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Cassandra vs MongoDB vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Mindshare comparison

NoSQL Databases
NoSQL Databases
Data Warehouse
 

Q&A Highlights

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
 

Featured Reviews

Himanshu Amodwala - PeerSpot reviewer
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.
Uzair Faruqi - PeerSpot reviewer
Transforms data flow with adaptable schema and smooth public cloud deployment
One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…
T Venkatesh - PeerSpot reviewer
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…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"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."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."
"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"MongoDB has a simple data-loading interface."
"The geospatial index feature is useful for dealing with latitude and longitude data."
"The solution has good flexibility and very fast performance for searching data."
"like its performance and the stability. It's very stable and, performance-wise, it's really great."
"The clustering is very good. It allows us to have high availability."
"MongoDB is flexible and it allows other applications to be added."
"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."
"My impression is that the initial setup is straightforward."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"Speed and resiliency are probably the best parts of this product."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"Its projections and encoding are excellent tools for tuning large volumes."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
 

Cons

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."
"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."
"Doesn't support a solution that can give aggregation."
"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."
"The disc space is lacking. You need to free it up as you are working."
"Cassandra could be more user-friendly like MongoDB."
"There could be more integration, and it could be more user-friendly."
"We found some issues with the batch inserts when the data volume is large."
"The performance can be improved."
"I have found the solution difficult to operate as an administrator."
"They could improve the UI and the analytics part."
"Our program developer finds it to be a little unstable, development-wise."
"It isn't easy to recognize entities with MongoDB."
"I don't see a lot of areas that need improvement."
"There should be better integration with other databases."
"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"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 of this solution with ODI could be improved."
"They could improve on customer service."
"It should provide a GUI interface for data management and tuning."
"I have found that coding support could be simplified."
 

Pricing and Cost Advice

"We pay for a license."
"I use the tool's open-source version."
"We are using the open-source version of Cassandra, the solution is free."
"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."
"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"MongoDB is an open-source solution."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"MongoDB's pricing is not reasonable, but it is not as expensive as the others."
"The solution is open source so is free."
"The product is affordable."
"We use the open-source version, which is available to use free of charge."
"It's open-source."
"We are using the Community Edition of MongoDB."
"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."
"From a cost perspective, the software is less than most of its competitors."
"The price could be cheaper and it is best to negotiate the price."
"Vertica is an expensive tool."
"The pricing for this solution is very reasonable compared to other vendors."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"It's an expensive product"
"It is fast to purchase through the AWS Marketplace."
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Answers from the Community

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
Apr 19, 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
2 out of 4 answers
Russell Rothstein - PeerSpot reviewer
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.
reviewer1219965 - PeerSpot reviewer
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
 

Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
15%
University
5%
Retailer
5%
Financial Services Firm
19%
Computer Software Company
15%
University
7%
Manufacturing Company
6%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 needs improvement with Cassandra?
While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is store...
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
We use the free version of MongoDB, so there are no licensing costs.
What needs improvement with MongoDB?
There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases ...
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...
 

Comparisons

 

Also Known As

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Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

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
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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