OpenText Analytics Database (Vertica) vs WP Bolt comparison

OpenText and Site Arrow are both solutions in the Data Warehouse category. OpenText is ranked #5 with an average rating of 8.3, while Site Arrow is ranked #27. OpenText holds a 5.8% mindshare in Data Warehouse, compared to Site Arrow’s 1.5% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 100% of Site Arrow users who would recommend it.

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

7,140 Views
3,784 Comparison Views

91% willing to recommend

WP Bolt

Read 1 WP Bolt review

569 Views
506 Comparison Views

100% willing to recommend

OpenText Analytics Database...

WP Bolt

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 29, 2026

WP Bolt and OpenText Analytics Database Vertica are competitive products in the analytics field. WP Bolt is favored for being cost-effective and having strong customer support, whereas OpenText Analytics Database Vertica is preferred for its advanced analytical features, providing a more comprehensive solution.

Features: WP Bolt stands out for its ease of use, efficient integration capabilities, and cost-effectiveness. OpenText Analytics Database Vertica offers powerful analytical tools, advanced data processing, and support for large-scale analytics.

Ease of Deployment and Customer Service: WP Bolt features straightforward deployment with strong service support, while OpenText Analytics Database Vertica has a more complex deployment model requiring specialized technical assistance.

Pricing and ROI: WP Bolt has a lower setup cost, offering quick return on investment, ideal for startups and small businesses. OpenText Analytics Database Vertica, although pricier, justifies the cost with a superior feature set and higher long-term ROI for enterprises managing extensive data.

To learn more, read our detailed Data Warehouse Report (Updated: June 2026).

Buyer's Guide

Data Warehouse

June 2026

Download the complete report

Helped 899,125 peers since 2012

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

OpenText Analytics Database...

Ranking in Data Warehouse

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (11th)

WP Bolt

Ranking in Data Warehouse

27th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 5.8%, down from 7.8% compared to the previous year. The mindshare of WP Bolt is 1.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.8%
WP Bolt	1.5%
Other	92.7%

Data Warehouse

Featured Reviews

Jitendrak Naik

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.

Read full review

it_user665328

ETL Developer at a music company with 501-1,000 employees

the most useful feature of the product is object imaging. It is the champion in the world of RDBMS.

Although they already have patches to address the instability of CORV (Create or Replace Views) CASCADE, I believe this is the area that should receive most attention. I am, however, still not sure if the patch has officially been recognised and deployed as part of their version updates. There are a few critical issues/bugs that we have experienced on our production environment, which required intervention from Kognitio. As one of Kognitio's biggest clients, their response times were quick and patches were also quick to be released to address production issues. Also, slabs management seems to be, or can be, a very hands-on tasks especially when reaching its capacity. It will be every WX2/KAP developer’s or DBA’s paradise if the product can be configured in this area to be fully/semi-automated.

Read full review

Quotes from Members

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

Pros

"It provides very fast query performance after good designs of projections."

"It is enterprise ready and a hugely cheaper option than some, and in like-for-like comparisons between HP Vertica and Oracle Exadata (workload and timings), Vertica was faster than Oracle in all but the biggest and most complex of queries."

"Setup was very simple"

"The most valuable feature is the merge function, which is essentially the upsert function, and it has become our ELT pattern because, unlike when we used the ETL tool to manage upserts, the load time is now pretty much flat relative to the volume of records processed."

"Customer Service: Excellent Technical Support: Very good"

"We can also load massive amounts of data in seconds and query it with SLA for online dashboards."

"Any novice user can tune vertical queries with minimal training (or no training at all)."

"With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over."

More OpenText Analytics Database (Vertica) pros

"In the world of RDBMS, WX2/KAP is, I believe, the champion, or should be if not already!"

Cons

"The integration of this solution with ODI could be improved."

"Pricing could be more competitive."

"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."

"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."

"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."

"When it is about to reach the maximum storage capacity, it becomes slow."

"Stability is good, however the database crashed once because a query ran against a large XML data element."

"The explain plans are very difficult to read and understand; for one complex query the explain plan I printed out took in excess of 32 A4 pages and no visual tools were available that I could find."

More OpenText Analytics Database (Vertica) cons

"It does not have the robustness or stability like of Oracle or Teradata; the upper right quadrant."

Pricing and Cost Advice

"The solution is relatively cost-effective."

"It is fast to purchase through the AWS Marketplace."

"The price could be cheaper and it is best to negotiate the price."

"The pricing could improve, it is a little expensive."

"The price of Vertica is less expensive than some competitors, such as Teradata."

"Vertica is an expensive tool."

"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."

"The pricing and licensing depend on the size of your environment and the zone where you want to implement."

More OpenText Analytics Database (Vertica) pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.

See recommendations

899,125 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

Questions from the Community

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.

See all answers

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...

See all answers

What is your primary use case for Vertica?

The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...

See all answers

Ask a question

Earn 20 points

Comparisons

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Teradata 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

BigQuery vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

Teradata vs WP Bolt

Compared 27% of the time

Snowflake vs WP Bolt

Compared 17% of the time

SAP BW4HANA vs WP Bolt

Compared 10% of the time

Oracle Exadata vs WP Bolt

Compared 8% of the time

TIBCO Live Datamart vs WP Bolt

Compared 7% of the time

More WP Bolt Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

May 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Data Warehouse

June 2026

Download WP Bolt product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Kognitio WX2, WX2

Overview

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

WP Bolt is a powerful tool for optimizing WordPress site performance, enabling seamless functionality and enhanced speed, crucial for maintaining online competitiveness and user satisfaction.

This tool is designed to improve website performance by offering features such as caching, image optimization, and comprehensive analytics. It helps businesses achieve faster load times and greater site efficiency, significantly impacting user engagement and SEO rankings.

What are the essential features of WP Bolt?

Caching: Speeds up page load times by storing commonly accessed data.
Image Optimization: Reduces image file sizes without sacrificing quality.
Comprehensive Analytics: Provides insights on site performance and visitor behavior.

What benefits or ROI should users expect?

Enhanced Speed: Faster loading times lead to improved user experience.
Higher Conversion Rates: Quicker page response increases engagement and potential sales.
Improved SEO: Better speed and optimization contribute to higher search engine rankings.

WP Bolt is widely implemented across e-commerce, blogging, and media industries, where web performance directly impacts business success. Companies in these sectors utilize WP Bolt to streamline operations, improve user experience, and drive more traffic, ultimately maximizing their online presence.

Site Arrow

Sample Customers

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

Aimia, Bed Bath & Beyond, bet365, Blueberry Wave, British Telecom, Ellerines, Everyclick, Nectar Italia, PlaceIQ, ScottishPower, Segmetrix, Tattershall Castle Group, Vocal Planet, VivaKi, Willard Bishop

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: June 2026.

DOWNLOAD NOW

899,125 professionals have used our research since 2012.

See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.