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Most buyers should pick New Relic.
Choose Datadog if you need one platform spanning infrastructure, applications, logs, security, digital experience, and software delivery. But its published price is for AI credits—$500 monthly on annual billing for 500 credits—not a complete platform bill. Choose New Relic if you want a free entry tier and clearer published user pricing: Standard starts with one full-platform user at $10 and $99 per additional user, while Pro costs $349 per user monthly with an annual commitment. Check ingest and add-on charges.
01Side by side
| Datadog | New Relic | |
|---|---|---|
| Starting price | $500/month annually for 500 AI credits; platform pricing unclear | Free; Standard starts at $10 for first full-platform user |
| Free plan | No free plan listed | Free plan includes 100 GB monthly ingest |
| Best for | Teams needing monitoring, security, and software delivery together | Teams starting with observability or scaling complex workloads |
| Core strength | Broad infrastructure, application, security, and delivery coverage | Observability across applications, infrastructure, logs, and users |
| Learning curve | Not published | Not published |
| Data and integrations | Integration counts not published; coverage spans infrastructure through delivery | Integration counts not published; observability, AI, and logs |
| Team and seat costs | Listed price covers AI credits, not a stated seat count | Standard: $99/additional user; Pro: $349 annual, $418.80 monthly |
| Support | Support response SLA not published | 2-hour critical SLA on Pro; 1-hour on Enterprise |
Datadog Choose Datadog if
- Choose Datadog if you need infrastructure through software delivery in one platform.
- Choose Datadog if security and digital experience monitoring belong in the same stack.
- Choose Datadog if AI features priced by credits fit your buying model.
New Relic Choose New Relic if
- Choose New Relic if you want a free plan with published ingest limits.
- Choose New Relic if you need published per-user prices and support SLAs.
- Choose New Relic if application, infrastructure, log, and user monitoring cover your needs.
02Pricing compared
New Relic is easier to price from the published figures, but ingest and add-ons can increase the bill. Its Free tier includes 100 GB of monthly data ingest and one full-platform user. Standard starts at $10 for its first full-platform user, then $99 per additional user, up to five. Pro is $349 per user monthly with an annual commitment or $418.80 month to month.
Datadog’s published price is for AI Credits, not the full platform: the pricing page lists $500 monthly for 500 credits with annual billing, or $1.30 per credit on demand. The full platform bill is not published on the vendor's site. Compare expected user counts, ingest and add-ons before treating either starting price as your likely spend.
03Features and depth
Datadog spans infrastructure, applications, logs, cloud security, digital experience and software delivery. Its listed tools include Kubernetes and serverless monitoring, APM and profiling, log management, vulnerability and compliance coverage, real-user monitoring, session replay, CI visibility, feature flags and DORA metrics. That breadth makes it a fit to consider when teams want those functions under one platform; it also means checking which products and pricing apply to your stack.
New Relic covers application, infrastructure, log, security and user-experience monitoring, plus AI monitoring for model and agent interactions, behavior and costs. Its homepage also highlights automated remediation. The Free tier lists 500 synthetic checks, while paid plans add user-based options and ingest charges. Both products cover core observability areas. Datadog’s published feature list extends further into software delivery and a wider range of security and digital-experience tools; New Relic’s materials call out AI monitoring directly.
04Ease of use and learning curve
Our review scores give New Relic a 7 for ease of use and Datadog a 6, but they don’t explain how either tool performs for a particular team. We wouldn’t treat that one-point gap as a migration verdict.
Datadog’s feature list covers many product areas, so teams should map which capabilities they actually need before comparing plans. New Relic offers a Free tier for trying its listed observability features, with 100 GB of monthly ingest and at least eight days of retention. The published materials don’t detail setup time, training or migration effort for either platform, so those remain items to validate with your own requirements.
Questions people ask
Who is Datadog’s biggest competitor?
The published materials don’t identify a single biggest competitor or rank the market. New Relic is a direct comparison point here: both products cover application, infrastructure, log and user-experience monitoring. Which alternative matters most depends on your required features, user count, ingest volume and total cost.
What are the top 3 observability tools?
The published sources don’t rank observability tools or support a top-three list. They describe Datadog and New Relic as observability platforms with overlapping monitoring capabilities. Treat them as two options to evaluate, then compare other vendors against your needs and published pricing rather than relying on an unsupported ranking.
Who are New Relic’s competitors?
Datadog is one relevant competitor in this comparison: both platforms list application, infrastructure, log and user-experience monitoring. The published materials don’t name or compare other New Relic competitors, so we can’t responsibly provide a complete competitor list or rank them from these sources.
Who is Datadog’s biggest client?
The published Datadog materials don’t identify its biggest client, define what biggest means, or provide customer revenue or usage rankings. We can’t verify a top customer from these sources. For a buying decision, focus on whether Datadog’s listed capabilities and total pricing fit your own environment.