350 of 19.720 listings match.
Time = 5y,
src = 10/10,
lang = all,
dict = D1,
terms = 9(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
5720%
above baseline
Reg. pressure (D5 mentions)
6
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
7
near-duplicate templates
01All 20 terms · Tools
12/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
SAPPostgresHubSpotBigQueryExcel
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| Postgres | 24 | 0 | ∞ | 99.0 |
| HubSpot | 16 | 0 | ∞ | 99.0 |
| DATEV | 2 | 0 | ∞ | 0.0 |
| Excel | 3 | 0 | ∞ | 0.0 |
| MS Dynamics | 1 | 0 | ∞ | 0.0 |
| Snowflake | 2 | 0 | ∞ | 0.0 |
| BigQuery | 4 | 0 | ∞ | 99.0 |
| Salesforce | 2 | 0 | ∞ | 0.0 |
| Tableau | 1 | 0 | ∞ | 0.0 |
| Looker | 1 | 0 | ∞ | 0.0 |
| Metabase | 1 | 0 | ∞ | 0.0 |
| SAP | 306 | 1 | +30500.0% | 305.0 |
04Co-occurrence · top 20 pairs
Lift = P(A,B)/(P(A)·P(B)) · click to filter on both
| Term A | Term B | Count | Lift |
|---|---|---|---|
| SAP | API | 9 | 0.68× |
| SAP | migrieren | 6 | 0.98× |
| SAP | integrieren | 5 | 0.52× |
| Postgres | API | 5 | 4.86× |
| Postgres | integrieren | 4 | 5.30× |
| Postgres | pipeline | 4 | 7.29× |
| pipeline | API | 4 | 11.67× |
| HubSpot | integrieren | 3 | 5.97× |
| HubSpot | pipeline | 3 | 8.20× |
| Postgres | exportieren | 3 | 8.75× |
| Postgres | DSGVO | 3 | 10.94× |
| SAP | Logistik | 2 | 1.14× |
| SAP | analysieren | 2 | 0.76× |
| analysieren | integrieren | 2 | 21.21× |
| integrieren | Schnittstelle | 2 | 31.82× |
| DATEV | Postgres | 2 | 14.58× |
| Excel | HubSpot | 2 | 14.58× |
| BigQuery | Snowflake | 2 | 87.50× |
| HubSpot | automate | 2 | 21.88× |
| automate | pipeline | 2 | 43.75× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records