Cassandra vs Weaviate Enterprise Cloud comparison

Apache and Weaviate are both solutions in the Vector Databases category. Apache is ranked #14 with an average rating of 8.1, while Weaviate is ranked #18. Apache holds a 2.6% mindshare in VD, compared to Weaviate’s 2.7% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Weaviate users who would recommend it.

Cassandra

Read 25 Cassandra reviews

2,478 Views
942 Comparison Views

92% willing to recommend

Weaviate Enterprise Cloud

Read 1 Weaviate Enterprise Cloud review

899 Views
899 Comparison Views

100% willing to recommend

Cassandra

Weaviate Enterprise Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Cassandra and Weaviate Enterprise Cloud are competing products in the data management category. Weaviate Enterprise Cloud seems to have the upper hand due to its more advanced capabilities.

Features: Cassandra offers scalability, high availability, and a distributed architecture suited for handling large-scale data. Weaviate Enterprise Cloud provides AI-driven semantic search capabilities, vector-based search, and superior data retrieval options focused on AI integration.

Ease of Deployment and Customer Service: Cassandra's deployment requires significant expertise, posing challenges for some tech teams. Weaviate Enterprise Cloud offers straightforward deployment with strong customer support, reducing operational complexity and facilitating easier implementation and maintenance for organizations.

Pricing and ROI: Cassandra involves substantial setup costs with potential long-term ROI due to scalability and stability. Weaviate Enterprise Cloud may have a higher initial cost, but it offers strong ROI through advanced features that enhance data insights and enable quicker value generation.

To learn more, read our detailed Vector Databases Report (Updated: March 2026).

Buyer's Guide

Vector Databases

March 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:

Categories and Ranking

Cassandra

Ranking in Vector Databases

14th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (7th)

Weaviate Enterprise Cloud

Ranking in Vector Databases

18th

Average Rating

8.0

Reviews Sentiment

3.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Vector Databases category, the mindshare of Cassandra is 2.6%, up from 1.7% compared to the previous year. The mindshare of Weaviate Enterprise Cloud is 2.7%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	2.6%
Weaviate Enterprise Cloud	2.7%
Other	94.7%

Vector Databases

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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reviewer2811174

AI Developer at a tech services company with 11-50 employees

Hybrid search has transformed search relevance and has enabled faster delivery of AI features

I am a strong advocate for Weaviate Enterprise Cloud, but there are areas where improvement would make a real difference. Monitoring and observability could be more robust out-of-the-box. Currently, I rely on external tools such as Grafana to track my cluster performance, and having a native dashboard with deeper query-level insights would be beneficial. I would appreciate SDK parity across languages. Some newer features are available on the Python SDK before they reach Go and TypeScript, which slows down teams working on other languages. The learning curve for advanced configuration, sharding strategies, replication, and tuning schema design can be steep for newer team members, so better-guided workflows or templates would help. Multi-region support is also a pending request for Weaviate to seamlessly join cross-region platforms. Auto-scaling granularity could be smarter. The current scaling responds to overall resource usage, but it would be better if it could scale independently based on query load versus ingestion load, as these spike at different times for me. Backup and disaster recovery flows need to be more flexible. While backups exist, setting up a cross-cloud failover or point-in-time recovery to a specific transaction can still be manual. Native re-ranking integration has been improved, and these are areas where Weaviate needs continued improvement.

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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

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"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."

"I'd rate the solution ten out of ten."

"A consistent solution."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

"Some of the valued features of this solution are it has good performance and failover."

"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."

More Cassandra pros

"Overall, Weaviate Enterprise Cloud shifted my engineering focus from managing infrastructure to building AI-first features that drive business value, which has been a crucial win for my entire organization and the time that every employee is spending per quarter."

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 solution doesn't have joins between tables so you need other tools for that."

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

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

"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."

"Cassandra could be more user-friendly like MongoDB."

"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 enhanced."

"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

"The experience with pricing for Weaviate Enterprise Cloud was mixed."

Pricing and Cost Advice

"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."

"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."

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

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Retailer

Comms Service Provider

13%

Computer Software Company

11%

Media Company

10%

Educational Organization

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

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 operates 24/7, providing services to sellers and customers alike, the need for real-ti...

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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 community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

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Comparisons

ClickHouse vs Cassandra

Compared 10% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 10% of the time

Couchbase Enterprise vs Cassandra

Compared 7% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Oracle NoSQL vs Cassandra

Compared 4% of the time

More Cassandra Competitors

Supabase Vector vs Weaviate Enterprise Cloud

Compared 16% of the time

PostgreSQL vs Weaviate Enterprise Cloud

Compared 10% of the time

Qdrant vs Weaviate Enterprise Cloud

Compared 10% of the time

Pinecone vs Weaviate Enterprise Cloud

Compared 9% of the time

More Weaviate Enterprise Cloud Competitors

Product Reports

Buyer's Guide

Cassandra

March 2026

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Buyer's Guide

Vector Databases

March 2026

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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

Weaviate Enterprise Cloud is designed to handle sophisticated data analysis and retrieval, offering users efficient indexing and search capabilities tailored to industry requirements.

Weaviate Enterprise Cloud provides a robust infrastructure for managing complex data environments, making it an ideal choice for organizations requiring advanced data handling and retrieval solutions. It integrates seamlessly, offering users scalability, reliability, and performance benefits essential for data-driven decisions.

What are the key features?

Scalability: Easily scale resources to address growing data demands without compromising performance.
Real-time Search: Offers high-speed search capabilities, ensuring users access information swiftly as it is ingested.
Vectorization: Converts data into vectors for enhanced search and analysis, leveraging machine learning.
Data Security: Implements advanced security measures to protect sensitive data.

What benefits and ROI should you look for?

Improved Efficiency: Streamlines data processes, reducing time spent on manual data handling.
Cost Effective Scalability: Provides flexibility in resource allocation, optimizing operational costs.
Enhanced Decision Making: Delivers real-time insights, facilitating informed business strategies.

Weaviate Enterprise Cloud finds practical application across industries such as finance, healthcare, and e-commerce. In finance, it manages financial data with precision, supporting compliance and risk analysis. Healthcare systems use it for patient data management, enhancing treatment insights. E-commerce platforms leverage it for customer behavior analysis, optimizing product recommendations and improving user experience.

Weaviate

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

1. KLM Royal Dutch Airlines 2. Rabobank 3. Philips 4. ING Bank 5. ABN AMRO Bank 6. Booking.com 7. TomTom 8. Randstad 9. Heineken 10. Shell 11. Unilever 12. ASML 13. Ahold Delhaize 14. DSM 15. AkzoNobel 16. VodafoneZiggo 17. NXP Semiconductors 18. Signify 19. Wolters Kluwer 20. Adyen 21. Aegon 22. Arcadis 23. ASR Nederland 24. BAM Group 25. Boskalis 26. Corbion 27. Fugro 28. Galapagos 29. GrandVision 30. IMCD Group 31. Kendrion 32. OCI

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