Cassandra vs Pinecone comparison

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Apache Logo
371 views|287 comparisons
89% willing to recommend
Pinecone Logo
1,025 views|982 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cassandra and Pinecone based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Cassandra vs. Pinecone Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
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.""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.""The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use.""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.""Our primary use case for the solution is testing.""Can achieve continuous data without a single downtime because of node to node ring architecture.""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 time series data was one of the best features along with auto publishing."

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"We chose Pinecone because it covers most of the use cases.""The product's setup phase was easy.""The semantic search capability is very good.""The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."

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Cons
"Doesn't support a solution that can give aggregation.""There could be more integration, and it could be more user-friendly.""The solution doesn't have joins between tables so you need other tools for that.""The secondary index in Cassandra was a bit problematic and could be improved.""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.""Fine-tuning was a bit of a challenge.""Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product.""The solution is limited to a linear performance."

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"The tool does not confirm whether a file is deleted or not.""For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings.""Onboarding could be better and smoother.""The product fails to offer a serverless type of storage capacity."

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Pricing and Cost Advice
  • "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."
  • "We are using the open-source version of Cassandra, the solution is free."
  • "We pay for a license."
  • "I don't have the specific numbers on pricing, but it was fairly priced."
  • More Cassandra Pricing and Cost Advice →

  • "I have experience with the tool's free version."
  • "The solution is relatively cheaper than other vector DBs in the market."
  • More Pinecone Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:We chose Pinecone because it covers most of the use cases.
    Top Answer:Onboarding could be better and smoother. Navigation is difficult because most of us rely on watching tutorials on YouTube to understand how to use this software. The onboarding journey should explain… more »
    Top Answer:We've been building an ERP dashboard using generative UI. We needed a vector database to retrieve and implement augmentation, so we opted to use Pinecone. We chose Pinecone because it covers most of… more »
    Ranking
    12th
    out of 21 in Vector Databases
    Views
    371
    Comparisons
    287
    Reviews
    6
    Average Words per Review
    353
    Rating
    7.2
    6th
    out of 21 in Vector Databases
    Views
    1,025
    Comparisons
    982
    Reviews
    4
    Average Words per Review
    545
    Rating
    8.0
    Comparisons
    Couchbase logo
    Compared 22% of the time.
    MongoDB logo
    Compared 13% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    InfluxDB logo
    Compared 10% of the time.
    Oracle NoSQL logo
    Compared 6% of the time.
    OpenSearch logo
    Compared 37% of the time.
    Faiss logo
    Compared 21% of the time.
    Elastic Search logo
    Compared 14% of the time.
    Qdrant logo
    Compared 10% of the time.
    SingleStore logo
    Compared 2% of the time.
    Learn More
    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.

    Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows. 

    Users find it particularly useful for similarity search, recommendation systems, and natural language processing. 

    Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.

    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. Airbnb 2. DoorDash 3. Instacart 4. Lyft 5. Pinterest 6. Reddit 7. Slack 8. Snapchat 9. Spotify 10. TikTok 11. Twitter 12. Uber 13. Zoom 14. Adobe 15. Amazon 16. Apple 17. Facebook 18. Google 19. IBM 20. Microsoft 21. Netflix 22. Salesforce 23. Shopify 24. Square 25. Tesla 26. TikTok 27. Twitch 28. Uber Eats 29. WhatsApp 30. Yelp 31. Zillow 32. Zynga
    Top Industries
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company13%
    University13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company16%
    Comms Service Provider6%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Comms Service Provider9%
    Educational Organization9%
    Financial Services Firm9%
    Company Size
    REVIEWERS
    Small Business39%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise19%
    Large Enterprise54%
    Buyer's Guide
    Cassandra vs. Pinecone
    May 2024
    Find out what your peers are saying about Cassandra vs. Pinecone and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Cassandra is ranked 12th in Vector Databases with 19 reviews while Pinecone is ranked 6th in Vector Databases with 4 reviews. Cassandra is rated 8.0, while Pinecone is rated 8.0. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of Pinecone writes "Helps retrieve data, relatively cheaper, and provides useful documentation". Cassandra is most compared with Couchbase, MongoDB, ScyllaDB, InfluxDB and Oracle NoSQL, whereas Pinecone is most compared with OpenSearch, Faiss, Elastic Search, Qdrant and SingleStore. See our Cassandra vs. Pinecone report.

    See our list of best Vector Databases vendors.

    We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.