516 of 20.209 listings match.
Time = 5y,
src = 10/10,
lang = all,
dict = D1,
terms = 7(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
5606%
above baseline
Reg. pressure (D5 mentions)
6
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
10
near-duplicate templates
01All 20 terms · Tools
15/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
SAPDATEVLexwarePostgresBigQuery
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| Postgres | 24 | 0 | ∞ | 99.0 |
| sevdesk | 3 | 0 | ∞ | 0.0 |
| Excel | 3 | 0 | ∞ | 0.0 |
| MS Dynamics | 1 | 0 | ∞ | 0.0 |
| Confluence | 1 | 0 | ∞ | 0.0 |
| Lexware | 26 | 0 | ∞ | 99.0 |
| Snowflake | 2 | 0 | ∞ | 0.0 |
| BigQuery | 4 | 0 | ∞ | 99.0 |
| Tableau | 1 | 0 | ∞ | 0.0 |
| Looker | 1 | 0 | ∞ | 0.0 |
| Metabase | 1 | 0 | ∞ | 0.0 |
| Lexoffice | 2 | 0 | ∞ | 0.0 |
| HubSpot | 1 | 0 | ∞ | 0.0 |
| SAP | 394 | 1 | +39300.0% | 393.0 |
| DATEV | 69 | 1 | +6800.0% | 68.0 |
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 | 0.51× |
| SAP | migrieren | 7 | 1.31× |
| DATEV | exportieren | 7 | 4.30× |
| SAP | integrieren | 7 | 0.65× |
| Lexware | API | 6 | 5.18× |
| Postgres | API | 5 | 4.67× |
| Postgres | integrieren | 4 | 6.14× |
| Postgres | pipeline | 4 | 17.20× |
| pipeline | API | 4 | 17.95× |
| DATEV | API | 3 | 0.96× |
| DATEV | Buchhalter | 3 | 4.42× |
| Postgres | exportieren | 3 | 5.38× |
| Lexware | integrieren | 3 | 4.25× |
| Postgres | DSGVO | 3 | 16.13× |
| DATEV | REST | 2 | 7.37× |
| DATEV | SOAP | 2 | 7.37× |
| API | REST | 2 | 22.43× |
| API | SOAP | 2 | 22.43× |
| REST | SOAP | 2 | 258.00× |
| DATEV | sevdesk | 2 | 4.91× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records