DataStax Enterprise vs OpenText Analytics Database (Vertica) comparison

Why PeerSpot?

IBM and OpenText are both solutions in the NoSQL Databases category. Additionally, 100% of IBM users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

DataStax Enterprise

Read 7 DataStax Enterprise reviews

2,024 Views
1,133 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

9,432 Views
5,376 Comparison Views

91% willing to recommend

DataStax Enterprise

OpenText Analytics Database...

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Executive Summary

We performed a comparison between DataStax Enterprise and OpenText Analytics Database (Vertica) based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, MongoDB, Redis and others in NoSQL Databases.

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NoSQL Databases

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:

ROI

Sentiment score

5.4

Entities saved costs, improved performance, and reduced time to market with DataStax Enterprise, achieving 99.9% uptime and efficiency.

Sentiment score

6.2

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

We have seen a return on investment with DataStax Enterprise as we saved a lot of money and time, despite investing more on infrastructure; our ongoing business success with a 99.9% uptime helps us earn more.

AshishSingh3

Senior database engineer at ToTheNew

Earlier it was around 15 months, and we have been able to deploy and scale our application within 10 months.

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

We realized significant cost savings after migrating to DataStax Enterprise, as the previously slow critical queries now run significantly faster, improving efficiency and performance metrics across the board.

Pdixit Dixit

Solution Architect at a consultancy with 51-200 employees

For more quotes and insights, download the DataStax Enterprise report

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

Customer Service

Sentiment score

7.8

DataStax Enterprise support is highly praised for efficiency, responsiveness, quick resolutions, and knowledgeable, proactive assistance.

Sentiment score

7.1

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

I would rate the customer support a 10 because I always receive the help I need from them.

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Any requests I have raised receive prompt responses, often within minutes.

Pdixit Dixit

Solution Architect at a consultancy with 51-200 employees

Real-time transaction processing, both reads and writes, is where DataStax Enterprise shines the most.

Suzanne Kimono

Senior Software Engineer at Deloitte

For more quotes and insights, download the DataStax Enterprise report

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

Scalability Issues

Sentiment score

8.7

DataStax Enterprise offers exceptional scalability and efficiency, enhancing performance, reducing costs, and supporting multi-region deployments with active-active architecture.

Sentiment score

7.2

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

Overall, we saw a decrease in operational costs due to better resource usage and less manual work, which made my team more efficient and allowed us to focus on new projects.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

DataStax Enterprise's scalability is very fast with linear scalability and hence is very scalable.

Suzanne Kimono

Senior Software Engineer at Deloitte

The active-active architecture helped us really scale and provide data to both Singapore and Indian users.

Shubham-Kumar

Senior Engineer at a financial services firm with 10,001+ employees

For more quotes and insights, download the DataStax Enterprise report

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

Stability Issues

Sentiment score

8.2

DataStax Enterprise shows strong stability and scalability, reducing downtime by 40% and effectively supporting extensive organizational demands.

Sentiment score

7.2

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

DataStax Enterprise provides enough stability for our organization, and scaling can be done up to terabytes and petabytes.

Shubham-Kumar

Senior Engineer at a financial services firm with 10,001+ employees

After using DataStax Enterprise, our system downtime dropped by approximately 40%, helping us avoid lost revenue.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

For more quotes and insights, download the DataStax Enterprise report

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

Room For Improvement

DataStax Enterprise needs enhanced UI, automation, compatibility, support, and cost effectiveness to reduce complexity and improve processes.

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

There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Better compatibility with prior versions in terms of codebases should also be improved.

Suzanne Kimono

Senior Software Engineer at Deloitte

For example, it can implement some cost optimization where the license can be expensive, and compared to open-source Cassandra, cost is a concern.

Shubham-Kumar

Senior Engineer at a financial services firm with 10,001+ employees

For more quotes and insights, download the DataStax Enterprise report

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

Setup Cost

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

For smaller organizations working under a tight budget, it might not be very affordable compared to other alternatives.

Suzanne Kimono

Senior Software Engineer at Deloitte

I was not involved in the licensing for DataStax Enterprise, which is managed by a different team, but I understand it operates on a core-based licensing model, which is standard.

Pdixit Dixit

Solution Architect at a consultancy with 51-200 employees

For more quotes and insights, download the DataStax Enterprise report

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

Valuable Features

DataStax Enterprise ensures high availability, scalability, and security with real-time replication, fault tolerance, and easy management for businesses.

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

The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers.

Suzanne Kimono

Senior Software Engineer at Deloitte

I can confirm that the outcomes of using DataStax Enterprise show that our database uptime has increased drastically to around 99.9%.

AshishSingh3

Senior database engineer at ToTheNew

DataStax Enterprise has positively impacted my organization because during research for a NoSQL database, developers are very positive about using DataStax Enterprise because of its really easy setup and the querying to the database is very efficient.

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

For more quotes and insights, download the DataStax Enterprise report

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

Categories and Ranking

DataStax Enterprise

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

NoSQL Databases (12th), Vector Databases (13th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (6th), Cloud Data Warehouse (11th)

Featured Reviews

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Reliable backup and recovery has protected critical telecom customer data in daily operations

When I was taking the backup with a data volume of 15 to 20 GB, the full backup running for the first time did not provide metrics to understand what percent of progress had been made. We had to read the logs, but we did not see any percentage in those logs. This is an improvement item for DataStax Enterprise to provide metrics, a bar, or a percentage so we can grasp how much data has been backed up or restored. There are no graphs available to make us aware of how long the process will take to complete, which is a drawback I noticed during backup and restore. In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one. The entire time the production is down presents a concerning situation. There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.

Read full review

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

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

12%

Manufacturing Company

10%

Construction Company

Financial Services Firm

14%

Outsourcing Company

14%

Manufacturing Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

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

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing is pretty good. I do not find any difficulty in it.

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What needs improvement with DataStax Enterprise?

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What is your primary use case for DataStax Enterprise?

DataStax Enterprise is currently deployed in production at Amdocs where we provide service to the AT&T account. To store customer data, we manage all customer usage information. Our company is ...

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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.

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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...

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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...

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Snowflake 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

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Compared 4% of the time

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Product Reports

Buyer's Guide

DataStax Enterprise

October 2026

Download DataStax Enterprise product report

Buyer's Guide

OpenText Analytics Database (Vertica)

September 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

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

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

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

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