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

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

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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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Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

Provides self-repair features, but the setup is complex

We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

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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

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

"I enjoy the cybersecurity and backup features."

"The initial setup was straightforward."

"The most valuable feature of Vertica is the unmatchable database performance."

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

"It maximize cloud economics for mission-critical big data analytical initiatives."

"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."

"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."

More OpenText Analytics Database (Vertica) pros

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

"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."

"It is a very stable tool...It is an extremely scalable tool."

"A very good integration feature that restricts access to unauthorized people."

"The solution integrates well with Power BI."

"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."

"The performance and scalability are awesome."

"It is a stable and scalable solution."

More Oracle Autonomous Data Warehouse pros

Cons

"Vertica can improve automation and documentation. Additionally, the solution can be simplified."

"Fact-to-fact joins on multi-billion record tables perform poorly."

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

"The geospatial functionality could be designed better."

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

"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."

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

"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."

More OpenText Analytics Database (Vertica) cons

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

"The installation process is complex. Oracle can make the installation process better."

"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."

"The solution lacks visibility options."

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

"The setup is complex."

"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."

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

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."

"I am aware that we have licensed it, but I have no knowledge of its cost."

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

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

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

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

"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 pricing could improve, it is a little expensive."

More OpenText Analytics Database (Vertica) pricing and cost advice

"ROI is high."

"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."

"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."

"The solution is expensive."

"The cost is perfect with Oracle Universal credit."

"The solution's cost is reasonable."

"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."

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

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	41

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.

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.

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.

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.

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.

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

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

Teradata vs OpenText Analytics Database (Vertica)

Comparisons

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 7% 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

Apache Hadoop vs Oracle Autonomous Data Warehouse

Compared 3% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

OpenText Analytics Database (Vertica)

Download OpenText Analytics Database (Vertica) product report

OpenText Analytics Database (Vertica) report

Oracle Autonomous Data Warehouse

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

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