512 of 21.217 listings match.
Time = 5y,
src = 10/10,
lang = all,
dict = D1,
terms = 7(ANY). last watermark · 2026-05-08
Demand index · last 4 wk vs window mean
5878%
above baseline
Reg. pressure (D5 mentions)
8
across all listings in window
Top mover · D1
Excel
∞ (z=99.0)
Recurring clusters
7
near-duplicate templates
01All 20 terms · Tools
14/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
SAPPostgresSnowflakePower BIExcel
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| Excel | 9 | 0 | ∞ | 99.0 |
| Snowflake | 23 | 0 | ∞ | 99.0 |
| DATEV | 3 | 0 | ∞ | 0.0 |
| Power BI | 16 | 0 | ∞ | 99.0 |
| Postgres | 25 | 0 | ∞ | 99.0 |
| MS Dynamics | 1 | 0 | ∞ | 0.0 |
| Jira | 3 | 0 | ∞ | 0.0 |
| Confluence | 1 | 0 | ∞ | 0.0 |
| BigQuery | 4 | 0 | ∞ | 99.0 |
| Tableau | 1 | 0 | ∞ | 0.0 |
| Looker | 1 | 0 | ∞ | 0.0 |
| Metabase | 1 | 0 | ∞ | 0.0 |
| HubSpot | 1 | 0 | ∞ | 0.0 |
| SAP | 446 | 1 | +44500.0% | 445.0 |
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 | 0.69× |
| SAP | migrieren | 9 | 0.94× |
| SAP | integrieren | 8 | 0.70× |
| SAP | analysieren | 6 | 0.69× |
| Postgres | API | 5 | 6.83× |
| Excel | SAP | 4 | 0.51× |
| Postgres | integrieren | 4 | 6.30× |
| Postgres | pipeline | 4 | 16.38× |
| pipeline | API | 4 | 27.31× |
| SAP | Logistik | 3 | 0.86× |
| SAP | Schnittstelle | 3 | 0.86× |
| analysieren | integrieren | 3 | 11.82× |
| integrieren | Schnittstelle | 3 | 29.54× |
| Excel | Power BI | 3 | 10.67× |
| Power BI | analysieren | 3 | 9.60× |
| Postgres | exportieren | 3 | 12.29× |
| Postgres | DSGVO | 3 | 15.36× |
| SAP | Mittelstand | 2 | 0.76× |
| SAP | automatisieren | 2 | 0.38× |
| Snowflake | ETL | 2 | 22.26× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records