Cassandra vs OpenText Analytics Database (Vertica) comparison

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

Cassandra

Read 24 Cassandra reviews

2,172 Views
1,651 Comparison Views

91% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

4,560 Views
1,915 Comparison Views

91% willing to recommend

Cassandra

OpenText Analytics Database...

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Executive Summary

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

Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cassandra vs. OpenText Analytics Database (Vertica) Report (Updated: July 2025).

Buyer's Guide

Cassandra vs. OpenText Analytics Database (Vertica)

July 2025

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Helped 861,524 peers since 2012

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

Cassandra

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

NoSQL Databases (6th), Vector Databases (14th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

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

Q&A Highlights

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

See all answers

Featured Reviews

Himanshu Amodwala

Senior cloud solution architect at Microsoft

Well-equipped to handle a massive influx of data and billions of requests

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.

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T Venkatesh

Deputy Manager at ICICIBANK Ltd

Processes query faster through multiple systems simultaneously, but it could support different data types

We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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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

"I am getting much better performance than relational databases."

"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."

"A consistent solution."

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

"I am satisfied with the performance."

"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."

"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."

"We can add almost one million columns to the solution."

More Cassandra pros

"I enjoy the cybersecurity and backup features."

"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."

"DBAs don’t need to add a partition every month/quarter like with other DBs."

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

"The most valuable feature is Vertica's performance and the ease of using the database."

"Vertica uses advanced Azure technologies to compress raw data using indexing, allowing a large amount of data to be stored with minimal physical space. Advanced algorithms are employed in data compression."

"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."

"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "

More OpenText Analytics Database (Vertica) pros

Cons

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"Fine-tuning was a bit of a challenge."

"There could be more integration, and it could be more user-friendly."

"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."

"The secondary index in Cassandra was a bit problematic and could be improved."

"Doesn't support a solution that can give aggregation."

"I want Cassandra to update its open-source version more quickly. It's already feature-rich, but I'd appreciate better integration with other NoSQL databases like MariaDB or MongoDB. If I ever need to work with customers or vendors using different NoSQL databases, having native integration in Cassandra would make managing and interacting with their databases much easier."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

More Cassandra cons

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

"When it is about to reach the maximum storage capacity, it becomes slow."

"I believe the installation process could be streamlined."

"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."

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

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

"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."

"We faced some challenges when trying to use the temporary tables feature."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"I don't have the specific numbers on pricing, but it was fairly priced."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"We are using the open-source version of Cassandra, the solution is free."

"I use the tool's open-source version."

"We pay for a license."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

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

"The pricing for this solution is very reasonable compared to other vendors."

"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."

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

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

"The pricing and licensing depend on the size of your environment and the zone where you want to implement."

"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."

More OpenText Analytics Database (Vertica) pricing and cost advice

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Answers from the Community

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

2 out of 4 answers

Russell Rothstein

CEO at a tech company with 51-200 employees

Jan 27, 2020

Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors The top ones include Cassandra, MemSQL, MongoDB, and Vertica.

Read full answer

reviewer1219965

Data Architect at a tech services company with 201-500 employees

Jan 27, 2020

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

Read full answer

See all 4 answers

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Comms Service Provider

Retailer

Financial Services Firm

19%

Computer Software Company

17%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Cassandra?

See all answers

What is your experience regarding pricing and costs for Cassandra?

We are using Cassandra locally and as open-source.

See all answers

What needs improvement with Cassandra?

While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be e...

See all answers

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

Comparisons

MongoDB vs Cassandra

Compared 14% of the time

Couchbase vs Cassandra

Compared 13% of the time

ClickHouse vs Cassandra

Compared 12% of the time

ScyllaDB vs Cassandra

Compared 8% of the time

Chroma vs Cassandra

Compared 7% of the time

More Cassandra Competitors

SQL Server vs OpenText Analytics Database (Vertica)

Compared 15% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 11% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 8% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Cassandra

July 2025

Download Cassandra product report

Buyer's Guide

OpenText Analytics Database (Vertica)

June 2025

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

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Buyer's Guide

Cassandra vs. OpenText Analytics Database (Vertica)

July 2025

Free Report: Cassandra vs. OpenText Analytics Database (Vertica)

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