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Amazon EMR vs Infobright DB comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon EMR
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
23
Ranking in other categories
Hadoop (3rd), Cloud Data Warehouse (12th)
Infobright DB
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (37th), Data Warehouse (27th)
 

Featured Reviews

Prashant  Singh - PeerSpot reviewer
Seamless data integration enhances reporting efficiency and an easy setup
Amazon EMR has multiple connectors that can connect to various data sources. The service charges are based on processing only, depending on the resources used, which can help save money. It is easy to integrate with other services for storage, allowing data to be shifted to cheaper storage based on usage.
SD
If you need a real big data solution, look for a distributed solution that actually has a proven track record.
This version of Infobright has zero support for distributed scalability. The internal smart grid employed for each table has a major flaw in that the data size cannot be expunged until 2GB of data is reached at the column-level. This is a major flaw, making usage in a big-data scenario impossible. This means that you can delete as many records from a database table as you want. However, unless the 2GB aggregate size threshold was reached for some of the columns in the table, no reduction in disk space usage will occur. Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk. I spent countless hours trying to find some workaround for this. I have nightmares of my e-mail inbox full of unsolvable questions about data size reduction from our field engineers.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution helps us manage huge volumes of data."
"It has a variety of options and support systems."
"The solution is scalable."
"The initial setup is pretty straightforward."
"The solution is pretty simple to set up."
"The security of the managed workflow and the managed services are the best features for us. Since we inherited their security model and it's all managed services, those are the key benefits for our clients."
"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR."
"The project management is very streamlined."
"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
 

Cons

"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."
"The problem for us is it starts very slow."
"There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"There is no need to pay extra for third-party software."
"Modules and strategies should be better handled and notified early in advance."
"The product's features for storing data in static clusters could be better."
"Spark jobs take longer on Amazon EMR compared to previous experiences."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
 

Pricing and Cost Advice

"You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."
"There is no need to pay extra for third-party software."
"Amazon EMR is not very expensive."
"Amazon EMR's price is reasonable."
"The price of the solution is expensive."
"The product is not cheap, but it is not expensive."
"I rate the tool's pricing a five out of ten. It can be expensive since it's a managed service, and if you are not careful, you can run into unexpected charges. You can make a mistake that costs you tens of thousands of dollars. That's happened to us twice, so I'm sensitive to it. We're still trying to work on that. Our smallest client probably spends a hundred thousand dollars yearly on licensing, while our largest is well over a million."
"The cost of Amazon EMR is very high."
"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
13%
Manufacturing Company
8%
Educational Organization
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Amazon EMR?
Amazon EMR is a good solution that can be used to manage big data.
What is your experience regarding pricing and costs for Amazon EMR?
The cost of Amazon EMR is a little bit expensive, especially considering the support package, which includes a gold package.
What needs improvement with Amazon EMR?
Spark jobs take longer on Amazon EMR compared to previous experiences. This aspect could be improved to make them more efficient.
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Comparisons

No data available
 

Also Known As

Amazon Elastic MapReduce
Infobright
 

Overview

 

Sample Customers

Yelp
REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Find out what your peers are saying about Amazon EMR vs. Infobright DB and other solutions. Updated: March 2025.
846,617 professionals have used our research since 2012.