OpenText Analytics Database (Vertica) vs Oracle Database In-Memory comparison

The compared OpenText and Oracle solutions aren't in the same category. OpenText is ranked #5 in Data Warehouse , with an average rating of 8.3, and holds a 5.8% mindshare in the category. Oracle is ranked #2 in EDS , with an average rating of 8.5, and holds a 11.9% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

7,140 Views
3,784 Comparison Views

91% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

2,788 Views
1,115 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Oracle Database In-Memory

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Executive Summary

We performed a comparison between OpenText Analytics Database (Vertica) and Oracle Database In-Memory based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.

To learn more, read our detailed Data Warehouse Report (Updated: June 2026).

Buyer's Guide

Data Warehouse

June 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:

ROI

Sentiment score

6.2

Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.

Sentiment score

4.3

Oracle Database In-Memory offers substantial ROI and benefits, though support costs may impact long-term finances for some users.

I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.

Prassingh Singh

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

The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

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

No quotes available

For more quotes and insights, download the Oracle Database In-Memory report

Customer Service

Sentiment score

7.1

OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.

Sentiment score

5.5

Oracle Database In-Memory customer service improves in some regions but is inconsistent, with users finding varied support experiences.

Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.

Prassingh Singh

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

Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.

Jitendrak Naik

consultant at tcs

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

Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

I rate the technical support of Oracle an eight or nine out of ten.

Muhammad Azeem Khan

Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital

The technical support from Oracle is very good.

Hosney Osman

Technical Solution Architect at Vodafone

For more quotes and insights, download the Oracle Database In-Memory report

Scalability Issues

Sentiment score

7.2

OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.

Sentiment score

7.7

Oracle Database In-Memory is highly scalable and easily adjustable, effectively managing large datasets and supporting enterprise needs.

We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.

Jitendrak Naik

consultant at tcs

OpenText Analytics Database (Vertica) has very good scalability.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

OpenText Analytics Database (Vertica) can scale to a great extent.

Anuj Chourasia

Analytics Manager at a wholesaler/distributor with 10,001+ employees

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

No quotes available

For more quotes and insights, download the Oracle Database In-Memory report

Stability Issues

Sentiment score

7.2

OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.

Sentiment score

7.6

Users find Oracle Database In-Memory stable and reliable, despite occasional bugs and high maintenance needs for resource-intensive setups.

OpenText Analytics Database (Vertica) is very stable.

Prassingh Singh

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

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

It was very difficult to move data from on-site to cloud in one attempt at the start, because we didn't have sufficient bandwidth to copy the data files to the cloud.

Muhammad Azeem Khan

Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital

Oracle Database In-Memory is stable, which means there are no glitches or issues.

Hosney Osman

Technical Solution Architect at Vodafone

For more quotes and insights, download the Oracle Database In-Memory report

Room For Improvement

OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.

Oracle Database In-Memory users seek enhancements in cost, installation, integration, security, scalability, interface, and column store support.

Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.

Jitendrak Naik

consultant at tcs

Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.

Prassingh Singh

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

OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

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

Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

The area where improvement is required the most in the product is the UI.

Hosney Osman

Technical Solution Architect at Vodafone

For more quotes and insights, download the Oracle Database In-Memory report

Setup Cost

OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.

Oracle Database In-Memory is costly, yet offers valuable performance and features, benefiting larger enterprises despite high licensing fees.

The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.

Prassingh Singh

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

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

Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

The pricing for Oracle Database In-Memory is more affordable.

Muhammad Azeem Khan

Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital

For more quotes and insights, download the Oracle Database In-Memory report

Valuable Features

OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.

Oracle Database In-Memory enhances performance with real-time analytics, backward compatibility, automated configuration, fast queries, and efficient management.

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.

Prassingh Singh

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

Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.

Jitendrak Naik

consultant at tcs

The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

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

The biggest benefit of Oracle Database In-Memory is dealing with a huge amount of information without any latency for our response time.

Hosney Osman

Technical Solution Architect at Vodafone

The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

For more quotes and insights, download the Oracle Database In-Memory report

Categories and Ranking

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Cloud Data Warehouse (11th)

Oracle Database In-Memory

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Embedded Database (2nd), Relational Databases Tools (11th)

Mindshare comparison

OpenText Analytics Database (Vertica) and Oracle Database In-Memory aren’t in the same category and serve different purposes. OpenText Analytics Database (Vertica) is designed for Data Warehouse and holds a mindshare of 5.8%, down 7.8% compared to last year.
Oracle Database In-Memory, on the other hand, focuses on Embedded Database, holds 11.9% mindshare, up 8.1% since last year.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.8%
Snowflake	9.3%
Teradata	8.7%
Other	76.2%

Data Warehouse

Embedded Database Mindshare Distribution
Product	Mindshare (%)
Oracle Database In-Memory	11.9%
SQLite	14.9%
Firebird SQL	12.9%
Other	60.3%

Embedded Database

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.

Read full review

Hosney Osman

Technical Solution Architect at Vodafone

Real-time analytics have transformed response times and support huge data volumes with compression

I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a very powerful infrastructure. The area where improvement is required the most in the product is the UI. The problem with the UI is that it is not complex for understanding, but it needs some training to know what each button does, how it works, and the many variables needed.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

Financial Services Firm

14%

Comms Service Provider

Marketing Services Firm

Construction 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	6
Midsize Enterprise	4
Large Enterprise	23

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 Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

See all answers

What needs improvement with Oracle Database In-Memory?

See all answers

What is your primary use case for Oracle Database In-Memory?

The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.

See all answers

Comparisons

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 5% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

SAP HANA vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 10% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 6% of the time

IBM Db2 Database vs Oracle Database In-Memory

Compared 5% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

May 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Oracle Database In-Memory

May 2026

Download Oracle Database In-Memory 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 Database In-Memory enhances performance for analytics and data warehousing, addressing large data volumes with real-time processing and advanced transaction capabilities. Its columnar storage accelerates analytic queries, with stability supporting deployment across diverse scales.

Oracle Database In-Memory provides an efficient platform for mixed-workload environments, optimizing performance and accelerating query processing. Its ability to handle OLAP queries without impacting latency-critical OLTP operations aids real-time data transfer, analytics, and reporting. Users across different industries implement it for business intelligence, data transactions, and decision-making, utilizing both on-premises and cloud platforms for applications such as banking and commerce. Despite its benefits, users cite needs for improved interface, better stability, and enhanced AI capabilities. Security, integration, and technical support remain critical considerations.

What are the key features of Oracle Database In-Memory?

Enhanced Performance: Boosts analytics and data warehousing efficiency.
Advanced Security: Offers robust options like Database Vault.
Real-Time Processing: Ensures efficient data handling.
Columnar Storage: Speeds up analytic query processing.
Scalability: Supports deployment across large databases.

What benefits or ROI should users expect from Oracle Database In-Memory?

Increased Efficiency: Accelerates query processing and data management.
Improved Stability: Reliable for diverse scales and workloads.
Real-Time Insights: Facilitates immediate data analysis and decision-making.
Cost Efficiency: Potential savings on data process optimization.
Scalability: Easily supports growth and expanding data needs.

In industries like banking, Oracle Database In-Memory is pivotal for enhancing transaction processing and analytics, offering improved security and real-time data management. Businesses in commercial sectors leverage it for decision support, employing both on-premises and cloud solutions, facilitating seamless data operation and strategic advantage.

Oracle

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