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MongoDB Enterprise Advanced vs Vespa comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

MongoDB Enterprise Advanced
Ranking in Open Source Databases
8th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
NoSQL Databases (2nd), Managed NoSQL Databases (4th)
Vespa
Ranking in Open Source Databases
18th
Average Rating
7.6
Reviews Sentiment
5.3
Number of Reviews
3
Ranking in other categories
Vector Databases (18th)
 

Mindshare comparison

As of October 2026, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 6.0%, up from 4.8% compared to the previous year. The mindshare of Vespa is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced6.0%
Vespa1.7%
Other92.3%
Open Source Databases
 

Featured Reviews

AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
Ganaraj Amakrishna - PeerSpot reviewer
Lead Technical Architect at Zoro UK
Vector search has improved e‑commerce relevance but setup and learning curve still need work
Vespa definitely had its own set of challenges. It was really hard to get into initially, especially when I started implementing it in 2024 along with one junior employee, and the lack of documentation made it difficult. I aimed for an implementation with ColBERT, a sparse embedding mechanism, which I believed would fit well for e-commerce. We went through iterations during A/B testing because the initial set did not work as expected, which extended the process to about one and a half years. Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it. Community support was decent, and we turned to it for clarifications. However, substantial improvements in documentation are necessary, especially more examples for handling DSL effectively. Having a runtime testing feature would greatly facilitate quick iterations.

Quotes from Members

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

Pros

"MongoDB is relatively fast compared to relational databases."
"We use MongoDB for big data analysis, and we are also developing monitoring tools, planning to use MongoDB to silo out the data structure as our data grows."
"The solution is a very dynamic product, it becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment."
"MongoDB's best features are scalability, document management, and data security."
"The integration capabilities of MongoDB are fine for the solutions that we use in our company."
"It is easy to use."
"The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."
"MongoDB is cool; there is a difference between relational databases and newer databases like MongoDB, and MongoDB is scalable and fast."
"While conducting A/B testing, Vespa seemed to be performing slightly better than Elasticsearch, especially in search relevancy within live production systems, and its performance was decent."
"Vespa is very good and it improves our product, and we got more clients."
"The best feature to me is the LTR feature, the ranking feature to be specific."
 

Cons

"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."
"It would help if MongoDB offered a light solution for small projects."
"There is room for improvement in integrating MongoDB with agentive AI solutions."
"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."
"There should be better integration with other databases."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."
"There are some problems with bugs appearing in sharding when the data is too high."
"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."
"We want Vespa to implement some UI features so that we can visualize how our data goes and what embeddings it stores."
"Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it."
"The integration is actually a pain."
 

Pricing and Cost Advice

"At the moment, all customers are using the community version."
"We use the open-source version, which is available to use free of charge."
"MongoDB is an open-source solution."
"I only used the open-source version."
"I currently use the solution's community edition which is free."
"MongoDB is a bit expensive compared to its competitors."
"The product is affordable."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Comms Service Provider
8%
Outsourcing Company
8%
Comms Service Provider
13%
Computer Software Company
11%
Energy/Utilities Company
8%
Wholesaler/Distributor
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise39
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for MongoDB?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...
What needs improvement with MongoDB?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...
What is your primary use case for MongoDB?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
What is your experience regarding pricing and costs for Vespa?
The setup cost is definitely huge, and pricing is also steep. In terms of licensing, it seems generous for those who do not want to engage with Vespa's hosted services.
What needs improvement with Vespa?
Vespa definitely had its own set of challenges. It was really hard to get into initially, especially when I started implementing it in 2024 along with one junior employee, and the lack of documenta...
What is your primary use case for Vespa?
My main use case for Vespa is implementing it as the back-end search engine for an e-commerce site, where we have about six million products, or six million SKUs, that we are selling. I implemented...
 

Comparisons

 

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Find out what your peers are saying about MongoDB Enterprise Advanced vs. Vespa and other solutions. Updated: September 2026.
919,894 professionals have used our research since 2012.