io VS Amazon EMR and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Streamdata.io logo Streamdata.io

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

Amazon EMR logo Amazon EMR

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

Streamdata.io videos

No Streamdata.io 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 Streamdata.io and Amazon EMR)

Streamdata.io

Amazon EMR

Stream Processing
100 100%
Stream Processing
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Big Data
5 5%
Big Data
95% 95
Databases
100 100%
Databases
0% 0

User comments

Share your experience with using Streamdata.io 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.

Streamdata.io mentions (0)

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

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

Leo Platform - Leo enables teams to innovate faster by providing visibility and control for data streams.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

OpenZoo - OpenZoo is an open-source, distributed, stream and batch processing framework.

Loading...