Pinecone vs SingleStore comparison

Pinecone and SingleStore are both solutions in the Vector Databases category. Pinecone is ranked #6 with an average rating of 8.0, while SingleStore is ranked #12 with an average rating of 8.7. 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

1,553 Views
1,431 Comparison Views

100% willing to recommend

SingleStore

Read 7 SingleStore reviews

284 Views
232 Comparison Views

100% willing to recommend

Pinecone

SingleStore

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Pinecone and SingleStore 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 Pinecone vs. SingleStore Report (Updated: October 2024).

Buyer's Guide

Pinecone vs. SingleStore

October 2024

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Categories and Ranking

Pinecone

Ranking in Vector Databases

6th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

SingleStore

Ranking in Vector Databases

12th

Average Rating

8.8

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (7th)

Featured Reviews

Aakash Kushwaha

SDE at Alphablocks

May 20, 2024

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

Dec 18, 2023

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."

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

"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."

"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."

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

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

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

"The paramount advantage is the exceptional speed."

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

"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."

Cons

"Pinecone can be made more budget-friendly."

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

"Onboarding could be better and smoother."

"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."

"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."

"The tool does not confirm whether a file is deleted or not."

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

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

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

"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."

"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."

Pricing and Cost Advice

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

"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."

"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."

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

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

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

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

"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."

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Educational Organization

Financial Services Firm

Comms Service Provider

Financial Services Firm

30%

Computer Software Company

14%

Manufacturing Company

Retailer

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

Comparisons

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Faiss vs Pinecone

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Elastic Search vs Pinecone

Compared 13% of the time

LanceDB vs Pinecone

Compared 9% of the time

Marqo vs Pinecone

Compared 2% of the time

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ClickHouse vs SingleStore

Compared 9% of the time

SQL Server vs SingleStore

Compared 8% of the time

Teradata vs SingleStore

Compared 8% of the time

CockroachDB vs SingleStore

Compared 8% of the time

Vertica vs SingleStore

Compared 4% of the time

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Product Reports

Buyer's Guide

Pinecone

November 2024

Download Pinecone product report

Buyer's Guide

SingleStore

October 2024

Download SingleStore product report

Learn More

Pinecone

Video not available

SingleStore

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.

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

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

October 2024

Free Report: Pinecone vs. SingleStore

Find out what your peers are saying about Pinecone vs. SingleStore and other solutions. Updated: October 2024.

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