Datadog vs New Relic: Which One Fits a Solo Dev Budget?
Summary
Datadog vs New Relic comes down to how you pay. Datadog bills per host and per product, which is fast to start but gets expensive as you add signals. New Relic gives you 100 GB of free ingest and one full user forever, then charges by data and seats. For a solo dev shipping a side project, New Relic is the cheaper place to start. Datadog earns its price once a team wants one polished, turnkey stack and has the budget for it.
Datadog
- Dashboards and auto-discovery work within minutes of installing the agent
- One UI and one query model across infra, APM, logs, RUM and synthetics
- Large integration catalog and a Gartner Leader placement for observability platforms
- Per-host plus per-product billing compounds quickly once you add APM, logs and custom metrics
- No self-hosted option, and the free plan only covers infrastructure on up to 5 hosts
Polished and fast to value, but you pay for each signal you switch on.
New Relic
- Perpetual free tier: 100 GB ingest per month and the full platform for one user
- No per-host pricing, so containers and short-lived instances cost nothing extra
- Higher G2 scores for ease of setup (8.7 vs 8.3) and quality of support (8.6 vs 8.4)
- Ingest stops when you pass 100 GB in a month on the free tier until you upgrade or the month resets
- Full-platform seats cost $99 to $349 each on paid editions, which hurts as the team grows
The better starting point when the budget is zero and the stack is small.
At-a-glance
| Datadog | New Relic | |
|---|---|---|
| Pricing model | Per host, per product (infra, APM, logs, RUM and synthetics billed separately) | Per GB ingested plus per full-platform user; no per-host charge |
| Cost to start | Free infra plan capped at 5 hosts; Pro infra $15/host/mo, APM from $31/host/mo | Free: 100 GB ingest/mo and 1 full user; then $0.40/GB beyond 100 GB |
| Free tier | Infrastructure only, up to 5 hosts | Full platform, 100 GB/mo, 1 full user, unlimited basic users |
| Log pricing | $0.10/GB ingest, then from $1.70 per million events indexed (15-day retention) | Counted in the same $0.40/GB ingest as everything else |
| Setup ease (G2 score) | 8.3 out of 10 | 8.7 out of 10 |
| Hosting | SaaS only | SaaS only (EU data center +$0.05/GB) |
| G2 rating | 4.4/5 (726 reviews) | 4.4/5 (about 585 reviews) |
Verdict
New Relic is the pick for most solo builders and small teams, because its free tier is real and its bill follows data volume, not host count. Datadog is the better call when a funded team wants a single polished vendor and accepts that every added signal is another line on the invoice. If you have one app on one or two hosts, start on New Relic and move only when something specific is missing.
How we tested
This is desk research, not a lab test. I compared the public pricing pages of both vendors as of October 2026, their documentation, and aggregated customer reviews on G2 (Datadog 4.4/5 across 726 reviews, New Relic 4.4/5 across about 585). I did not run both agents against the same app, so I make no claims about overhead or detection speed. Scores out of 5 weigh cost to start, setup effort, signal coverage and support, tilted toward a solo developer or a team under ten. Neither vendor pays us, and neither link here is an affiliate link. Prices change often, so check the vendor page before you commit.
Verdict: in the Datadog vs New Relic matchup, New Relic wins for solo devs and small teams. Its free tier gives you 100 GB of ingest a month and a full-platform seat, while Datadog bills per host and per product from day one. Datadog is the stronger choice for a funded team that wants one polished vendor and has the budget. Start on New Relic; switch when you hit a concrete gap.
Why this matters at 11pm on a side project
You shipped the thing. It runs on one small VM, and now you want to know why it slows down every evening around nine. That is the moment you open a Datadog vs New Relic tab and realize both tools were designed with a 200-engineer company in mind. The question for a solo builder is simpler: which one lets me see inside the app without a monthly invoice I did not plan for?
Both are full observability platforms. Both do APM, infrastructure metrics, logs, browser monitoring and synthetic checks. Both have an AI agent that reads alerts and suggests a cause. The difference that decides most solo cases is the billing model, not the feature list.
