Cassandra vs OpenText Analytics Database (Vertica) vs ScyllaDB comparison

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Cassandra

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Executive Summary

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

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

To learn more, read our detailed NoSQL Databases Report (Updated: February 2026).

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NoSQL Databases

February 2026

Helped 881,733 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:

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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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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Manikandan Gunasekaran

Director of Engineering at Ola

Reliable data management with great reliability and performance

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.

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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

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

"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."

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

"Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there."

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

"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

"I am satisfied with the performance."

"The time series data was one of the best features along with auto publishing."

More Cassandra pros

"I have found the solution to be scalable."

"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

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

"The extensibility and efficiency provided by their C++ SDK."

"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."

"It has improved my organization's functionality and performance."

"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."

"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."

More OpenText Analytics Database (Vertica) pros

"The database is easy to use, fast, and accessible for applications because the API is straightforward."

"ScyllaDB is fast and reliable. It has good performance."

"The documentation is good. It integrates easily with our existing data infrastructure."

"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

"ScyllaDB is very fast, and I can use it for so many things."

"It is lightweight, and it requires less infrastructure."

"ScyllaDB allows fine-tuning of the table structure. Speed is probably the most critical factor because we perform a lot of heavy data ingestion. One of its core features is its ability to handle high volumes and maintain speed when accessing data. Additionally, high availability and partitioning are built-in features of ScyllaDB."

"Firstly, if I update something, it's most likely to finish within milliseconds."

More ScyllaDB pros

Cons

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

"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."

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

"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."

"We found some issues with the batch inserts when the data volume is large."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

More Cassandra cons

"They could improve on customer service."

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

"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."

"They could improve the integration and some of the features in the cloud version."

"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."

"The integration with AI has room for improvement."

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

"I believe the installation process could be streamlined."

More OpenText Analytics Database (Vertica) cons

"The product needs to add more features and improve the response time of the support team."

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode."

"The documentation is not well established for new developers."

"The documentation of Scylla is an area with shortcomings and needs to be improved."

"ScyllaDB needs to improve its handling of transactions."

"Some of the regular commands in NoSQL do not work."

More ScyllaDB cons

Pricing and Cost Advice

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

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

"We pay for a license."

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

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

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

"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."

"The solution is relatively cost-effective."

"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."

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

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

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

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

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

More OpenText Analytics Database (Vertica) pricing and cost advice

"It is an expensive tool compared to its competitor."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It's free."

"I believe that there is a yearly licensing cost and that it's expensive."

"It's a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

Comms Service Provider

Retailer

Financial Services Firm

17%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Financial Services Firm

10%

Computer Software Company

Comms Service Provider

Hospitality Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	38

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What do you like most about Cassandra?

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operat...

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider com...

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from...

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 compet...

What is your experience regarding pricing and costs for Scylla?

The enterprise version comes with a cost of about $300,000 per year, however, we did not experience the promised comp...

What needs improvement with Scylla?

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing ...

What is your primary use case for Scylla?

We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets...

MongoDB Enterprise Advanced vs Cassandra

Comparisons

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Compared 7% of the time

Oracle NoSQL vs Cassandra

Compared 5% of the time

Neo4j Graph Database vs Cassandra

Compared 5% of the time

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Teradata vs OpenText Analytics Database (Vertica)

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 6% of the time

SQL Server vs OpenText Analytics Database (Vertica)

Compared 6% of the time

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Redis vs ScyllaDB

Compared 17% of the time

MongoDB Enterprise Advanced vs ScyllaDB

Compared 13% of the time

Apache HBase vs ScyllaDB

Compared 11% of the time

Couchbase Enterprise vs ScyllaDB

Compared 11% of the time

Neo4j Graph Database vs ScyllaDB

Compared 6% of the time

More ScyllaDB Competitors

Product Reports

Download Cassandra product report

Cassandra

February 2026

OpenText Analytics Database (Vertica)

January 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Download ScyllaDB product report

January 2026

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

No data available

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

ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential

ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.

The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.

ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.