Your AI app deserves a smarter backend. MongoDB Atlas brings native vector search with one API, zero extra infra.
Best For
Teams & solo builders
Key Pros & Cons
Watch Out For
Low community score (2/100) — smaller support network
Market Momentum
44
-8
24h
+23
7d
+30
30d
14-day heat score history
Creator Buzz3
Search Interest71
Community Activity2
Abandonment & Maintenance Risk
Low Risk
Trend phaseRising
30-day score change+30 pts
Listed on HookFlow2mo old
Discontinued flag✓ No
Risk Factors
No major abandonment signals detected
Active growth — strong maintenance signal
Data Lock-In Index
100
/ 100 (lower = more open)
○ Webhooks Out○ Bulk Export○ Open Formats
vs. Category Peers (Data & Analytics)
Tool
A.R.C.
Heat
7d Δ
Lock-In
MongoDB (this)
—
44
+23
100
Julius▲ Peak
—
74
+1
100
Columns▲ Declining
—
63
-8
100
Dex▲ Declining
—
57
-15
100
Tictable▲ Rising
—
49
+43
100
Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of June 20, 2026. Heat scores, community activity, and market momentum are recalculated daily — figures shown here represent a point-in-time snapshot and may differ from current values on HookFlow.ai.
HookFlow.ai Infrastructure Report — June 20, 2026hookflow.ai
Growth Momentum100
What This Score Means
MongoDB is in the rising phase within Data & Analytics, gaining +23 pts this week — adoption is building.
Anakin▲ Rising
—
45
+25
100
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).