How Datadog charges, and where it bites
Datadog prices each product separately, mostly per host. Infrastructure Pro is $15 per host per month, Enterprise is $23. APM starts at $31 per host per month on top of that. Logs are ingested at $0.10 per GB and indexed from $1.70 per million events with 15-day retention. Synthetic API tests start at $5 per 10,000 runs, browser tests at $12 per 1,000.
There is a free infrastructure plan, but it covers up to 5 hosts and infrastructure only. The moment you want traces or logs, you are in paid territory. Custom metrics are bundled per host (100 on Pro, 200 on Enterprise), and going past that is the classic source of bill shock. High-cardinality tags, such as a user ID on a metric, are the usual culprit.
What you get for the money is real. Install the agent and the dashboards are there within minutes. One UI covers everything, and the integration catalog is huge. Datadog is also SaaS only, so there is no self-hosted fallback if the pricing changes.
How New Relic charges, and where it bites
New Relic drops the host count entirely. You pay for data ingested and for people. The free tier includes 100 GB of ingest per month, one full-platform user and unlimited basic users who can view dashboards and alerts. Beyond 100 GB it is $0.40 per GB, or $0.60 with the Data Plus option that adds longer retention. Logs, traces and metrics all count toward the same ingest number.
Seats are where it bites. Core users are $49 each. Full-platform users on the Standard edition are $10 for the first and $99 for each additional one, capped at five. Pro is $349 per user on an annual commitment. A ten-person team with everyone on Pro adds up faster than the data bill.
The free tier has one more sharp edge. When you pass 100 GB in a month, ingest stops and you lose access until you upgrade or the next month begins. New Relic emails you at 85%, so it is a known cliff, but it is a cliff. Default retention on free is also short, at least 8 days.
What it costs a one-app side project
Take a typical solo setup: two small hosts, one API, a few GB of logs a day. On Datadog, two hosts with Infrastructure Pro and APM come to roughly 2 x ($15 + $31) = $92 a month before logs, and that is before any custom metrics. Log indexing adds on top. The free plan covers the hosts, but not the traces.
On New Relic the same setup is likely inside the free 100 GB if you keep logs modest, which makes the bill $0. If you are logging heavily and cross 100 GB, you pay $0.40 for each extra GB. For example, 150 GB total would be about $20 for the extra 50 GB. That example is my arithmetic from the list prices, not a measured bill, so run your own numbers with real volume.
What reviewers say
On G2, both products sit at 4.4 out of 5: Datadog across 726 reviews and New Relic across roughly 585. New Relic scores higher on ease of setup (8.7 vs 8.3) and quality of support (8.6 vs 8.4). Reviewers of both products list "expensive" and "pricing issues" among the most common complaints, which tells you neither vendor is cheap at scale. Datadog's most-cited strength is integrations. New Relic's is ease of use.
Reviews skew toward mid-market and enterprise buyers. Few solo developers write G2 reviews, so treat these scores as a signal about team usage, not about a one-person project.
When to pick Datadog anyway
There are three honest reasons. First, your team already lives in its integrations and you do not want to re-instrument. Second, you want infra, APM, logs, security and RUM behind a single contract and a single support line. Third, you value its out-of-the-box dashboards and are billing a client who pays for tooling.
One reason not to: if you are choosing it because it is the name everyone knows. That is how a side project ends up with a monitoring bill larger than its hosting bill.
The setup path I would take
Start on the New Relic free tier. Instrument one service, send logs sparingly, and watch the ingest number in the usage page for two weeks. If you stay under 100 GB and one seat is enough, you are done. If you hit the cliff or need a second full-platform seat, price Standard against Datadog for your actual host count before you move.
One last rule that applies to both: drop noisy logs and high-cardinality tags at the source before you pay to store them. That habit cuts either bill by a large margin, and it costs nothing.
What is the one signal you would pay for first: traces, logs or uptime checks?