AWS Lake Formation vs OpenText Analytics Database (Vertica) comparison

Amazon Web Services (AWS) and OpenText are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #10 with an average rating of 8.1, while OpenText is ranked #11 with an average rating of 8.2. Amazon Web Services (AWS) holds a 3.5% mindshare in CDW, compared to OpenText’s 5.0% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

AWS Lake Formation

Read 21 AWS Lake Formation reviews

2,398 Views
1,918 Comparison Views

85% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

8,038 Views
2,813 Comparison Views

91% willing to recommend

AWS Lake Formation

OpenText Analytics Database...

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

OpenText Analytics Database (Vertica) and AWS Lake Formation compete in the data analytics and management sector. Vertica often holds the advantage due to its fast query performance and diverse deployment options, while AWS Lake Formation provides strong integration within the AWS ecosystem.

Features: OpenText Analytics Database (Vertica) offers seamless integration with open-source and in-house tools, massive scalability, and fast query performance due to its columnar storage and projections. AWS Lake Formation provides extensive data cataloging, integration with AWS services, and fine-grained access control.

Room for Improvement: Vertica could enhance its community for faster query resolutions, improve documentation, and expand third-party tool integration. AWS Lake Formation can improve its governance features, streamline onboarding, and enhance integration with non-AWS services.

Ease of Deployment and Customer Service: Vertica is versatile in deployment, supporting private, public, hybrid, and on-premises environments, with excellent customer support. AWS Lake Formation is primarily deployed in public cloud environments with strong AWS ecosystem integration but noted for complex navigation and setup.

Pricing and ROI: Vertica's pricing is high, but offers substantial ROI through efficient storage and cost savings in the long run. AWS Lake Formation's pricing is complex due to its integration with other AWS services but competitive within the AWS ecosystem, despite possibly being more expensive than OpenStack alternatives.

To learn more, read our detailed AWS Lake Formation vs. OpenText Analytics Database (Vertica) Report (Updated: June 2026).

Buyer's Guide

AWS Lake Formation vs. OpenText Analytics Database (Vertica)

June 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

AWS Lake Formation

Ranking in Cloud Data Warehouse

10th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Analytics Database...

Ranking in Cloud Data Warehouse

11th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th)

Mindshare comparison

As of August 2026, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 3.5%, down from 5.7% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.0%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
AWS Lake Formation	3.5%
OpenText Analytics Database (Vertica)	5.0%
Other	91.5%

Cloud Data Warehouse

Featured Reviews

Ciro Baldim Guerra

Sr Analytics Engineer at Itau Unibanco S.A.

Has improved data governance by enabling clear ownership and structured access across teams

In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.

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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

"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."

"The main benefits that I have seen from using AWS Lake Formation are related to FinOps because you have control of your data and can track your costs since AWS Lake Formation is integrated into a unique platform, which is AWS Cloud Service."

"AWS Lake Formation lets you see all your data and tables on one screen."

"I can easily move data from cold storage to regular storage."

"The most valuable features of AWS Lake Formation were the access model itself, as it allows implementation of filters, Blueprints, and row-level and column-level security to mask data that shouldn't be accessed by certain entities, enabling granular control without exposing PII data."

"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."

"We have observed measurable benefits in terms of cost savings, time savings, resource savings, and efficiency improvements in our workflows."

"AWS Lake Formation has several valuable features that enhance data management, and one particularly beneficial aspect is how it facilitates better collaboration within data teams."

More AWS Lake Formation pros

"The most valuable feature of Vertica is the unmatchable database performance at a fraction of cost compared to other similar databases."

"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."

"Before we used Vertica we used another columnar database which turned out to be very unstable and its performance was inconsistent, Vertica turned that around, to the point that it is now our go-to database."

"It is the foundation of our new Data Warehouse platform."

"Customer Service: Excellent! Technical Support: Excellent!"

"Customer Service: Great Technical Support: Great"

"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 Vertica as our primary data warehouse."

More OpenText Analytics Database (Vertica) pros

Cons

"The UI of AWS Lake Formation is not very responsive."

"AWS Lake Formation might not be easy to learn initially, especially for technical staff, due to various underlying options."

