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

Why PeerSpot?

OpenText and Oracle are both solutions in the Cloud Data Warehouse category. OpenText is ranked #12 with an average rating of 8.5, while Oracle is ranked #14 with an average rating of 6.0. OpenText holds a 5.2% mindshare in CDW, compared to Oracle’s 4.1% 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 90 OpenText Analytics Database (Vertica) reviews

10,194 Views
3,160 Comparison Views

91% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

3,863 Views
2,781 Comparison Views

95% willing to recommend

OpenText Analytics Database...

Oracle Autonomous Data Ware...

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Executive SummaryUpdated on Mar 29, 2026

OpenText Analytics Database Vertica and Oracle Autonomous Data Warehouse compete in the analytics database market. OpenText Vertica seems to have the upper hand with its high query performance, scalability, and integration capabilities.

Features: OpenText Vertica offers simple implementation and integration with open-source tools, superior parallel processing, and columnar storage for enhanced query performance and storage optimization. It supports cost-effective storage solutions like Amazon S3. Oracle Autonomous Data Warehouse provides self-tuning, auto-scaling features, and seamless Oracle Cloud integration, which are ideal for enterprises emphasizing automation and reduced overhead.

Room for Improvement: OpenText Vertica could improve its cloud-native features, documentation, and advanced analytical functions support. It also needs better data management, particularly in the deletion process. Oracle Autonomous Data Warehouse should enhance platform integration, simplify its user interface, and offer better storage options and data types support for enterprise flexibility.

Ease of Deployment and Customer Service: OpenText Vertica provides flexible deployment options, including on-premises, private, and public clouds, fitting various organizational environments with positive customer service feedback. Oracle Autonomous Data Warehouse, focused on cloud deployment, is easy to deploy in public and private clouds, but customer support experiences vary, with some noting less personal engagement.

Pricing and ROI: OpenText Vertica offers competitive pricing, especially with storage efficiencies, and a flexible pricing model, including a free option up to a certain capacity. Oracle Autonomous Data Warehouse, while more expensive, reflects its comprehensive features and automation capabilities, providing good value for users leveraging its full potential, though at higher costs than OpenText for similar capacities.

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

Buyer's Guide

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

September 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

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th)

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

14th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Cloud Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 5.2%, down from 6.1% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.1%, down from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.2%
Oracle Autonomous Data Warehouse	4.1%
Other	90.7%

Cloud Data Warehouse

Featured Reviews

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.

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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

"The data warehouse has exceedingly high performance and has the ability to do large scale queries very effectively."

"Do you want to stand up a data warehouse in a reasonable amount of time using the in-house skills accustomed to dealing with an RDBMS? If that is the case, nothing beats Vertica, hands down."

"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."

"It provides very fast query performance after good designs of projections."

"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."

"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."

"Vertica is very robust and recovers predictably from unexpected infrastructure failures."

"We gain insights into data in real-time with blazing, fast SQL analytics across exabytes of data."

More OpenText Analytics Database (Vertica) pros

"The integration feature is very good because you can automate protection security automatically, restricting the access of unauthorized people."

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

"The product has self-repair features."

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

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

"Amazing performance, it is a revolution."

"The performance and scalability are awesome."

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

More Oracle Autonomous Data Warehouse pros

Cons

"Support is an area where it could get better."

"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."

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

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

"It should provide a GUI interface for data management and tuning."

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

"The integration with AI has room for improvement."

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

More OpenText Analytics Database (Vertica) cons

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

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

"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."

"They should make the solution more user-friendly."

"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."

"Ease of connectivity could be improved."

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

"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."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

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

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

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

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

"The solution is relatively cost-effective."

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

"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."

"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."

More OpenText Analytics Database (Vertica) pricing and cost advice

"The price depends on the configuration we choose."

"ROI is high."

"The cost is perfect with Oracle Universal credit."

"The solution's cost is reasonable."

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

"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."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

13%

Manufacturing Company

10%

Comms Service Provider

Financial Services Firm

12%

Media Company

10%

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

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

Questions from the Community

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

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 7% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 5% of the time

Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica)

Compared 4% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

BigQuery vs Oracle Autonomous Data Warehouse

Compared 13% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 10% of the time

VMware Tanzu Data Solutions vs Oracle Autonomous Data Warehouse

Compared 8% of the time

Apache Hadoop vs Oracle Autonomous Data Warehouse

Compared 2% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

October 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Oracle Autonomous Data Warehouse

October 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 a cloud-based service offering advanced data management capabilities, including automated administration and high performance for analytics tasks. It is ideal for enterprises prioritizing security, easy maintenance, and dynamic scale.

Oracle Autonomous Data Warehouse stands out by offering self-managing capabilities that minimize administrative overhead, allowing organizations to focus on data-driven decision-making. With features such as transparent data encryption, seamless cloud integration, and automated query tuning, it ensures secure and efficient data operations. Its architecture separates compute and storage, enhancing scalability and performance. Despite its setup complexity and higher cost than some competitors, it offers deep integration with Oracle Database, ensuring reliable performance and fast data exchange.

What features define Oracle Autonomous Data Warehouse?

Self-Patching: Automatically updates to ensure security and performance.
Auto-Scaling: Dynamically adjusts resources to meet workload demands.
Query Tuning: Optimizes queries for better performance without user intervention.
Seamless Cloud Integration: Easily connects with Oracle and other cloud applications.
Transparent Data Encryption: Provides secure data handling to meet compliance needs.
Smart Scan: Efficiently processes queries to reduce data retrieval times.

What benefits can be expected from Oracle Autonomous Data Warehouse?

Cost-Effectiveness: Reduces operational costs through automation and serverless operations.
High Security: Ensures data protection with encryption and isolated resources.
Performance Enhancement: High-speed data processing and query response times.
Easy Maintenance: Minimal administrative tasks due to automation.
Scalability: Effortlessly scales resources to accommodate growth.

Oracle Autonomous Data Warehouse is widely used in finance, banking, transport, and manufacturing, supporting data analytics in financial systems, procurement, and student management. It facilitates large-scale transaction processing, offering centralized reporting and dynamic resource allocation, which is crucial for enhancing performance across industries.

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

September 2026

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