Datadog vs Zyte
Compare Datadog and Zyte on features, pricing, and buyer fit using the same researched criteria.

Datadog
Observability suite — infrastructure, APM, logs, and security signals with consumption/host pricing; Infrastructure Pro from $15/host/mo annual.
Best for
- • SRE/platform teams needing unified infra + APM + logs
- • Cloud-native orgs with AWS/Azure/GCP estates
- • Teams that can model multi-module observability TCO upfront
Starting from $15.00/user/mo
Free plan available
VS
Our verdict
No universal winner. Choose based on which criteria matter most for your team.
Datadog is better for
- ✓ Starting pricing
- ✓ Free plan
- ✓ Integrations
- ✓ Security & admin
Choose Datadog if: SRE/platform teams needing unified infra + APM + logs
Choose Zyte if: Teams that knew Scrapinghub and need the Zyte API extraction path

Zyte
Zyte API web-data collection (formerly Scrapinghub) — PAYG; monthly commitments from $100; $5 free trial credit. Does not outrank Bright Data 7.7.
Best for
- • Teams that knew Scrapinghub and need the Zyte API extraction path
- • Buyers who want a published $100 monthly commit versus Bright Data ~$499
- • Projects that will spend the $5 trial credit before scaling
Starting from $100.00/user/mo
No free plan
Datadog vs Zyte at a glance
Criterion-level leaders from verified research.
Scorecard preview
Criterion leaders based on verified research — open the Scorecard tab for evidence detail.
- Starting pricingDatadog
Datadog
Zyte
- Free planDatadog
Datadog
Zyte
- User / licence minimumDepends
Datadog
Zyte
- IntegrationsDatadog
Datadog
Zyte
- Security & adminDatadog
Datadog
Zyte
Which It Development is better for you?
Quick picks based on fit — not a universal ranking.
- → Datadog
Best for starting pricing
Datadog publishes a lower researched starting floor ($15/mo vs $100/mo for Zyte). Confirm currency, renewals, and add-ons — not a total TCO winner.
- → Datadog
Best for free plan
Datadog researches a free plan; Zyte does not research a free plan.
- → Datadog
Best for integrations
Datadog leads on integrations (9/10 vs 8/10) from approved SoftwareGlimpse editorial assessments — not hands-on lab testing.
The biggest differences
Where the products diverge most clearly on verified criteria.
Starting pricing
Datadog winsDatadog
Datadog publishes a lower researched starting floor ($15/mo vs $100/mo for Zyte). Confirm currency, renewals, and add-ons — not a total TCO winner.
Zyte
Trails Datadog on this criterion
Free plan
Datadog winsDatadog
Datadog researches a free plan; Zyte does not research a free plan.
Zyte
Trails Datadog on this criterion
Integrations
Datadog winsDatadog
Datadog leads on integrations (9/10 vs 8/10) from approved SoftwareGlimpse editorial assessments — not hands-on lab testing.
Zyte
Trails Datadog on this criterion
Security & admin
Datadog winsDatadog
Datadog leads on security admin (9/10 vs 7/10) from approved SoftwareGlimpse editorial assessments — not hands-on lab testing.
Zyte
Trails Datadog on this criterion
Which should you choose?
Choose Datadog if
- SRE/platform teams needing unified infra + APM + logs
- Cloud-native orgs with AWS/Azure/GCP estates
- Teams that can model multi-module observability TCO upfront
Choose Zyte if
- Teams that knew Scrapinghub and need the Zyte API extraction path
- Buyers who want a published $100 monthly commit versus Bright Data ~$499
- Projects that will spend the $5 trial credit before scaling
Related comparisons
Alternatives to consider

New Relic
Observability — Free 100 GB ingest + 1 full user; Standard from $10 first full user then $99; data $0.40/GB after 100 GB; Pro $349/full user annual.

Dynatrace
Enterprise observability — Dynatrace Platform Subscription (DPS) annual commit + rate card. Full-Stack list unit ~$58/mo per 8 GiB host; 15-day trial. No per-seat SKU.

Bright Data
Web data / proxy platform — pay-as-you-go from ~$4/GB residential; starter commitments from ~$499/mo.

ScraperAPI
Managed scraping API — Free 1,000 credits; Hobby $49/mo ($44.10 annual); 7-day trial with 5,000 credits.
How we compare
A short look at the comparison process. Full methodology
1
Collect
Collect official product information, pricing, and product evidence.
2
Normalize
Map evidence to the same category evaluation criteria for both products.
3
Compare
Evaluate both products against identical criteria — ties and depends are allowed.
4
Explain
Show why each product wins, loses, or ties, with evidence behind the outcome.
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- No invented scores or prices
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