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HVR VS Amazon EMR

Compare HVR VS Amazon EMR and see what are their differences

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
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HVR logo 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.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • HVR Landing page
    Landing page //
    2023-09-01
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

HVR

Categories
  • Monitoring Tools
  • Web Service Automation
  • MySQL Tools
  • Data Replication
  • Data Integration
  • Cloud Data Services
  • Big Data
Website hvr-software.com
Platforms
AWS Snowflake Salesforce Teradata PostgreSQL Amazon Redshift Amazon RDS Amazon S3 Amazon Aurora MySQL Snowflake On AWS Snowflake On Azure Snowflake On Google Cloud Google Cloud SQL Google Cloud Storage Google BigQuery SAP HANA SAP ECC Apache Kafka Apache Hive Apache Cassandra Microsoft SQL Server Microsoft Azure SQL Database Azure Synapse Analytics Microsoft Azure DLS Microsoft Azure Blob Storage Oracle HDFS IBM DB2 LUW IBM DB2 On z/OS IBM DB2 iSeries MariaDB MongoDB Ingres SharePoint Greenplum Actian Vector
Edit details

Amazon EMR

Categories
  • Big Data
  • Big Data Tools
  • Big Data Infrastructure
  • Data Dashboard
Website aws.amazon.com
Platforms
-
Edit details

HVR videos

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

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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

Category Popularity

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

HVR

Amazon EMR

Development
51 51%
Development
49% 49
Data Dashboard
0 0%
Data Dashboard
100% 100
Backup & Sync
100 100%
Backup & Sync
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

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

HVR Reviews

Top 10 Data Integration Software: An Overview 28 Jan 2019
HVR Software is designed for enterprise-level data integration that can process large volumes of data with minimal impact on database. It offers real-time analytics and data update with support for real-time cloud data integrations as well. Users can also efficiently move high volumes of data both on-premise and cloud. One of its downsides is that it primarily suitable for...
Source: mopinion.com
The 28 Best Data Integration Tools and Software for 2020
Description: HVR offers a variety of data integration capabilities, including cloud, data lake, and real-time integration, database and file replication, and database migration. The product allows organizations to move data bi-directionally between on-prem solutions and the cloud. Real-time data movement continuously analyzes changes in data generated by transactional...
Source: solutionsreview.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.

HVR mentions (0)

We have not tracked any mentions of HVR yet. Tracking of HVR 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: almost 2 years ago
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What are some alternatives?

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

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

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

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

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

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

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

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