Amazon EMR vs OpenText Analytics Database (Vertica) comparison

Amazon EMR vs. OpenText Analytics Database (Vertica)

April 2026

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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.

No quotes available

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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.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

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.

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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.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

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.

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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.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

OpenText Analytics Database (Vertica) can scale to a great extent.

Anuj Chourasia

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.

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Lead AWS Data Engineer at Fission Labs

OpenText Analytics Database (Vertica) is very stable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

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.

For more quotes and insights, download the Amazon EMR report

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.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

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.

For more quotes and insights, download the Amazon EMR report

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.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

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.

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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.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

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

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

Ranking in other categories

Data Warehouse (5th)

Mindshare comparison

As of May 2026, in the Cloud Data Warehouse category, the mindshare of Amazon EMR is 3.8%, up from 3.2% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.6%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.6%
Amazon EMR	3.8%
Other	90.6%

Cloud Data Warehouse

Featured Reviews

Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

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.

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Data warehousing has transformed reporting performance and now delivers near real-time insights

consultant at tcs

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

21%

Healthcare Company

Manufacturing Company

Performing Arts

Financial Services Firm

18%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	5
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	43

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) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...

Cloudera Distribution for Hadoop vs Amazon EMR

Comparisons

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Compared 6% of the time

Apache Spark vs Amazon EMR

Compared 6% of the time

Amazon Redshift vs Amazon EMR

Compared 6% of the time

IBM Analytics Engine vs Amazon EMR

Compared 4% of the time

More Amazon EMR Competitors

Teradata vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 5% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

SQL Server vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Download Amazon EMR product report

Amazon EMR

May 2026

OpenText Analytics Database (Vertica)

April 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

Amazon Elastic MapReduce

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

Amazon EMR simplifies big data processing by offering integration with popular tools. It's scalable and cost-efficient, enabling fast processing while managing infrastructure effortlessly. It's designed for users aiming to streamline data workflows and leverage its batch processing capabilities effectively.

Amazon EMR is a managed service that provides robust features for big data processing. It integrates seamlessly with S3, EC2, Hive, and Spark to facilitate sophisticated data transformation tasks and infrastructure management. It allows organizations to run data lakes, Spark, and Hadoop clusters effortlessly, offering flexibility with on-demand execution and extensive scalability. The platform is valued for its strong processing speed and comprehensive security features, making it ideal for complex data engineering projects. It supports both batch processing and real-time workflows, designed to eliminate hardware management while maintaining cost efficiency and stability.

What are the key features of Amazon EMR?

Cluster Management: Offers intuitive control and configuration of clusters
Integration: Seamlessly integrates with S3, EC2, Spark, and more
Scalability: Provides flexible scaling to meet data demands
Batch Processing: Allows efficient handling of large data sets
Cost Efficiency: Minimizes costs with managed service offerings

What benefits and ROI should be considered?

Processing Speed: Fast performance for data processing tasks
Security: Built-in features ensure data protection
Infrastructure Simplification: Eliminates hardware management needs
Flexibility: Adapts to changing data loads with ease
Affordability: Offers economic processing power

Amazon EMR is implemented by industries such as healthcare and tech processing for complex data tasks like building data lakes or financial data processing. It supports AI-driven analytics and data engineering projects, integrating with SageMaker for predictions and maintaining workflows in public health applications, allowing professionals in different fields to manage data pipelines, resource utilization, and job execution efficiently.

Amazon Web Services (AWS)

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

Sample Customers

Yelp

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.