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SingleStore vs Supabase Vector comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 2025

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

SingleStore
Ranking in Vector Databases
16th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Database as a Service (DBaaS) (12th)
Supabase Vector
Ranking in Vector Databases
9th
Average Rating
8.4
Reviews Sentiment
5.3
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Vector Databases category, the mindshare of SingleStore is 3.0%, up from 2.0% compared to the previous year. The mindshare of Supabase Vector is 7.4%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase Vector7.4%
SingleStore3.0%
Other89.6%
Vector Databases
 

Featured Reviews

Kelvin  Ben - PeerSpot reviewer
Senior Software Engineer at Honeywell
Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data
The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.
AmritDash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Unified course data has streamlined our AI study assistant and still needs better large-scale search
There can be compute spikes when we scale up, which we noticed during our intake season while processing millions of records. Massive similarity searches on a lot of vectors can spike the database CPU and potentially slow down API requests, so we had to move to a higher plan in Supabase for handling this during our intake season. There is no native hybrid search yet, which can combine keyword search and vector search. Supabase supports both, but combining them requires writing a custom Postgres function, while dedicated tools on other platforms allow you to do that out of the box. On some level, we face indexing complexity with Supabase Vector because although vectors expedite searches, we need to use indexes such as HNSW or IVF Flat. Tuning these indexes in Postgres requires advanced knowledge, and we needed a dedicated Supabase expert or to hire someone capable of understanding these complex queries and set this up for us, making it not a plug-and-play solution for a massive scale project with tens of millions of vectors. Vectors are stored in Postgres, and we can perform a lot of similarity searches on millions of vectors, which can spike database CPU and potentially slow down the app, but apart from that, everything seems positive.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"SingleStore has impacted my organization positively because the output and performance of the app have been improved."
"MemSQL is a very powerful database."
"SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"The paramount advantage is the exceptional speed."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"Supabase Vector is easy to set up and cost-effective because the alternative is Firebase, which requires a credit card."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"Supabase Vector has positively impacted our organization quite a lot, as we moved away from Pinecone to a unified platform where we store relational and vectorized data together, reducing automation times and eliminating the hassle of managing and maintaining two separate databases in sync."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"Supabase Vector rapidly increases the speed and efficiency with which I search through a database, helping with my data analysis tasks."
"The platform's role-level security feature is quite effective for spatial data management."
 

Cons

"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"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."
"I notice that the schema visualizer can be improved. Additionally, the internal AI assistant powered by GPT can also be improved."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"I think the support system can be better because after Supabase Vector stopped working in India, there is no support."
"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."
"There can be compute spikes when we scale up, which we noticed during our intake season while processing millions of records. Massive similarity searches on a lot of vectors can spike the database CPU and potentially slow down API requests, so we had to move to a higher plan in Supabase for handling this during our intake season."
 

Pricing and Cost Advice

"I would advise users to try the free 128GB version."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"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."
"SingleStore is a bit expensive."
"The solution's cost is reasonable compared to other solutions."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
8%
Comms Service Provider
8%
Outsourcing Company
5%
Comms Service Provider
14%
Manufacturing Company
7%
Outsourcing Company
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise4
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for SingleStore DB?
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups, but for my organization, the cost is affordable and cost-effective.
What needs improvement with SingleStore DB?
I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good. The data which is sent to DataDog sometimes does not match with the SingleStore dash...
What is your primary use case for SingleStore DB?
My main use case for SingleStore is for our data retention and load management. We have infrastructure wherein the user's data are used for quick search, which means the searching functionality in ...
What needs improvement with Supabase Vector?
I think the support system can be better because after Supabase Vector stopped working in India, there is no support. Nobody knows how to deal with the database now. The naming structure is a littl...
What is your primary use case for Supabase Vector?
I'm using Supabase Vector for the Postgres part. I use their Postgres database as the main requirement for the product from my side. If I am building a small website or any product, I don't need to...
 

Comparisons

 

Overview

 

Sample Customers

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.
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Find out what your peers are saying about SingleStore vs. Supabase Vector and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.