Rockset vs SingleStore comparison

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Rockset

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Executive SummaryUpdated on Mar 5, 2025

SingleStore and Rockset offer real-time analytics capabilities. SingleStore may have the upper hand due to its robust performance and scalability, appealing to those requiring fast query speeds, whereas Rockset is easier to use for processing semi-structured data.

Features: SingleStore provides high performance, advanced analytics, and seamless scalability for large-scale data workloads. Rockset focuses on simplicity, handling complex queries on streaming data with efficiency and intuitive data ingest.

Ease of Deployment and Customer Service: SingleStore offers flexible on-premise and cloud deployment options, catering to diverse IT environments. Rockset prioritizes cloud-native operations, delivering swift serverless deployment for reduced management overheads.

Pricing and ROI: SingleStore offers various pricing tiers, providing strong ROI for high-volume environments with its optimized cost-performance ratio. Rockset's higher initial cost can yield rapid benefits in real-time processing, suitable for workloads requiring quick data insights.

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

Rockset vs. SingleStore

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Helped 850,028 peers since 2012

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

Rockset

Ranking in Vector Databases

17th

Average Rating

8.0

Reviews Sentiment

8.2

Number of Reviews

Ranking in other categories

AWS Marketplace (41st)

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 May 2025, in the Vector Databases category, the mindshare of Rockset is 0.2%, up from 0.2% compared to the previous year. The mindshare of SingleStore is 1.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

Raghavendra Sao

Senior Software Engineer at a wellness & fitness company with 201-500 employees

Used to get data from the database faster

Rockset is an easy tool, and anyone can use it. The solution provides some type of data grouping. This grouping of data based on some parameters is not simple, but it is very useful. I would recommend the solution to other users. Overall, I rate the solution an eight out of ten.

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Yasin Sarı

Senior Data Analyst at a comms service provider with 1,001-5,000 employees

High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution

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 tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.

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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

"Rockset is very fast, and you can query just like in MySQL."

"The initial setup was very simple."

"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."

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

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

"The paramount advantage is the exceptional speed."

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

Cons

"Filtering the database based on indexes is difficult in Rockset and should be simplified."

"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."

"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."

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

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

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

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

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

Pricing and Cost Advice

Information not available

"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."

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

"SingleStore is a bit expensive."

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

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850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

32%

Computer Software Company

12%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Rockset?

For our use, there is no room for improvement. It depends on how you use it, however, from our perspective, it has met our needs.

What is your primary use case for Rockset?

We used Rockset as an SQL interface on some of DynamoDB. Our use case is primarily for customer-facing data reporting.

What advice do you have for others considering Rockset?

Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is. OpenAI may have its own agenda for it. They have started canceling some contracts with customers, so this...

What do you like most about SingleStore DB?

The paramount advantage is the exceptional speed.

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...

What needs improvement with SingleStore DB?

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Product Reports

AWS Marketplace

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Overview

Rockset is a powerful data processing and analysis platform that excels in efficiently handling large volumes of data in real-time.

It is particularly useful for building real-time applications, creating interactive dashboards, and performing complex queries on structured and semi-structured data.

With its high concurrency capabilities and fast query performance, Rockset makes it easy for users to process and analyze data.

Its seamless integration with various data sources and ability to handle large volumes of data efficiently make it a valuable tool. Connecting and analyzing data from different sources is made easy without complex setup or maintenance.

Rockset

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. Adobe 2. Cisco 3. Comcast 4. DoorDash 5. Expedia 6. Facebook 7. GitHub 8. IBM 9. Lyft 10. Microsoft 11. Netflix 12. Oracle 13. Pinterest 14. Reddit 15. Salesforce 16. Slack 17. Spotify 18. Square 19. Target 20. Twitter 21. Uber 22. Verizon 23. Visa 24. Walmart 25. Yelp 26. Zoom 27. Airbnb 28. Dropbox 29. eBay 30. Google 31. LinkedIn 32. Amazon

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.

Rockset vs. SingleStore