OpenText Analytics Database (Vertica) vs Oracle Autonomous Data Warehouse comparison

OpenText and Oracle are both solutions in the Cloud Data Warehouse category. OpenText is ranked #12 with an average rating of 7.8, while Oracle is ranked #11 with an average rating of 7.7. OpenText holds a 5.7% mindshare in CDW, compared to Oracle’s 5.7% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 95% of Oracle users who would recommend it.

OpenText Analytics Database...

Read 87 OpenText Analytics Database (Vertica) reviews

4,097 Views
1,721 Comparison Views

91% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

2,219 Views
1,664 Comparison Views

95% willing to recommend

OpenText Analytics Database...

Oracle Autonomous Data Ware...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 28, 2025

OpenText Analytics Database (Vertica) and Oracle Autonomous Data Warehouse compete in the analytics and data warehousing category. Vertica seems to have the upper hand due to its data compression and scalability, but Oracle's automation features make it a strong contender.

Features: Vertica excels in data compression, scalability, and high-speed processing using columnar storage, enabling efficient data handling and real-time analytics. It supports complex SQL queries and concurrent user access. Oracle Autonomous Data Warehouse offers automation for tuning and scaling, utilizes Exadata technology for enhanced performance, and integrates well with cloud services, ensuring automated security and maintenance.

Room for Improvement: Vertica faces challenges with transaction handling and documentation, with users desiring better workload management tools. Oracle can enhance its support for JSON and semi-structured data, as well as improve flexibility in private network integrations.

Ease of Deployment and Customer Service: Vertica is praised for its diverse deployment options, including on-premises and hybrid environments, with generally positive customer service. Oracle simplifies deployment with its cloud-focused approach, though this limits flexibility for private clouds. Customer service efficiency is noted, with room for improved technical support.

Pricing and ROI: Vertica offers licensing based on data size for predictable budgeting, though initial investments can be high. Its strong performance and scalability ensure high ROI. Oracle uses a pay-as-you-go model, providing flexibility, especially for varying workloads, with significant integration and adaptability benefits noted.

To learn more, read our detailed OpenText Analytics Database (Vertica) vs. Oracle Autonomous Data Warehouse Report (Updated: February 2026).

Buyer's Guide

OpenText Analytics Database (Vertica) vs. Oracle Autonomous Data Warehouse

February 2026

Download the complete report

Helped 882,207 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 Cloud Data Warehouse

12th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (10th)

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

11th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Cloud Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 5.7%, up from 5.6% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.7%, up from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Oracle Autonomous Data Warehouse	5.7%
OpenText Analytics Database (Vertica)	5.7%
Other	88.6%

Cloud Data Warehouse

Featured Reviews

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Reporting has become faster and more cost-effective but data cleanup and writes still need work

The best features OpenText Analytics Database (Vertica) offers are that it is parallel, with Massively Parallel Processing (MPP), and it is a columnar database. It works in append-only mode, which is ideal for analytics and read queries. Additionally, I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes. That helped me save costs. Beyond that, it is massively scalable, which was quite useful for our fintech use case. The read speed was excellent, and the data compression is good. OpenText Analytics Database (Vertica) has positively impacted our organization by helping us reduce storage costs and improve reporting efficiency in our fintech company. The analytics team could run reports much faster, and we saved significant costs on compute and storage, especially with Eon mode and compression.

Read full review

reviewer1297710

IT Administrator at a manufacturing company with 1,001-5,000 employees

Analytics and data security needs are met but optimization requires improvement

We are using Oracle Autonomous Data Warehouse for analytics in my company The solution is used for analytics and it works for our data security needs. We continue to use it with satisfaction. Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not…

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

"Eighty percent of the ETL operations have improved since implementing this solution."

"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."

"It has improved my organization's functionality and performance."

"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."

"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."

"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."

"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."

More OpenText Analytics Database (Vertica) pros

"The product is easy to use."

"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."

"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."

"The solution is used for analytics and it works for our data security needs."

"The analytics have been very good. We've found them to be quite useful."

"The product has self-repair features."

"The solution is used for analytics and it works for our data security needs."

"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."

More Oracle Autonomous Data Warehouse pros

Cons

"I have found that coding support could be simplified."

"The documentation of Vertica is an area with shortcomings where improvements are required."

"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."

"In our company, we have faced difficulties in scaling the solution for certain use cases."

"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."

"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."

"Documentation has become much better, but can always use some improvement."

"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

"The setup is complex."

"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."

"Optimization should be better."

"The solution lacks visibility options."

"A lot of the tools that were previously there have now been taken away."

"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."

"Oracle Autonomous Data Warehouse is not available as an on-premises solution."

"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

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

"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."

"Vertica is an expensive tool."

"The solution is free and we pay for the storage."

"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."

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

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

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

More OpenText Analytics Database (Vertica) pricing and cost advice

"The price depends on the configuration we choose."

"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."

"We pay approximately $70,000 per month. The cost includes maintenance and support."

"The solution's cost is reasonable."

"The cost is perfect with Oracle Universal credit."

"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."

"You pay as you go, and you don't pay for services that you don't use."

"ROI is high."

More Oracle Autonomous Data Warehouse pricing and cost advice

See which vendors are best for you

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

See recommendations

882,207 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Manufacturing Company

10%

Media Company

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	39

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	11

Questions from the Community

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

What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?

We pay approximately $70,000 per month. The cost includes maintenance and support.

See all answers

What needs improvement with Oracle Autonomous Data Warehouse?

Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.

See all answers

What is your primary use case for Oracle Autonomous Data Warehouse?

We are using Oracle Autonomous Data Warehouse for analytics in my company.

See all answers

Comparisons

Teradata vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Databricks vs OpenText Analytics Database (Vertica)

Compared 7% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 6% of the time

SQL Server vs OpenText Analytics Database (Vertica)

Compared 6% of the time

More OpenText Analytics Database (Vertica) Competitors

BigQuery vs Oracle Autonomous Data Warehouse

Compared 25% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 15% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 10% of the time

Snowflake Analytics vs Oracle Autonomous Data Warehouse

Compared 4% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

January 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Oracle Autonomous Data Warehouse

January 2026

Download Oracle Autonomous Data Warehouse product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

No data available

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

Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.

Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

Oracle

Sample Customers

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

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank

Buyer's Guide

OpenText Analytics Database (Vertica) vs. Oracle Autonomous Data Warehouse

February 2026

Free Report: OpenText Analytics Database (Vertica) vs. Oracle Autonomous Data Warehouse

Find out what your peers are saying about OpenText Analytics Database (Vertica) vs. Oracle Autonomous Data Warehouse and other solutions. Updated: February 2026.

DOWNLOAD NOW

882,207 professionals have used our research since 2012.

See our OpenText Analytics Database (Vertica) vs. Oracle Autonomous Data Warehouse report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud 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.