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 88 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...

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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

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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

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.

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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…

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Quotes from Members

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

Pros

"Partition and join back to node are easy and simple for DBAs."

"OpenText Analytics Database (Vertica) has impacted our organization positively because earlier we used to use Teradata, and it was very slow, creating issues with processing as well, and OpenText Analytics Database (Vertica) has helped us a lot in terms of processing capabilities and the speed of querying."

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."

"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."

"The initial setup was straightforward."

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

"OpenText Analytics Database (Vertica) has positively impacted our organization by helping us reduce storage costs and improve reporting efficiency in our fintech company."

"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

"One advantage is that if you already have an Oracle Database, it easily integrates with that."

"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."

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

"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."

"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."

"Self-patching and runs machine-learning across its logs all the time"

More Oracle Autonomous Data Warehouse pros

Cons

"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."

"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."

"OpenText Analytics Database (Vertica) does not support hard delete, and they perform soft delete, which is the case with all columnar databases."

"The integration of this solution with ODI could be improved."

"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."

"Pricing could be more competitive."

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

More OpenText Analytics Database (Vertica) cons

"I would like to see an on-premise solution in the future."

"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."

"Optimization should be better."

"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."

"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."

"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."

"We are not satisfied with the technical support. Their understanding is lacking."

"The initial setup was pretty complex. It was not easy."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"Vertica is an expensive tool."

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

"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."

"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."

"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."

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

"Read the fine print carefully."

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

More OpenText Analytics Database (Vertica) pricing and cost advice

"The solution is expensive."

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

"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."

"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."

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

"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."

"The solution's cost is reasonable."

More Oracle Autonomous Data Warehouse pricing and cost advice

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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	40

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 24% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 14% 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

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