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Coalesce.io vs OpenText Analytics Database (Vertica) comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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

Coalesce.io
Ranking in Data Warehouse
15th
Average Rating
7.4
Reviews Sentiment
3.3
Number of Reviews
9
Ranking in other categories
No ranking in other categories
OpenText Analytics Database...
Ranking in Data Warehouse
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of October 2026, in the Data Warehouse category, the mindshare of Coalesce.io is 1.0%, up from 0.7% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.3%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)6.3%
Coalesce.io1.0%
Other92.7%
Data Warehouse
 

Featured Reviews

Kunal Shah - PeerSpot reviewer
Senior Business Intelligence Developer at VodafoneZiggo
Standardized ELT templates have accelerated delivery while API and UI flexibility still need improvement
The best features Coalesce.io offers in my experience include lineage, which is the most important from the Ziggo perspective, and the APIs, which I would rank as the second most valuable. The third feature is the bulk edit option, so we don't have to do repetitive tasks again and again. The new SQL feature they are introducing, where you can dump your SQL and have your table or view created without manually creating columns, is also valuable. These are the four features I appreciate the most, and the fifth one would be the recently implemented GUI change where you can put a node in a spotlight to see the upstream and downstream based on what you need, setting up the depth and those settings. Coalesce.io has positively impacted my organization by reducing our development time and the time to market from around 15 days to a couple of days. This is the biggest impact we have experienced, and we are able to enforce a standardized way of working among developers, eliminating silos or customized solutions that developers create for themselves. If a satellite is loaded by ten different processes, all ten different processes generate the same type of SQL, making it easier to debug later if someone new joins the team. Additionally, since it is a SaaS solution, there is no need to maintain any software or install anything on laptops, which has helped us at VodafoneZiggo. Another feature is the API feature and the CLI command tool, which aid us significantly in moving from PowerCenter to Coalesce, enabling the migration of mappings from PowerCenter to Coalesce in bulk.
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.

Quotes from Members

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

Pros

"The best features that Coalesce.io offers include a very rigid ETL framework that ensures all developers use the same pattern."
"Coalesce.io has positively impacted my organization by being a tool that can be leveraged by a non-technical team, especially business analysts who are working on bringing data from different sources."
"Coalesce.io has positively impacted my organization by reducing our development time and the time to market from around 15 days to a couple of days."
"Using Coalesce.io, I have reduced my transformation process and eliminated macros that were previously used, creating reusable programs that are helpful for other projects and models, which has reduced code dependencies between teams and saved approximately three hundred to four hundred dollars per day in processing costs."
"Coalesce.io has helped me develop projects faster, as it is easy to implement and maintain, reducing execution time by thirty to forty percent, while also helping me design a modular approach."
"Coalesce.io has positively impacted my organization by improving workflow, productivity, and business outcomes."
"Usually it takes six to seven weeks to develop all those things, but with Coalesce.io, I can complete those things in one week."
"Coalesce.io has positively impacted my organization by making development faster and keeping the logic clearer, so we do not have to see 1000-2000 lines of code every time."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"Since moving to Vertica all the manual maintenance and speed issues of the Oracle data warehouse are left behind."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"We use the solution because it is very good, you can make interconnections with anything to collect the data, any type of data."
"I like the projection feature, which increases query performance."
"The performance is very good and the aggregate records are fast."
"The compute and processing engine returns the queries fast and let us use our analysis resources in a better utilization."
"We could run group by queries thousand of times faster, we are able to test more models and improve accuracy."
 

Cons

"At the moment, the only improvement I see is deeper support for AI agents to support the developer's job."
"Regarding the accuracy and reliability of Coalesce.io's output, I am not entirely sure it is reliable."
"I do not find anything particularly helpful or something that stands out yet."
"Coalesce.io could be improved from the stage layer perspective."
"Coalesce.io can be improved regarding the APIs that still do not support all types of scenarios within a node, which is a blocking issue for us and potentially for other companies as well."
"Coalesce.io could improve in their AI features that they have enabled now."
"For that specific use case, I was able to accomplish what I was trying to do during the demo, but we encountered certain scenarios such as post-hooks, update statements, edge cases, or particular SQL query modifications and custom cases that could not be implemented through the GUI interface."
"Coalesce.io is compatible with Snowflake only, so it must be configured with other platforms such as Databricks and BigQuery, which is a limitation and a drawback."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"vbr.py needs to be improve to support diff no of nodes source to target."
"More frequent updates."
"Stability is good, however the database crashed once because a query ran against a large XML data element."
"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)."
"If your product has lots of concurrent queries this solution is not suitable for you, or you need to implement a cache layer."
"But we're not sure yet, SQL Server is way more stable and predictable."
"The documentation could be improved with more examples of commands and step-by-step scenarios."
 

Pricing and Cost Advice

Information not available
"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."
"The solution is free and we pay for the storage."
"It is fast to purchase through the AWS Marketplace."
"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."
"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 price could be cheaper and it is best to negotiate the price."
"The pricing for this solution is very reasonable compared to other vendors."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
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Top Industries

By visitors reading reviews
Healthcare Company
31%
Outsourcing Company
16%
Construction Company
13%
Manufacturing Company
11%
Financial Services Firm
14%
Outsourcing Company
14%
Manufacturing Company
10%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise2
Large Enterprise8
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
 

Questions from the Community

What is your experience regarding pricing and costs for Coalesce.io?
Licensing costs are based on the region. We are using the US region, so charges are determined accordingly.
What needs improvement with Coalesce.io?
Coalesce.io can be improved by making it handle more edge cases and providing better documentation. When I was initially working and trying to find information, there was not much available on thei...
What is your primary use case for Coalesce.io?
My main use case for Coalesce.io was with a healthcare provider client whose team was not particularly tech savvy, so we wanted something easy to use. I was debating between two options: Coalesce.i...
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...
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...
 

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 Coalesce.io vs. OpenText Analytics Database (Vertica) and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.