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MongoDBReliability issues

Multiple users report significant performance slowdowns with large collections

Read at g2.com

What happened

An SDET at a mid-market company reports that MongoDB Compass performance slows down significantly with very large collections and consumes a noticeable amount of memory, hindering efficiency. Another mid-market user confirms performance issues with larger collection sizes, highlighting a recurring problem across different users.

Source

From the reviews

  • 4.5 of 5
    “Performance can slow down when working with very large collections. It consumes a noticeable amount of memory compared to lighter database clients.”

    Mohit K., SDETJul 6, 2026View

  • 5 of 5
    “It has performance issue with larger collection size and each entry in the collection has the maximum size limit of 16mb.”

    Verified User in Information Technology and Services, Mid-Market (51-1000 emp.)Jul 6, 2026View

Extracted by Autobound

From the Signal API record
Signal
Reliability issues

What this signalsReview themes often show where customers may look for an alternative.

Product
MongoDB Compass
Star rating
4.5 of 5
Reviewer
Mohit K.

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The full record

From the Signal API record

Details

Reviewer role
SDET

Extraction

Detected
Jul 14, 2026
signal_type
product-reviews
signal_subtype
ReliabilityIssues

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The API returns more than this page shows

This page shows a preview. The full product-reviews record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
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Show the full JSONThe record on this page and the API request

GET /v1/signals/13fb42fa-9dc2-4f4a-b485-2e64f8658472 returns this record as JSON. POST /v1/companies/enrich returns every signal for mongodb.com.

{
  "signal_id": "13fb42fa-9dc2-4f4a-b485-2e64f8658472",
  "signal_type": "product-reviews",
  "signal_subtype": "ReliabilityIssues",
  "detected_at": "2026-07-14T05:35:40.986+00:00",
  "company": {
    "name": "MongoDB",
    "domain": "mongodb.com"
  },
  "data": {
    "summary": "An SDET at a mid-market company reports that MongoDB Compass performance slows down significantly with very large collections and consumes a noticeable amount of memory, hindering efficiency. Another mid-market user confirms performance issues with larger collection sizes, highlighting a recurring problem across different users.",
    "evidence": [
      {
        "quote": "Performance can slow down when working with very large collections. It consumes a noticeable amount of memory compared to lighter database clients.",
        "review_url": "https://www.g2.com/products/mongodb-compass/reviews#review-13069029",
        "review_date": "2026-07-06",
        "star_rating": 4.5,
        "reviewer_name": "Mohit K.",
        "reviewer_title": "SDET"
      },
      {
        "quote": "It has performance issue with larger collection size and each entry in the collection has the maximum size limit of 16mb.",
        "review_url": "https://www.g2.com/products/mongodb-compass/reviews#review-13067876",
        "review_date": "2026-07-06",
        "star_rating": 5,
        "reviewer_name": "Verified User in Information Technology and Services",
        "reviewer_title": "Mid-Market (51-1000 emp.)"
      }
    ],
    "headline": "Multiple users report significant performance slowdowns with large collections",
    "relevance": 75,
    "product_name": "MongoDB Compass",
    "source_page_url": "https://www.g2.com/products/mongodb-compass/reviews/reviews",
    "switching_intent": {
      "urgency": "none",
      "detected": false
    },
    "quantified_impact": {
      "has_numbers": false
    },
    "decision_maker_complaint": {
      "title": "SDET",
      "is_decision_maker": false
    }
  }
}

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