DataBuff vs SkyWalking
Same-host lab on 192.168.50.140: DataBuff v0.1.4 vs SkyWalking 10.4.0, same Demo (service-a / service-b). DataBuff uses OTLP :4318; SkyWalking uses Agent gRPC :31180. Marks: ✅ verified in this lab · △ present but limited · ❌ no equivalent.
1. Capability matrix
Seven AI capabilities (v0.1.4: See → Squad → Inspect → Diagnose → Repair → Predict → Answer)
| Capability | SkyWalking 10.4.0 | DataBuff v0.1.4 |
|---|---|---|
| ① See · natural-language questions | ❌ | ✅ Ask about services / topology / trends; AI reads telemetry |
| ② Squad · multi-agent collaboration | ❌ | ✅ Parallel evidence gathering; reusable task orchestration |
| ③ Inspect · service inspection + report | ❌ | ✅ One-shot inspection with evidence and actions |
| ④ Diagnose · bottleneck / RCA evidence | ❌ | ✅ Trace / metrics / topology evidence (not a black-box “root cause”) |
| ⑤ Repair · Ops Expert actions | ❌ | ✅ Repair under policy + human approval; dangerous-command denylist |
| ⑥ Predict · capacity / trends | ❌ | ✅ Capacity and trend analysis — from after-the-fact to ahead-of-time |
| ⑦ Answer · product Q&A | ❌ | ✅ Answers deploy / ingest / config from docs and code |
| Extend · MCP / Skill / custom experts | ❌ | ✅ External MCP / Skill and custom digital experts |
Largest gap: SkyWalking has no equivalent AI platform; DataBuff exposes the seven capabilities as configurable home entries with APM as AI context.
APM
| Capability | SkyWalking 10.4.0 | DataBuff v0.1.4 |
|---|---|---|
| 1. Global topology | ✅ Topology (incl. middleware nodes) | ✅ Topology + health colors + drill-down |
| 2. Service list & golden metrics | ✅ Apdex / success / latency / Load | ✅ Service list + charts; same demo shows service-a / b |
| 3. Service-level topology | ✅ | ✅ |
| 4. Service call analysis (up/downstream + Trace) | ❌ | ✅ Upstream/downstream structure, latency/contribution; drill to Trace |
| 5. Instance golden metrics | ✅ Instance metrics | ✅ Instance golden-metric charts / list |
| 6. Instance topology | ❌ | ✅ Dedicated instance topology |
| 7. Instance call analysis (up/downstream + Trace) | ❌ | ✅ Per-instance up/downstream + Trace |
| 8. Endpoint topology | ❌ | ✅ Dedicated endpoint topology |
| 9. Endpoint call analysis (up/downstream + Trace) | ❌ | ✅ Per-endpoint caller/callee + Trace |
| 10. Service flow (service / endpoint Trace contribution) | ❌ Topology answers “who connects”, no service flow | ✅ Response contribution from entry; service / endpoint Trace view |
| 11. Middleware / external pages (DB / cache / MQ / external) | ✅ Dashboard middleware boards (DB / cache / MQ, …) | ✅ Dedicated APM pages + linked call analysis / Trace |
| 12. Error analysis (stats + endpoint) | ❌ | ✅ Error stats + endpoint drill-down |
| 13. Trace list / search | ✅ Service / endpoint / status / latency filters | ✅ Charts + list, multi-dimension filters |
| 14. Trace detail | ✅ Span timeline / Tags | ✅ Call-order waterfall + Span attributes |
| 15. Trace Span → logs | ✅ Trace / Span can link to logs | ✅ Top “Log analysis” + Span Logs / Logs tab |
| 16. Log list / search | ✅ | ✅ |
| 17. Log detail | ✅ | ✅ |
| 18. Log → Trace | ✅ Log → Trace | ✅ Log → Trace, down to Span |
| 19. Profiling (Tracing / AsyncProfiler / eBPF) | ✅ All three | ❌ Not yet |
| 20. Custom dashboards | ✅ Built-in; service + middleware boards | ❌ Not yet |
Basics (incl. Span↔logs) exist on both sides; SW also has middleware Dashboard boards (rows 11 / 20). DataBuff leads on call analysis, instance/endpoint topology, service flow, APM pages linked to call analysis / Trace, error depth, and Log→Trace down to Span. Profiling and dashboard customization depth are SkyWalking strengths DataBuff does not cover yet.
Alerting
| Capability | SkyWalking 10.4.0 | DataBuff v0.1.4 |
|---|---|---|
| How rules are configured | △ OAP alarm-settings.yml (or dynamic config); not built in UI | ✅ Alert center in product |
| Threshold alerts | △ Supported via YAML / MQE | ✅ Managed in platform |
| Smart alerts | ❌ | ✅ Linked with APM metrics |
| Alert event list | △ UI exists; empty in this lab | ✅ Non-empty in this lab |
| Alerts linked to service / middleware | △ Mostly hooks; stitch APM yourself | ✅ List links back into APM |
Gaps are at both ends: how to configure (backend file vs alert center) and what you can do after (events / hooks vs list + smart alerts + service context).
When to pick which
| Scenario | Better fit | Note |
|---|---|---|
| Keep SW Agents, want AI / dedicated pages first | DataBuff (side-by-side) | Point ingest at DataBuff |
| Need the seven AI capabilities | DataBuff | No SW AI platform |
| MCP / Skill / custom experts | DataBuff | SW has no such layer |
| See who slows the entry response | DataBuff | Service flow + contribution |
| Call analysis → Trace (service / instance / endpoint) | DataBuff | No SW path |
| Slow SQL / cache / MQ with call analysis / Trace linkage | DataBuff | SW has Dashboard boards; lacks APM pages + call-analysis linkage |
| Tracing / AsyncProfiler / eBPF Profiling | SkyWalking | DataBuff not yet |
| Custom dashboards / middleware boards | SkyWalking | DataBuff not yet |
| Lightweight Trace only, no AI | Either | No need to migrate for brand |
Boundary: Deep SW plugin lock-in or hard need for Profiling / custom dashboards → stay on SkyWalking. DataBuff fits keep-Agent + AI + APM depth, side-by-side or gradual switch.
2. Screenshot evidence (explains the tables)
Screenshots from 192.168.50.140 (AI home matches v0.1.4 product entry). Captions map to capability rows. Focus on DataBuff extras: seven AI capabilities / dedicated pages / alerting. Profiling is a SkyWalking strength (no filler screenshot here); custom dashboards shown via SkyWalking below — DataBuff has no equivalent yet.
Seven AI capabilities (SkyWalking has no equivalent UI; DataBuff evidence)
Services & topology
Service / instance / endpoint call analysis + service flow (rows 4 / 7 / 9 / 10)
SkyWalking has global/service topology and instance metrics, but no service / instance / endpoint call analysis (with up/downstream metrics and Trace), and no instance/endpoint topology or service-flow Trace contribution view. DataBuff can drill to Trace on rows 4, 7, 9; service flow (10) expands from entry service-a with downstream response contribution (e.g. service-b ~58%).
Trace
Log / Metric (linkage granularity)
Dashboards (row 20; SkyWalking strength)
DataBuff APM pages (rows 11 / 12; SW middleware via Dashboard evidence above)
These pages show integrated APM depth — vs SW Dashboard middleware boards, DataBuff pages link more smoothly to call analysis, service flow, and Trace.
Alerting
