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Cassandra vs Neo4j Graph Database 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
 

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.
RT
Delivers superior search and data aggregation capabilities
Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB. Aggregating with MongoDB can be difficult; however, with Neo4j, it's easier. Aggregating data, backing up, and creating new clusters are user-friendly from the back end. In DevOps web deployment, we noticed no database issues. We created Docker instances and set them up efficiently, managing databases up to 50 gigabytes.
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

"The technical evaluation is very good."
"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."
"Some of the valued features of this solution are it has good performance and failover."
"I'd rate the solution ten out of ten."
"A consistent solution."
"We can add almost one million columns to the solution."
"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."
"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."
"For now, the tool doesn't break down or stop, so it is quite stable."
"As a graph database, I am surprised at their performance and response time."
"The solution's best feature is how it differs from traditional SQL databases. It's hard to map people and find those near me in SQL, which requires long, complex queries. Neo4j Graph Database makes this easier with simpler queries. It also supports more data types, like JSON, which SQL doesn't."
"It is good for search-based tasks, providing solid search results and aggregate results."
"Enables people to understand what the business problem is and how the technology helps."
"Creates the ability to visualize outputs."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"Its projections and encoding are excellent tools for tuning large volumes."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"The product's initial setup phase is extremely simple."
"The performance is very good and the aggregate records are fast."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"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."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
 

Cons

"Interface is not user friendly."
"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"Doesn't support a solution that can give aggregation."
"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."
"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."
"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 disc space is lacking. You need to free it up as you are working."
"The only problem is that the community is quite small."
"So far, we have not had any issues and are happy with the product in general."
"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."
"There are concerns about performance and whether the tool can necessarily scale to provide the solution."
"The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databases have. We thought about building an ORM for the Neo4j Graph Database but are too busy."
"I have found that coding support could be simplified."
"When it is about to reach the maximum storage capacity, it becomes slow."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"I believe the installation process could be streamlined."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"The geospatial functionality could be designed better."
 

Pricing and Cost Advice

"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."
"I don't have the specific numbers on pricing, but it was fairly priced."
"The tool is not expensive."
"The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwise, you can deploy it on your own cloud and pay based on usage."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"It's an expensive product"
"It is fast to purchase through the AWS Marketplace."
"Vertica is an expensive tool."
"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."
"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."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"The solution is relatively cost-effective."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
15%
Retailer
6%
Comms Service Provider
6%
Computer Software Company
14%
Financial Services Firm
12%
Manufacturing Company
11%
Energy/Utilities Company
11%
Financial Services Firm
19%
Computer Software Company
17%
Manufacturing Company
7%
Real Estate/Law Firm
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 is your experience regarding pricing and costs for Neo4j?
The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. ...
What needs improvement with Neo4j Graph Database?
The only problem is that the community is quite small.
What is your primary use case for Neo4j Graph Database?
We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements simil...
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

No data available
No data available
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
Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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