Pinecone vs SingleStore comparison

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Pinecone Logo
915 views|882 comparisons
100% willing to recommend
SingleStore Logo
166 views|131 comparisons
100% willing to recommend
Comparison Buyer's Guide
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: May 2024).
772,567 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
"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.""We chose Pinecone because it covers most of the use cases."

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"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.""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 ability to store data in memory is a standout feature, enhanced by robust failover mechanisms.""The product's initial setup phase was pretty straightforward, with no complex processes.""The product can automatically reinstall and reconfigure in case of a shutdown."

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

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"Having the ability to migrate servers using a single command would be extremely beneficial.""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.""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.""Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally.""We don't get good discounts in Pakistan.""The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."

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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 →

  • "I would advise users to try the free 128GB version."
  • "SingleStore is a bit expensive."
  • "The product's licensing is not expensive. It is comparable."
  • "Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
  • "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."
  • "They have two main options: cloud installation and bare-metal installation, each with different pricing models."
  • More SingleStore Pricing and Cost Advice →

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    Questions from the Community
    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 »
    Top Answer:The paramount advantage is the exceptional speed.
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    5th
    out of 21 in Vector Databases
    Views
    915
    Comparisons
    882
    Reviews
    2
    Average Words per Review
    496
    Rating
    8.0
    10th
    out of 21 in Vector Databases
    Views
    166
    Comparisons
    131
    Reviews
    6
    Average Words per Review
    607
    Rating
    8.7
    Comparisons
    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.
    SQL Server logo
    Compared 10% of the time.
    MySQL logo
    Compared 9% of the time.
    Teradata logo
    Compared 8% of the time.
    CockroachDB logo
    Compared 8% of the time.
    Oracle Database logo
    Compared 7% of the time.
    Learn More
    SingleStore
    Video Not Available
    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.

    The SingleStore platform combines transactional, analytical, and vector data workloads in a real-time, unified, distributed SQL database that is MySQL and MongoDB wire protocol-compatible. SingleStore also combines the capabilities of traditional databases with the scalability of the cloud, making it suitable for a range of data-driven applications.

    SingleStore provides a unified platform that supports both transactional and analytical workloads, enabling real-time data processing and analysis. It is optimized for speed, offering low-latency data access and high throughput. The platform's distributed architecture allows it to scale horizontally, handling large volumes of data across multiple nodes. Additionally, it supports SQL, making it accessible for users familiar with standard query languages.

    Key features of SingleStore include real-time data ingestion, which allows for the immediate processing of incoming data, and a fully distributed SQL execution engine that enhances performance. The platform also offers in-memory rowstore and disk-based columnstore, providing flexibility in data storage and retrieval methods. Furthermore, SingleStore ensures high availability and disaster recovery with its multi-cloud, multi-region deployment options.

    When evaluating SingleStore, you should consider its ability to reduce query response times significantly, improve operational efficiencies with real-time analytics, and lower infrastructure costs through efficient resource utilization. Additionally, the platform's support for mixed workloads enables businesses to streamline their data operations, reducing the need for multiple specialized databases.

    SingleStore is implemented across various industries, including finance, healthcare, and retail. In finance, it helps with real-time risk analysis and fraud detection. In healthcare, it supports advanced analytics for patient data management. Retailers use SingleStore to optimize supply chain operations and personalize customer experiences through real-time data insights.

    Pricing for SingleStore is based on a subscription model, with costs determined by the resources allocated and the level of support required. It offers flexible licensing options to accommodate different business needs. SingleStore's customer support is known for its responsiveness and expertise, providing users with the necessary assistance to maximize the platform's potential.

    In summary, SingleStore offers a versatile and efficient cloud database solution suitable for handling diverse data workloads with high performance and scalability.

    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, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LiveRamp, Lumana, NBC, Outreach, Palo Alto Networks, Siemens, SiriusXM, SK Telecom, SKAI, Sony, STC, TATA, and ZoomInfo.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Comms Service Provider9%
    Financial Services Firm9%
    Educational Organization8%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company14%
    Manufacturing Company6%
    Comms Service Provider6%
    Company Size
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise19%
    Large Enterprise53%
    REVIEWERS
    Small Business57%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise64%
    Buyer's Guide
    Pinecone vs. SingleStore
    May 2024
    Find out what your peers are saying about Pinecone vs. SingleStore and other solutions. Updated: May 2024.
    772,567 professionals have used our research since 2012.

    Pinecone is ranked 5th in Vector Databases with 4 reviews while SingleStore is ranked 10th in Vector Databases with 7 reviews. Pinecone is rated 8.0, while SingleStore is rated 8.8. The top reviewer of Pinecone writes "Helps retrieve data, relatively cheaper, and provides useful documentation". On the other hand, the top reviewer of SingleStore writes "A reasonably priced product that offers good speed and seamless support". Pinecone is most compared with OpenSearch, Faiss, Elastic Search and Qdrant, whereas SingleStore is most compared with SQL Server, MySQL, Teradata, CockroachDB and Oracle Database. See our Pinecone vs. SingleStore 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.