"Rather than creating an additional hundred tools, optimizing a tool to have a centralized location to do governance would be beneficial."

"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."

"I would appreciate online support, which I don't have access to in my corporation at the bank, so that is important."

"In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support."

"Despite following official documentation, configuration problems persisted, requiring weeks of support from multiple AWS engineers to resolve."

"The main challenge we faced with AWS Lake Formation was related to cross-account sharing. Granting access to other AWS accounts for tables or databases in a different AWS account was somewhat difficult."

More AWS Lake Formation cons

"Better feedback from installation. I would like to see more meaningful errors returned and more graceful handling of those."

"Their support is really bad. Maybe Micro Focus has changed but they were not good before."

"Even with some optimization (adding projections for merge joins and grouped by pipelined), it's still taking a longer time than a Spark job in some cases."

"There have been some issues with deleting and updating data from tables."

"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."

"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."

"I would love to see direct connections to other DMSs."

"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."

"Vertica is an expensive tool."

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

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

"Read the fine print carefully."

"From a cost perspective, the software is less than most of its competitors."

"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."

"It's free up to three nodes and 1TB, and then get in contact with their sales guys."

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

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Construction Company

Outsourcing Company

Manufacturing Company

Financial Services Firm

16%

Outsourcing Company

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	15

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

Questions from the Community

What is your experience regarding pricing and costs for AWS Lake Formation?

I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...

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What needs improvement with AWS Lake Formation?

Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...

See all answers

What is your primary use case for AWS Lake Formation?

My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...

See all answers

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

Comparisons

Amazon Redshift vs AWS Lake Formation

Compared 12% of the time

Snowflake vs AWS Lake Formation

Compared 10% of the time

Databricks vs AWS Lake Formation

Compared 10% of the time

Azure Data Factory vs AWS Lake Formation

Compared 9% of the time

BigQuery vs AWS Lake Formation

Compared 7% of the time

More AWS Lake Formation Competitors

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

IBM Netezza Performance Server vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

AWS Lake Formation

August 2026

Download AWS Lake Formation product report

Buyer's Guide

OpenText Analytics Database (Vertica)

July 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

AWS Lake Formation streamlines data lake organization by integrating seamlessly with AWS services, ensuring robust access control, and facilitating effective data management. Its extensible framework and centralized data handling make it ideal for cloud environments that require scalability.

AWS Lake Formation offers comprehensive data synchronization with AWS, robust security through fine-grained policies, and seamless team collaboration tools. It centralizes data assets, supports analytics with Glue, and enhances data mesh structures. Its IAM integration supports efficient governance, with reliable data storage and retrieval backed by extensive documentation. While highly efficient within AWS ecosystems, Lake Formation faces integration challenges with third-party libraries, and users experience clutter in its interface. Aspects such as automation, policy management, and debugging are areas for improvement. Enhancements in orchestration, cross-account sharing, and integrations with services like SageMaker are user recommendations.

What are the key features of AWS Lake Formation?

Data Synchronization: Integrates with AWS services for seamless data management.
Security Policies: Implements fine-grained access control for secure data handling.
Team Collaboration: Facilitates cooperation through centralized data management.
Analytics Support: Enhances data processing with Glue integration.
Extensibility: IAM integration allows scalable governance.

What benefits or ROI can users expect?

Scalability: Efficiently manages expanding data volumes.
Cost Efficiency: Reduces cloud data management expenses.
Data Security: Ensures compliance with robust policies.
Comprehensive Support: Access to detailed documentation and AWS resources.

Organizations utilize AWS Lake Formation across various industries to build and manage data lakes, ensuring effective data governance and storage solutions. It helps integrate and transform data, control permissions, and support analytics. From e-commerce to healthcare, AWS Lake Formation delivers centralized data repositories for structured and unstructured data, securing information while providing scalable infrastructure and efficient resource management.

Amazon Web Services (AWS)

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

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

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

Buyer's Guide

AWS Lake Formation vs. OpenText Analytics Database (Vertica)

June 2026

Free Report: AWS Lake Formation vs. OpenText Analytics Database (Vertica)

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