Firebolt vs OpenText Analytics Database (Vertica) comparison

Why PeerSpot?

Firebolt and OpenText are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #16 with an average rating of 8.0, while OpenText is ranked #12 with an average rating of 8.5. Firebolt holds a 2.4% mindshare in CDW, compared to OpenText’s 5.2% mindshare. Additionally, 100% of Firebolt users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

Firebolt

Read 1 Firebolt review

1,108 Views
986 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

10,194 Views
3,160 Comparison Views

91% willing to recommend

Firebolt

OpenText Analytics Database...

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

OpenText Analytics Database Vertica and Firebolt are analytical database solutions competing in performance and scalability. Firebolt appears to have an advantage due to its advanced features providing significant long-term ROI through performance benefits.

Features: OpenText Analytics Database Vertica supports multiple analytic workloads with robust performance and scalability. Its reliable support and competitive pricing make it a favorite for diverse enterprise needs. Firebolt is noted for high-speed query performance and efficient data processing, aiming to meet modern analytics demands while aggressively focusing on cutting-edge data handling and advanced features.

Ease of Deployment and Customer Service: Firebolt's cloud-native deployment simplifies integration and scalability, aided by responsive customer service. OpenText offers both cloud and on-premise options but may not match Firebolt's speed and simplicity of setup. Firebolt's rapid deployment helps achieve quicker time-to-value.

Pricing and ROI: OpenText Analytics Database Vertica provides competitive pricing models, balancing setup costs with solid ROI through its comprehensive features. Firebolt, potentially having higher entry costs, offers significant long-term ROI by optimizing performance and data processing.

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

Buyer's Guide

Cloud Data Warehouse

October 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:

Categories and Ranking

Firebolt

Ranking in Cloud Data Warehouse

16th

Average Rating

9.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Analytics Database...

Ranking in Cloud Data Warehouse

12th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th)

Mindshare comparison

As of November 2026, in the Cloud Data Warehouse category, the mindshare of Firebolt is 2.4%, up from 1.1% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.2%, down from 6.1% 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)	5.2%
Firebolt	2.4%
Other	92.4%

Cloud Data Warehouse

Featured Reviews

Iqbal Hossain Raju

Junior Software Engineer at a healthcare company with 10,001+ employees

Can quickly query it to generate quick results

We have used Snowflake before. We support both. Firebolt has better performance, executing queries much quicker than Snowflake. However, Snowflake has more functionality. Depending on the client's needs, we can recommend the best option. Firebolt is a relatively new technology. Snowflake has many functionalities. Firebolt does not support unloading data to S3. There is no built-in way to do this in Firebolt. Alternatively, the data can be retrieved using API calls and loaded to S3 manually. Data can be unloaded to S3 directly using Snowflake. Firebolt significantly improves our performance over Snowflake because it takes less time to execute queries. This is especially important for our company because we use some KPIs that require fast loading times.

Read full review

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

Quotes from Members

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

Pros

"Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results."

"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."

"Analytical features are amazing, the integration is wonderful."

"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."

"I have seen queries that take over 24 hours on MS SQL Server to complete, complete in less than 10 minutes on Vertica."

"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"

"We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."

"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "

"I enjoy the cybersecurity and backup features."

More OpenText Analytics Database (Vertica) pros

Cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."

"Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company."

"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."

"The support was slow and didn’t provide a solution in most cases."

"Limitations in group by projections is where I would like to see an improvement."

"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."

"I think it's starting to get a little expensive."

"Some GUI tools out of the box, better Python integration. I would love to see some nice query engine, tooled specifically to Vertica extensions of SQL (with IntelliSense)."

"vbr.py needs to be improve to support diff no of nodes source to target."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

Information not available

"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."

"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."

"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."

"It's an expensive product"

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

"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October)."

"The pricing for this solution is very reasonable compared to other vendors."

"The solution is relatively cost-effective."

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

16%

Outsourcing Company

13%

Manufacturing Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

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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.

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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...

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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...

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Comparisons

Snowflake vs Firebolt

Compared 26% of the time

Snowflake Analytics vs Firebolt

Compared 20% of the time

Microsoft Azure Synapse Analytics vs Firebolt

Compared 16% of the time

Yellowbrick Cloud Data Warehouse vs Firebolt

Compared 15% of the time

More Firebolt 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

Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica)

Compared 4% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

October 2026

Download Firebolt product report

Buyer's Guide

OpenText Analytics Database (Vertica)

October 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

Firebolt caters to data-driven enterprises by delivering fast, efficient analytics that handle large-scale data with ease. It optimizes performance for high-stakes queries, making it an asset for businesses seeking data insight.

Firebolt offers a cloud data warehouse designed for exceptional speed and scalability. Its ability to execute heavy queries rapidly without sacrificing granular insights sets it apart. Built to handle concurrent queries and deliver high performance, Firebolt is a modern solution valued by businesses for its capability to transform extensive datasets into actionable intelligence. Users find it particularly adept at reducing query and processing times.

What are the key features of Firebolt?

Columnar Storage: Supports efficient data retrieval and storage, ensuring swift access to large datasets.
In-memory Computing: Boosts performance by utilizing in-memory storage for frequently accessed data.
Elastic Scaling: Adapts to workload demands, offering flexibility and cost-efficient resource management.
SQL Support: Comprehensive SQL interface that facilitates complex queries and data manipulation.
Workload Isolation: Ensures consistent performance by isolating different workloads.

Why consider Firebolt for your ROI?

Reduced Query Time: Accelerates data processing, lowering time-to-insight for quicker decision-making.
Cost Efficiency: Efficient resource usage minimizes operational costs, maximizing value.
Scalability: Grows with business needs without compromising performance.
Simplicity: Streamlined architecture simplifies data management and integration.

Firebolt's implementation spans industries such as finance, e-commerce, and healthcare, where fast data processing is crucial. Financial analysts rely on it for quick access to historical data, enabling timely insights. E-commerce platforms benefit from its ability to handle high transaction volumes and customer behavior analytics, while healthcare industries utilize its capacity to process large volumes of medical data, providing timely insights for patient care and research advancements.

Firebolt

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

Information Not Available

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

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