Technology · head to head
Datadog vs Steampipe

Steampipe
Developer Tools
Query cloud APIs, SaaS tools and code with SQL, with no extract or load step
- From
- Free
- Free plan
- Yes
The short version
- Only Steampipe has a free tier, so it costs nothing to try first.
- Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Steampipe aGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
- They diverge on capability: Datadog covers Infrastructure monitoring, Steampipe covers SQL over live APIs.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Datadog and Steampipe actually diverge.
| Attribute | Datadog | Steampipe |
|---|---|---|
| Starting price | $15/month | Free |
| Pricing model | Unknown | Open source, with paid hosting through Turbot Pipes |
| Free tier | No | Yes |
| Platforms | Web, Linux, Windows, macOS | macOS, Linux, Windows, Docker, Web |
| Category | Technology | Developer Tools |
| Founded | 2010 | Unknown |
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Datadog
- Infrastructure monitoring
- Application performance monitoring
- Log management
- Real user monitoring
- Synthetic monitoring
- Security monitoring
- Network monitoring
- Serverless monitoring
Only in Steampipe
- SQL over live APIs
- Wide plugin set
- Embedded Postgres
- Compliance benchmarks
- Joins across providers
- Hosted option
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot Steampipe
- Application performancenot Steampipe
- Security monitoringnot Steampipe
- Log analysisnot Steampipe
- Cloud monitoringnot Steampipe
Steampipe
- Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Datadog
- Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Datadog
- Inventory and drift questions spanning several cloud providers in one querynot Datadog
- Engineers who would rather write SQL than learn each provider command line toolnot Datadog
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Datadog
- Consumption-based pricing model makes costs hard to predict and can scale quickly
- Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
- No free tier for production monitoring
- High costs for organizations with large amounts of log data or high-cardinality metrics
Steampipe
- AGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
- Dashboards, benchmarks and mods were removed from Steampipe entirely at version 1.0 in October 2024 and now live in a separate product, so pre-2024 documentation and tutorials describe commands that no longer exist.
- Live querying is bound by cloud provider API rate limits and keeps no persistent store by default, which is why a separate DuckDB-backed product exists for log volumes and why large accounts return slowly.
- The company is fifteen people and bootstrapped, maintaining four command line tools plus a hosted service plus two further products, and the newer tools have thin community traction relative to that surface area.
- Hosted tiers include only three users regardless of tier, with additional Enterprise users charged separately, so a team of thirty costs an order of magnitude more than the headline figure before compute and storage are counted.
Pricing, plan by plan
Datadog
$15/month- Infrastructure Monitoring$15/month
- Host monitoring
- Basic dashboards
- APM$31/month
- Application performance monitoring
- Trace collection
- Log Management$0.1/gb
- Log indexing
- Search and filter
Steampipe
Free- Steampipe CLIFree
- AGPL-3.0
- All plugins
- No user or query limits
- Pipes DeveloperFree
- One user
- 400 compute minutes
- 3GB storage
- Pipes Team$49/month
- Three users
- 2,000 compute minutes
- 20GB storage
- Pipes Enterprise$249/month
- Three users
- 10,000 compute minutes
- 100GB storage
Which should you pick?
Choose Datadog if
- You need infrastructure monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want application performance monitoring.
Choose Steampipe if
- You need sql over live apis.
- You want to start without paying.
- You work on macOS, Linux, Windows, Docker, Web.
- You also want wide plugin set.
Questions people ask
- Is Datadog or Steampipe better?
- Neither clearly leads. Datadog starts at $15/month and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or Steampipe?
- Steampipe has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Steampipe.
- Does Datadog or Steampipe run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. Steampipe runs on macOS, Linux, Windows, Docker, Web.
- Can I use Steampipe for free?
- Yes. Steampipe has a free tier, so you can try it without paying. Datadog starts at $15/month.
- What is Datadog best used for?
- Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Steampipe is typically brought in for.
- What can Datadog do that Steampipe cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.
Answered from the vendors’ own pages
Datadog: How is Datadog pricing structured?
Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.
SourceSteampipe: When did Steampipe become AGPL?
May 2021, about four months after the project went public. It is a settled licence rather than a recent change, and predates the Business Source Licence wave it is often confused with.
Datadog: Does Datadog offer a free tier?
Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.
SourceSteampipe: Where did the dashboards and benchmarks go?
Into Powerpipe. They were deprecated in March 2024 and removed from Steampipe at version 1.0 in October 2024, so the check, dashboard, mod and variable commands are gone.
Datadog: What integrations does Datadog support?
Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.
SourceSteampipe: Is it fast on a large cloud estate?
Not always. Queries call provider APIs at request time, so rate limits rather than query planning set the pace, and there is no persistent store by default.
Datadog: Can Datadog monitor Kubernetes clusters?
Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.
SourceSteampipe: Does the AGPL affect internal use?
Running it internally for your own analysis is fine. Putting a web interface in front of it that other people use is where the network clause becomes a question for your legal team.
Datadog: How can I reduce Datadog costs?
Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.
SourceSteampipe: Is a bootstrapped vendor a risk?
It cuts both ways. There is no investor pressure toward a licence change or an exit, and there are also fifteen people supporting a large product surface.
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