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BigQuery 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
4.9
BigQuery offers improved performance, cost savings, and intuitive features, with some users reporting up to 75% cost reductions.
Sentiment score
6.7
Users gained significant cost savings and efficiency with Vertica, boosting real-time reporting and democratizing data analytics capabilities.
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
7.2
Customers find Google BigQuery support effective but sometimes limited, relying on documentation, forums, and expert assistance for issues.
Sentiment score
7.1
OpenText Analytics Database support is generally positive, with praise for expertise, though concerns exist over response times.
rating the customer support at ten points out of ten
Sr. Team Lead - IT at InfoStretch
I have been self-taught and I have been able to handle all my problems alone.
Chief Technical Lead at a consultancy with 201-500 employees
I would rate their customer service pretty good on a scale of one to 10, as they gave me access to the platform on a grant.
Principal at Sgt Suds
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
7.8
BigQuery offers excellent scalability and efficiency, supporting vast data seamlessly, though cost and integration challenges may arise.
Sentiment score
7.2
OpenText Analytics Database (Vertica) excels in scalability, query performance, and flexibility, despite occasional node addition and cost challenges.
It is a 10 out of 10 in terms of scalability.
Chief Technical Lead at a consultancy with 201-500 employees
We have not seen problems with scaling.
Director at a consultancy with 11-50 employees
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
Expert Analyst at a healthcare company with 5,001-10,000 employees
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.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Stability Issues

Sentiment score
8.3
BigQuery is stable and reliable, with efficient data handling, few bugs, and strong support, despite occasional slow queries.
Sentiment score
7.2
OpenText Analytics Database (Vertica) is stable with minimal issues, mainly depending on configuration, resource management, and monitoring.
In the past one and a half years that I have been running with BigQuery, I have not needed to raise any technical support with BigQuery or with Google.
Director at a consultancy with 11-50 employees
OpenText Analytics Database (Vertica) is very stable.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Room For Improvement

BigQuery struggles with cost, accessibility, scalability, and lacks data residency, needing better integration, performance, and machine learning features.
OpenText Analytics Database needs improved cloud integration, UI, support, machine learning features, and pricing to meet user expectations.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
Sr. Team Lead - IT at InfoStretch
In general, if I know SQL and start playing around, it will start making sense.
Expert Analyst at a healthcare company with 5,001-10,000 employees
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
Chief Technical Lead at a consultancy with 201-500 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

BigQuery uses a pay-as-you-go model, balancing affordability with strategic expense management for data storage and query execution.
OpenText Analytics Database offers flexible pricing with a free TB, competitive against Oracle, with added licensing features and storage costs.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
Chief Technical Lead at a consultancy with 201-500 employees
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
Sr. Team Lead - IT at InfoStretch
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

BigQuery provides scalable, serverless data processing with fast query capabilities, seamless GCP integration, SQL support, and competitive pricing.
OpenText Analytics Database (Vertica) provides fast, scalable analytics with cost-efficient storage, supporting big data projects and real-time insights.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
Expert Analyst at a healthcare company with 5,001-10,000 employees
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
Sr. Team Lead - IT at InfoStretch
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
Chief Technical Lead at a consultancy with 201-500 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

BigQuery
Ranking in Cloud Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
43
Ranking in other categories
No ranking in other categories
OpenText Analytics Database...
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
89
Ranking in other categories
Data Warehouse (6th)
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of BigQuery is 8.0%, up from 7.3% 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 (%)
BigQuery8.0%
OpenText Analytics Database (Vertica)5.5%
Other86.5%
Cloud Data Warehouse
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
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
15%
Manufacturing Company
14%
Computer Software Company
10%
Media Company
7%
Financial Services Firm
17%
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 Business13
Midsize Enterprise9
Large Enterprise20
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise42
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
There are areas that could be improved with BigQuery, such as more bolt-on capabilities and the ability to use more bolt-ons for APIs. Having more of a library of connectors would be really benefic...
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

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Information Not Available
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about BigQuery vs. OpenText Analytics Database (Vertica) and other solutions. Updated: March 2026.
884,122 professionals have used our research since 2012.