Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica) comparison

Microsoft Parallel Data Warehouse vs. OpenText Analytics Database (Vertica)

March 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

4.9

Users find Microsoft Parallel Data Warehouse effective in managing data, integrating tools, with ROI potential despite indirect tracking.

Sentiment score

6.7

Users gained significant cost savings and efficiency with Vertica, boosting real-time reporting and democratizing data analytics capabilities.

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

6.8

Microsoft Parallel Data Warehouse support is generally positive with responsive service, though some suggest enhancements in speed and Azure expertise.

Sentiment score

7.1

OpenText Analytics Database support is generally positive, with praise for expertise, though concerns exist over response times.

They are responsive and get back to us.

reviewer2254953

Service Desk Administrator at a real estate/law firm with 1,001-5,000 employees

I would rate my experience with technical support around six on a scale of 1 to 10 because I have not had a particular experience with technical support.

HassanFatemi

CEO at Smart Data-Driven Solutions

For more quotes and insights, download the Microsoft Parallel Data Warehouse report

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

7.3

Microsoft Parallel Data Warehouse is scalable with SQL benefits, but may lag behind Snowflake in large data handling.

Sentiment score

7.2

OpenText Analytics Database (Vertica) excels in scalability, query performance, and flexibility, despite occasional node addition and cost challenges.

We go from a couple of users to tons of users all the time, and it scales and handles things really well.

reviewer2254953

Service Desk Administrator at a real estate/law firm with 1,001-5,000 employees

I give the scalability an eight out of ten, indicating it scales well for our needs.

For more quotes and insights, download the Microsoft Parallel Data Warehouse report

Architecture at a manufacturing company with 10,001+ employees

As a consultant, we hire additional programmers when we need to scale up certain major projects.

Ashok Bhadra

Associate Director at Sequentis

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

The scalability of OpenText Analytics Database (Vertica) is very strong.

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

Stability Issues

Sentiment score

8.1

Microsoft Parallel Data Warehouse is stable, reliable, handles large volumes well, with occasional speed issues on vast datasets.

Sentiment score

7.2

OpenText Analytics Database (Vertica) is stable with minimal issues, mainly depending on configuration, resource management, and monitoring.

Microsoft Parallel Data Warehouse is stable for us because it is built on SQL Server.

For more quotes and insights, download the Microsoft Parallel Data Warehouse report

Architecture at a manufacturing company with 10,001+ employees

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

Microsoft Parallel Data Warehouse needs better tool integration, scalability, compatibility, frequent updates, competitive pricing, and enhanced error messaging.

OpenText Analytics Database needs improved cloud integration, UI, support, machine learning features, and pricing to meet user expectations.

It would be better to release patches less frequently, maybe once a month or once every two months.

Ashok Bhadra

Associate Director at Sequentis

Addressing the cost would be the number one area for improvement.

HassanFatemi

CEO at Smart Data-Driven Solutions

When there are many users or many expensive queries, it can be very slow.

Tcheupi Jonathan

Computer engineer at a engineering company with 5,001-10,000 employees

For more quotes and insights, download the Microsoft Parallel Data Warehouse report

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

Microsoft Parallel Data Warehouse offers competitive pricing, suitable for large enterprises, but can be costly for high-performance needs.

OpenText Analytics Database offers flexible pricing with a free TB, competitive against Oracle, with added licensing features and storage costs.

Microsoft Parallel Data Warehouse is very expensive.

For more quotes and insights, download the Microsoft Parallel Data Warehouse report

Architecture at a manufacturing company with 10,001+ 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

Microsoft Parallel Data Warehouse boosts data loads, integrates with Power BI, and offers scalable BI with minimal costs.

OpenText Analytics Database (Vertica) provides fast, scalable analytics with cost-efficient storage, supporting big data projects and real-time insights.

The columnstore index enhances data query performance by using less space and achieving faster performance than general indexing.

Vanessa Jin

BI/Data Warehouse Analyst at a healthcare company with 501-1,000 employees

Microsoft Parallel Data Warehouse is used in the logistics area for optimizing SQL queries related to the loading and unloading of trucks.

For more quotes and insights, download the Microsoft Parallel Data Warehouse report

Architecture at a manufacturing company with 10,001+ employees

There's a feature that allows users to set alerts on triggers within reports, enabling timely actions on pending applications and effectively reducing waiting time.

Ashok Bhadra

Associate Director at Sequentis

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

Microsoft Parallel Data War...

Ranking in Data Warehouse

12th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Analytics Database...

Ranking in Data Warehouse

6th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (11th)

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 2.4%, up from 0.7% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.0%, down from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.0%
Microsoft Parallel Data Warehouse	2.4%
Other	92.6%

Data Warehouse

Featured Reviews

HassanFatemi

CEO at Smart Data-Driven Solutions

Has handled large volumes of data effectively but still needs cost flexibility

There could be improvements on the cost side of Microsoft Parallel Data Warehouse because it is still considered to be quite expensive by a lot of users, and many companies are not interested in solutions with parallel data warehousing due to this expense. Addressing the cost would be the number one area for improvement. Additionally, I have not worked recently with it, so I don't know if this feature already exists, but if it doesn't, having an elastic feature that adjusts the service's power dynamically based on the workload would be beneficial instead of fixing the power at a specific level.

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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

Marketing Services Firm

14%

Manufacturing Company

10%

Performing Arts

University

Financial Services Firm

17%

Computer Software Company

15%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	6
Large Enterprise	22

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	41

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?

Microsoft Parallel Data Warehouse is very expensive.

What needs improvement with Microsoft Parallel Data Warehouse?

The pricing could be better; I think it actually just went up.

What is your primary use case for Microsoft Parallel Data Warehouse?

The basic use case for us is virtual machines. In real estate, we use it for our operations. They handle large data sets well, and the performance is good during those times.

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...

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Product Reports

Microsoft Parallel Data Warehouse

February 2026

Microsoft Parallel Data Warehouse report

Download Microsoft Parallel Data Warehouse product report

OpenText Analytics Database (Vertica)

February 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

Microsoft

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

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe

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