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Amazon EMR VS Striim

Compare Amazon EMR VS Striim and see what are their differences

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Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Striim logo Striim

Striim provides an end-to-end, real-time data integration and streaming analytics platform.
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Striim Landing page
    Landing page //
    2023-10-20

Amazon EMR videos

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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

Striim videos

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Striim On Premise to Azure Integration Step 1

More videos:

  • Review - Tech review: AwoX Striim LED Light Bulb
  • Review - Striim On Premise to Azure Integration Step 2

Category Popularity

0-100% (relative to Amazon EMR and Striim)

Amazon EMR

Striim

Data Dashboard
100 100%
Data Dashboard
0% 0
Development
43 43%
Development
57% 57
Big Data
100 100%
Big Data
0% 0
Backup & Sync
0 0%
Backup & Sync
100% 100

User comments

Share your experience with using Amazon EMR and Striim. For example, how are they different and which one is better?
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Reviews

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

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
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Striim Reviews

Top 14 ETL Tools for 2023
Striim offers a real-time data integration platform for big data workloads. Users can integrate a wide variety of data sources and targets — including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and Hadoop — in various file formats. Striim is compliant with data privacy regulations such as GDPR and HIPAA, and users can define pre-load transformations using SQL or Java.
Source: www.integrate.io
Top 7 ETL Tools for 2021
Striim offers a real-time data integration platform for big data workloads. Users can integrate a wide variety of data sources and targets in roughly 20 different file formats, including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and Hadoop. Striim is compliant with data privacy regulations such as GDPR and HIPAA, and users can define pre-load transformations using SQL...
Source: www.xplenty.com
The 28 Best Data Integration Tools and Software for 2020
Description: Striim offers a real-time data integration solution that enables continuous query processing and streaming analytics. Striim integrates data from a wide variety of sources, including transaction/change data, events, log files, application and IoT sensor, and real-time correlation across multiple streams. The platform features pre-built data pipelines,...
Source: solutionsreview.com

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.

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

Striim mentions (0)

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

What are some alternatives?

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

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

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

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

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

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

Bryteflow Data Replication and Integration - Bryteflow is a popular platform that offers many services, including data replication and integration.

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