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MongoDB
Vektordatenbank · 5.8M monatliche besuche

MongoDB ist eine Entwickler-Datenplattform, die auf einer führenden NoSQL-Dokumentendatenbank aufbaut. Ihr Cloud-Angebot, MongoDB Atlas, bietet eine integrierte Suite von Diensten, einschließlich leistungsstarker Vektorsuche für generative KI, Volltextsuche und Echtzeitanalysen. Sie ist für moderne Anwendungen konzipiert und bietet Flexibilität, Skalierbarkeit und eine einheitliche Erfahrung für Entwickler, um schneller und effizienter über mehrere Clouds hinweg zu bauen.

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SingleStore
Vektordatenbank · 161K monatliche besuche

SingleStore ist eine hochleistungsfähige Echtzeit-Datenplattform für Unternehmens-KI und datenintensive Anwendungen. Sie vereint transaktionale (OLTP) und analytische (OLAP) Workloads, einschließlich Vektorsuche, in einer einzigen, verteilten SQL-Datenbank und liefert Latenzzeiten im Millisekundenbereich bei hoher Skalierbarkeit.

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MongoDB vs SingleStore: Preise, Funktionen und Traffic

Vergleiche MongoDB und SingleStore nach Positionierung, Preis, Funktionen, Traffic und Nutzerfeedback.

Aktualisiert 05.08.2026

Produktübersicht

MongoDB Produktübersicht

MongoDB ist eine Entwickler-Datenplattform, die auf einer führenden NoSQL-Dokumentendatenbank aufbaut. Ihr Cloud-Angebot, MongoDB Atlas, bietet eine integrierte Suite von Diensten, einschließlich leistungsstarker Vektorsuche für generative KI, Volltextsuche und Echtzeitanalysen. Sie ist für moderne Anwendungen konzipiert und bietet Flexibilität, Skalierbarkeit und eine einheitliche Erfahrung für Entwickler, um schneller und effizienter über mehrere Clouds hinweg zu bauen.

Preview

SingleStore Produktübersicht

SingleStore ist eine hochleistungsfähige Echtzeit-Datenplattform für Unternehmens-KI und datenintensive Anwendungen. Sie vereint transaktionale (OLTP) und analytische (OLAP) Workloads, einschließlich Vektorsuche, in einer einzigen, verteilten SQL-Datenbank und liefert Latenzzeiten im Millisekundenbereich bei hoher Skalierbarkeit.

Preview

Detailed feature comparison

FeatureMongoDBSingleStore
HauptkategorieVektordatenbankVektordatenbank
Hinzugefügt2025-08-062025-08-15
PreismodellFreemiumFreemium
Offizielle Websitewww.mongodb.comwww.singlestore.com
ProdukttypWebsiteWebsite
Performance data
NutzerbewertungNicht verifiziertNicht verifiziert
Kommentare00
Monatliche Besuche5.8M161K
Monatliches Wachstum-6.2%31.5%
Favoriten127132
DetailsDetails ansehenDetails ansehen

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

Monatliche Besuche
5.8M
Ø Besuchsdauer
6:09
Seiten pro Besuch
8.88
Absprungrate
31.08%
Data updated 2026-06-15

Monthly traffic trend

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

Top-Regionen

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-Quellen

Source typePercentageTraffic
Direkt86.31%5M
Verweis10.12%591.4K
E-Mail3.57%208.6K

Suchbegriffe

atlasmongo dbmongodbmongodb atlasmongodb compass

SingleStore monthly traffic:

Latest traffic

Monatliche Besuche
161K
Ø Besuchsdauer
2:48
Seiten pro Besuch
5.62
Absprungrate
37.01%
Data updated 2026-06-15

Monthly traffic trend

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

Top-Regionen

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-Quellen

Source typePercentageTraffic
Direkt70.02%112.7K
Verweis20.65%33.3K
E-Mail9.33%15K

Suchbegriffe

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

Vektordatenbank
Backend
Datenbank
Datenmanagement

SingleStore Core features

Vektordatenbank
Datenbank
Backend

Use cases

MongoDB Use cases

Cloud-Datenbank
Datenbank
Generative KI
Atlas
Backend
Datenmanagement
Entwicklerplattform
NoSQL
Skalierbarkeit
Vektorsuche

SingleStore Use cases

Cloud-Datenbank
Datenbank
Generative KI
Datenplattform
OLAP
OLTP
Retrieval-Augmentierte Generierung
Echtzeitanalyse
SQL
Vektordatenbank

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 “Vektordatenbank”, while SingleStore is primarily listed under “Vektordatenbank”, 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: Vektordatenbank; shared tags: Cloud-Datenbank, Datenbank und Generative KI. 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, Datenbank, Datenmanagement, Atlas, Entwicklerplattform, NoSQL, Skalierbarkeit und Vektorsuche; SingleStore's are Datenbank, Backend, Datenplattform, OLAP, OLTP, Retrieval-Augmentierte Generierung, Echtzeitanalyse und 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 “Vektordatenbank” and especially Backend, Datenbank, Datenmanagement, Atlas, Entwicklerplattform und NoSQL. 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 “Vektordatenbank” and especially Datenbank, Backend, Datenplattform, OLAP, OLTP und Retrieval-Augmentierte Generierung. 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.

Vergleichs-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.