Databricks vs OpenText Analytics Database (Vertica) comparison

Databricks and OpenText are both solutions in the Cloud Data Warehouse category. Databricks is ranked #9 with an average rating of 8.4, while OpenText is ranked #11 with an average rating of 8.0. Databricks holds a 8.3% mindshare in CDW, compared to OpenText’s 6.1% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

Databricks

Read 91 Databricks reviews

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2,027 Comparison Views

96% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

4,228 Views
1,903 Comparison Views

91% willing to recommend

Databricks

OpenText Analytics Database...

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Executive SummaryUpdated on Sep 21, 2025

OpenText Analytics Database (Vertica) and Databricks compete in the analytics and big data processing category. Vertica seems to have the upper hand in scalability and cost-effectiveness, while Databricks shines in machine learning integration and ease of cloud deployment.

Features: Vertica offers scalability, data compression, and clustering, making it effective for handling massive datasets. It maintains high query performance and is straightforward to maintain. Databricks' standout features include robust machine learning capabilities, collaborative notebooks, and the ability to seamlessly integrate with various programming languages, making it versatile for various workflows.

Room for Improvement: Vertica could improve on enhanced workload management, better documentation, and support for DML operations. Users note the need for improved concurrency handling. Databricks could benefit from better integration with BI tools, improved debugging capabilities, and clearer pricing transparency. Each platform could also enhance visualization, documentation, and user interface to become more accessible to non-technical users.

Ease of Deployment and Customer Service: Vertica provides flexible deployment, including on-premises and hybrid solutions. Users have mixed feedback on technical support, citing quick response times with some quality inconsistencies. Databricks is praised for its seamless public cloud deployment and strong customer service, although some users seek enhanced customer support proficiency.

Pricing and ROI: Vertica's licensing model is simple and transparent, with competitive pricing based on data size, offering favorable ROI due to its performance and cost-effectiveness for large data volumes. Databricks uses a pay-per-use model, with some users considering it costly, yet its scalability and cloud infrastructure provide significant ROI potential for projects requiring extensive data processing capabilities.

To learn more, read our detailed Databricks vs. OpenText Analytics Database (Vertica) Report (Updated: September 2025).

Buyer's Guide

Databricks vs. OpenText Analytics Database (Vertica)

September 2025

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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:

ROI

Sentiment score

6.5

Databricks efficiently lowers costs with cloud services, though ROI varies by sector and integration, particularly with Azure.

Sentiment score

6.9

Users report significant ROI from OpenText Analytics Database due to enhanced analytics, performance, and data accessibility, despite its cost.

When it comes to big data processing, I prefer Databricks over other solutions.

IshwarSukheja

Head CEO at bizmetric

For a lot of different tasks, including machine learning, it is a nice solution.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

For more quotes and insights, download the Databricks report

No quotes available

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Customer Service

Sentiment score

7.2

Databricks support is praised for prompt, professional service, comprehensive resources, and effective communication, enhancing overall user satisfaction.

Sentiment score

7.0

OpenText Analytics Database customer service is praised for knowledgeable support, though some users report slow response and escalation needs.

Whenever we reach out, they respond promptly.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

As of now, we are raising issues and they are providing solutions without any problems.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.

Lax Kas

Data Engineer at CRAFT Tech

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No quotes available

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Scalability Issues

Sentiment score

7.4

Databricks is praised for its scalability, enabling easy adaptation to large data and user loads with efficient resource management.

Sentiment score

7.1

OpenText Analytics Database (Vertica) excels at scaling large data volumes but faces challenges with schema modifications and node additions.

The patches have sometimes caused issues leading to our jobs being paused for about six hours.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

I would rate the scalability of this solution as very high, about nine out of ten.

Lax Kas

Data Engineer at CRAFT Tech

Databricks is an easily scalable platform.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

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No quotes available

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Stability Issues

Sentiment score

7.7

Databricks is stable and robust, with minor issues, handling large data volumes and earning high stability ratings.

Sentiment score

7.1

OpenText Analytics Database (Vertica) is stable and robust, with minor query and network issues noted by users.

They release patches that sometimes break our code.

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Databricks is definitely a very stable product and reliable.

AvivCohen

Data Engineer at Cellebrite

Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

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No quotes available

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Room For Improvement

Databricks requires visualization improvements, pricing clarity, user-friendliness, expanded integrations, and simplification for non-technical users to enhance usability.

OpenText Analytics Database needs better workload management, documentation, SQL optimization, cloud support, machine learning, and cost efficiency.

We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

They're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further.

Lax Kas

Data Engineer at CRAFT Tech

It would be beneficial to have utilities where code snippets are readily available.

IshwarSukheja

Head CEO at bizmetric

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No quotes available

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Setup Cost

Enterprise buyers view Databricks as moderately pricey, with high setup costs, though discounts and licensing flexibility are available.

OpenText Analytics Database offers flexible pricing based on storage, with competitive costs, community edition, and negotiable licensing options.

It is not a cheap solution.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

For more quotes and insights, download the Databricks report

No quotes available

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Valuable Features

Databricks excels in scalability, integration, and user-friendly features, making it ideal for data processing and AI across industries.

OpenText Analytics Database offers rapid data processing, scalability, ease of use, and cost efficiency with advanced analytics capabilities.

The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.

Lax Kas

Data Engineer at CRAFT Tech

Databricks' capability to process data in parallel enhances data processing speed.

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.

Prabhakar Bonam

Data Platform Architect at KELLANOVA

For more quotes and insights, download the Databricks report

No quotes available

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Categories and Ranking

Databricks

Ranking in Cloud Data Warehouse

9th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (1st), Streaming Analytics (1st)

OpenText Analytics Database...

Ranking in Cloud Data Warehouse

11th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (7th)

Mindshare comparison

As of September 2025, in the Cloud Data Warehouse category, the mindshare of Databricks is 8.3%, up from 5.6% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.1%, up from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Databricks	8.3%
OpenText Analytics Database (Vertica)	6.1%
Other	85.6%

Cloud Data Warehouse

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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T Venkatesh

Deputy Manager at ICICIBANK Ltd

Processes query faster through multiple systems simultaneously, but it could support different data types

We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Financial Services Firm

18%

Computer Software Company

16%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	56

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	38

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

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How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

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Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

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What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

See all answers

What is your experience regarding pricing and costs for Vertica?

The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.

See all answers

What needs improvement with Vertica?

The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.

See all answers

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Compared 13% of the time

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Compared 12% of the time

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Compared 9% of the time

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Compared 8% of the time

Actian ParAccel vs OpenText Analytics Database (Vertica)

Compared 3% of the time

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Product Reports

Buyer's Guide

Databricks

September 2025

Download Databricks product report

Buyer's Guide

OpenText Analytics Database (Vertica)

September 2025

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

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

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

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

Buyer's Guide

Databricks vs. OpenText Analytics Database (Vertica)

September 2025

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