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Amazon EMR vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

Review summaries and opinions

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

ROI

Sentiment score
4.8
Amazon EMR offers cost savings and ROI benefits, with some users experiencing up to 20% cost reduction and high returns.
Sentiment score
6.2
Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.
I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
7.9
Amazon EMR customer service varies, with generally responsive support despite reported delays and occasional gaps in integration assistance.
Sentiment score
7.1
OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
Lead AWS Data Engineer at Fission Labs
We get all call support, screen sharing support, and immediate support, so there are no problems.
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
I would rate the technical support from Amazon as ten out of ten.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.
consultant at tcs
 

Scalability Issues

Sentiment score
7.4
Amazon EMR efficiently scales for businesses, offering customizable cluster options to manage diverse data sizes and enterprise demands.
Sentiment score
7.2
OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Lead AWS Data Engineer at Fission Labs
We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.
consultant at tcs
OpenText Analytics Database (Vertica) has very good scalability.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
OpenText Analytics Database (Vertica) can scale to a great extent.
Analytics Manager at a wholesaler/distributor with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
Amazon EMR is praised for stability and reliability, with high ratings due to its configurability and robust features.
Sentiment score
7.2
OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
Lead AWS Data Engineer at Fission Labs
OpenText Analytics Database (Vertica) is very stable.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Room For Improvement

Amazon EMR users face challenges with customization, stability, onboarding, cost optimization, task speed, and demand enhanced integration and security.
OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.
The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
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.
Lead AWS Data Engineer at Fission Labs
I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.
consultant at tcs
Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Setup Cost

Amazon EMR pricing is variable, potentially costly, but users can manage expenses with strategic resource and instance management.
OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.
Costs are involved based on cluster resources, data volumes, EC2 instances, instance sizes, Kubernetes, Docker services, storage, and data transfers.
Lead AWS Data Engineer at Fission Labs
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Valuable Features

Amazon EMR offers scalable, cost-effective big data management with integration, flexibility, security, and seamless Hadoop and Spark processing.
OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
Lead AWS Data Engineer at Fission Labs
Amazon EMR provides out-of-the-box functionality because we can deploy and get Spark functionality over Hadoop.
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
The features at Amazon EMR that I have found most valuable are fully customizable functions.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.
consultant at tcs
The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Categories and Ranking

Amazon EMR
Ranking in Cloud Data Warehouse
13th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
25
Ranking in other categories
Hadoop (3rd)
OpenText Analytics Database...
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Warehouse (6th)
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Amazon EMR is 3.8%, up from 3.1% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.5%, up from 5.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.5%
Amazon EMR3.8%
Other90.7%
Cloud Data Warehouse
 

Featured Reviews

reviewer1343079 - PeerSpot reviewer
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility
I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.
JN
consultant at tcs
Data warehousing has transformed reporting performance and now delivers near real-time insights
OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Healthcare Company
10%
Manufacturing Company
7%
Computer Software Company
7%
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
7%
Marketing Services Firm
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise5
Large Enterprise12
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise42
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon EMR?
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
What needs improvement with Amazon EMR?
I feel some lack of functionality in Amazon EMR. I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
What advice do you have for others considering Amazon EMR?
I find it easy to integrate Amazon EMR with other AWS services like S3 or EC2 for data processing needs. I would rate this review as eight out of ten.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
What needs improvement with Vertica?
OpenText Analytics Database (Vertica) can be improved by adding some more features in analytics. OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which featu...
 

Also Known As

Amazon Elastic MapReduce
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Yelp
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Amazon EMR vs. OpenText Analytics Database (Vertica) and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.