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MongoDB
Vector Database · 5.8M monthly visits

MongoDB is a developer data platform built on a leading NoSQL document database. Its cloud offering, MongoDB Atlas, provides an integrated suite of services, including powerful Vector Search for generative AI, full-text search, and real-time analytics. It's designed for modern applications, offering flexibility, scalability, and a unified experience for developers to build faster and more efficiently across multiple clouds.

VS
SingleStore
Vector Database · 161K monthly visits

SingleStore is a high-performance, real-time data platform designed for enterprise AI and data-intensive applications. It unifies transactional (OLTP) and analytical (OLAP) workloads, including vector search, in a single, distributed SQL database, delivering millisecond latency at scale.

MongoDB vs SingleStore: pricing, features, traffic, and use cases

Compare MongoDB and SingleStore across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

MongoDB Product overview

MongoDB is a developer data platform built on a leading NoSQL document database. Its cloud offering, MongoDB Atlas, provides an integrated suite of services, including powerful Vector Search for generative AI, full-text search, and real-time analytics. It's designed for modern applications, offering flexibility, scalability, and a unified experience for developers to build faster and more efficiently across multiple clouds.

Preview

SingleStore Product overview

SingleStore is a high-performance, real-time data platform designed for enterprise AI and data-intensive applications. It unifies transactional (OLTP) and analytical (OLAP) workloads, including vector search, in a single, distributed SQL database, delivering millisecond latency at scale.

Preview

Detailed feature comparison

FeatureMongoDBSingleStore
Primary categoryVector DatabaseVector Database
Added2025-08-062025-08-15
PricingFreemiumFreemium
Official websitewww.mongodb.comwww.singlestore.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits5.8M161K
Monthly growth-6.2%31.5%
Favorites127132
DetailsView detailsView details

MongoDB vs SingleStore monthly traffic

Compare MongoDB and SingleStore by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the MongoDB vs SingleStore monthly traffic comparison, MongoDB currently shows 5.8M visits and SingleStore shows 161K; MongoDB has about 36.3 times the visible traffic of SingleStore, an absolute difference of about 5.7M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

MongoDB monthly traffic:

Latest traffic

Monthly visits
5.8M
Avg. visit duration
6:09
Pages per visit
8.88
Bounce rate
31.08%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 5.6M Monthly visits
  • 2026/1: 5.8M Monthly visits
  • 2026/2: 5.5M Monthly visits
  • 2026/3: 6.1M Monthly visits
  • 2026/4: 6.2M Monthly visits
  • 2026/5: 5.8M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇮🇳India58.41%3.4M
🇺🇸United States26.77%1.6M
🇬🇧United Kingdom5.84%341.3K
🇵🇰Pakistan4.71%275.2K
🇨🇴Colombia4.27%249.5K

Traffic sources

Source typePercentageTraffic
Direct86.31%5M
Referral10.12%591.4K
Email3.57%208.6K

Search keywords

atlasmongo dbmongodbmongodb atlasmongodb compass

SingleStore monthly traffic:

Latest traffic

Monthly visits
161K
Avg. visit duration
2:48
Pages per visit
5.62
Bounce rate
37.01%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 178.9K Monthly visits
  • 2026/1: 167.6K Monthly visits
  • 2026/2: 141.6K Monthly visits
  • 2026/3: 156.9K Monthly visits
  • 2026/4: 122.5K Monthly visits
  • 2026/5: 161K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇮🇳India62.41%100.5K
🇺🇸United States19.21%30.9K
🇰🇷Korea, Republic of9.24%14.9K
🇭🇷Croatia5.14%8.3K
🇵🇹Portugal4%6.4K

Traffic sources

Source typePercentageTraffic
Direct70.02%112.7K
Referral20.65%33.3K
Email9.33%15K

Search keywords

single storesinglestoresinglestore careerssoftmaxsoftmax function
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate MongoDB first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of MongoDB and SingleStore

MongoDB Core features

Vector Database
Backend
Database
Data Management

SingleStore Core features

Vector Database
Database
Backend

Use cases

MongoDB Use cases

cloud database
database
generative AI
Atlas
backend
data management
developer platform
nosql
scalability
vector search

SingleStore Use cases

cloud database
database
generative AI
data platform
OLAP
OLTP
RAG
real-time analytics
SQL
vector database

MongoDB vs SingleStore:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth MongoDB vs SingleStore comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. MongoDB is primarily listed under “Vector Database”, while SingleStore is primarily listed under “Vector Database”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Monthly visits (MongoDB: 5.8M; SingleStore: 161K); Monthly growth (MongoDB: -6.2%; SingleStore: 31.5%); Favorites (MongoDB: 127; SingleStore: 132); Website (MongoDB: www.mongodb.com; SingleStore: www.singlestore.com); Added (MongoDB: 2025-08-06; SingleStore: 2025-08-15). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the MongoDB vs SingleStore monthly traffic comparison, MongoDB currently shows 5.8M visits and SingleStore shows 161K; MongoDB has about 36.3 times the visible traffic of SingleStore, an absolute difference of about 5.7M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate MongoDB first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

MongoDB and SingleStore currently overlap in shared categories: Vector Database; shared tags: cloud database, database, and generative AI. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

MongoDB's unique categories/tags are Backend, Database, Data Management, Atlas, backend, data management, developer platform, and nosql; SingleStore's are Database, Backend, data platform, OLAP, OLTP, RAG, real-time analytics, and SQL. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

MongoDB has no verified rating, 0 comments, 127 favorites, and 123 likes;SingleStore has no verified rating, 0 comments, 132 favorites, and 132 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate MongoDB first

Put MongoDB on the priority trial list when the task aligns with “Vector Database” and especially Backend, Database, Data Management, Atlas, backend, and data management. This follows recorded positioning and does not imply unlisted capabilities are absent.

MongoDB also currently records: pricing is freemium, product type is website, 5.8M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate SingleStore first

Put SingleStore on the priority trial list when the task aligns with “Vector Database” and especially Database, Backend, data platform, OLAP, OLTP, and RAG. This follows recorded positioning and does not imply unlisted capabilities are absent.

SingleStore also currently records: pricing is freemium, product type is website, 161K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in MongoDB and SingleStore, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between MongoDB and SingleStore?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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