Pinecone vs SingleStore comparison

Pinecone and SingleStore are both solutions in the Vector Databases category. Pinecone is ranked #7 with an average rating of 8.0, while SingleStore is ranked #13 with an average rating of 8.7. Pinecone holds a 7.9% mindshare in VD, compared to SingleStore’s 1.5% mindshare. Additionally, 100% of Pinecone users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

Pinecone

Read 6 Pinecone reviews

1,976 Views
1,769 Comparison Views

100% willing to recommend

SingleStore

Read 7 SingleStore reviews

416 Views
323 Comparison Views

100% willing to recommend

Pinecone

SingleStore

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 5, 2025

SingleStore and Pinecone are key players in the database management space, each offering unique benefits. SingleStore tends to lead in analytics and real-time data handling, while Pinecone stands out in vector search performance.

Features: SingleStore features a distributed SQL engine enabling high-speed transactions and complex queries. Its real-time analytics and support for high concurrency through horizontal scaling make it ideal for businesses focused on rapid data analysis. On the other side, Pinecone offers robust vector database technology, which is highly efficient for similarity search, advanced machine learning integration, and decentralizing data storage to enhance performance.

Room for Improvement: SingleStore could enhance its learning curve for non-SQL users and improve tool integration for seamless user experience. Pinecone may benefit from more competitive initial setup costs, better ease of use for non-developers, and efficiency in handling structured dataset integration.

Ease of Deployment and Customer Service: SingleStore provides versatile deployment options and comprehensive support for smoother system integrations, making it suitable for various business needs. Pinecone focuses on simplifying and speeding up deployment, which is attractive for developers working on AI-driven projects. Their customer service is designed to facilitate rapid implementation.

Pricing and ROI: SingleStore offers scalable pricing structures that aim to optimize spending, giving businesses targeting analytical workloads a significant ROI. Pinecone, while potentially costlier initially, is expected to deliver robust ROI where its superior vector search capabilities align with business needs.

To learn more, read our detailed Pinecone vs. SingleStore Report (Updated: March 2025).

Buyer's Guide

Pinecone vs. SingleStore

March 2025

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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

Pinecone

Ranking in Vector Databases

7th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

SingleStore

Ranking in Vector Databases

13th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (7th)

Mindshare comparison

As of March 2025, in the Vector Databases category, the mindshare of Pinecone is 7.9%, down from 8.3% compared to the previous year. The mindshare of SingleStore is 1.5%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

Aakash Kushwaha

SDE at Alphablocks

Helps retrieve data, relatively cheaper, and provides useful documentation

Suppose I want to delete a vector from Pinecone or a multi-vector from a single document. Pinecone does not provide feedback on whether a document is deleted or not. In SQL and NoSQL databases, if we delete something, we get a response that it is deleted. The tool does not confirm whether a file is deleted or not. I have raised the issue with support. If we have 10,000 vectors in our index and do not use a metadata tag, it will take one to three seconds to complete a search. When I try to search using a metadata tag, the speed is still the same. The search speed must be much faster because I specify which vectors I need the data from.

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Hitesh Kunchakuri

Associate Consultant at University of California at Davis

A reasonably priced product that offers good speed and seamless support

Currently, I can't think of any areas that require improvement because SingleStore was recently launched in the market. The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings. The current SingleStore model provides output based on the RANK function. If a user searches for a liquor bottle, then with all the data the product has, it will search for the liquor bottle in the data, and based on a match, the product has an algorithm to rank the product because of which the paragraph that has the best match will be ranked as a 100, the next one as 99, following which the next product will be ranked as 98 and so on. The output from the solution will fetch you all the 100 products that are available in a store, but sometimes a user might require a product with a 97 or 98 percent match from the DB, meaning the product doesn't always work to provide a 100 percent match, an area I feel that can be optimized in the product. Currently, SingleStore's features are excellent as it can read documents, images, and everything. The product works seamlessly for me.

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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

"The product's setup phase was easy."

"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."

"The semantic search capability is very good."

"The best thing about Pinecone is its private local host feature. It displays all the maintenance parameters and lets us view the data sent to the database. We can also see the status of the CD and which application it corresponds to."

"We chose Pinecone because it covers most of the use cases."

"The most valuable feature of Pinecone is its managed service aspect. There are many vector databases available, but Pinecone stands out in the market. It is very flexible, allowing us to input any kind of data dimensions into the platform. This makes it easy to use for both technical and non-technical users."

"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"The product can automatically reinstall and reconfigure in case of a shutdown."

"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."

"The paramount advantage is the exceptional speed."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The product's initial setup phase was pretty straightforward, with no complex processes."

Cons

"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."

"I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly."

"Pinecone can be made more budget-friendly."

"The product fails to offer a serverless type of storage capacity."

"Onboarding could be better and smoother."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"We don't get good discounts in Pakistan."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."

Pricing and Cost Advice

"I have experience with the tool's free version."

"Pinecone is not cheap; it's actually quite expensive. We find that using Pinecone can raise our budget significantly. On the other hand, using open-source options is more budget-friendly."

"The solution is relatively cheaper than other vector DBs in the market."

"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."

"SingleStore is a bit expensive."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

"The product's licensing is not expensive. It is comparable."

"The price of the product is okay compared to the other available solutions in the market. SingleStore is a reasonably priced product, considering the functions it offers."

"I would advise users to try the free 128GB version."

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Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

10%

University

Comms Service Provider

Financial Services Firm

33%

Computer Software Company

13%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Pinecone?

We chose Pinecone because it covers most of the use cases.

See all answers

What needs improvement with Pinecone?

I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly.

See all answers

What is your primary use case for Pinecone?

I've used Pinecone to streamline token generation for my chatbot's functionality. Specifically, I used it for the OpenNeeam Building.

See all answers

What do you like most about SingleStore DB?

The paramount advantage is the exceptional speed.

See all answers

What is your experience regarding pricing and costs for SingleStore DB?

Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...

See all answers

What needs improvement with SingleStore DB?

There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation...

See all answers

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Neo4j Graph Database vs SingleStore

Compared 3% of the time

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Product Reports

Buyer's Guide

Pinecone

March 2025

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Buyer's Guide

SingleStore

March 2025

Download SingleStore product report

Overview

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.

Pinecone

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

SingleStore

Sample Customers

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

6Sense, ADNOC, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, Dentsu, EY, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LG, LiveRamp, Lumana, NBC, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, Siemens, SiriusXM, SK Telecom, SKAI, Sony, State Street Financial, STC, SunRun, TATA, Thorn, and ZoomInfo.

Buyer's Guide

Pinecone vs. SingleStore

March 2025

Free Report: Pinecone vs. SingleStore

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