High-performance vector similarity search engine and database for AI applications with filtering capabilities.
Best For
Teams & solo builders
Key Pros & Cons
Strengths
- Bulk data export — your data stays portable
- Webhook support — enables event-driven pipelines
Watch Out For
- Low community score (2/100) — smaller support network
Market Momentum
13
-2
24h
-2
7d
+0
30d
14-day heat score history
Creator Buzz3
Search Interest3
Community Activity2
Growth Momentum45
Score ForecastConfidence: low
11
7-day est.
11
14-day est.
Trend slope: 0.00 pts/day
What This Score Means
Qdrant holds a heat score of 13 in AI Frameworks — moderate visibility with room to grow.
Abandonment & Maintenance Risk
Low Risk
Trend phase—
30-day score change+0 pts
Listed on HookFlow4mo old
Discontinued flag✓ No
Risk Factors
- No major abandonment signals detected
Data Lock-In Index
0
/ 100 (lower = more open)
Open-Data Compliant ✓✓ Webhooks Out✓ Bulk Export✓ Open Formats
vs. Category Peers (AI Frameworks)
Tool
A.R.C.
Heat
7d Δ
Lock-In
Qdrant (this)
Open-source vector DB
—
13
-2
0
Replicate▲ Declining
C
51
-7
0
Burn
—
46
+8
33
LangChain▲ Declining
LLM application framework for chains and agents
B
45
-1
0
Candle
—
44
+7
33
Haystack▲ Peak
—
40
+3
100
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).
Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of August 4, 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 — August 4, 2026hookflow.ai