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Technology · head to head

MongoDB Atlas vs Steampipe

MongoDB Atlas logo

MongoDB Atlas

Technology

The multi-cloud developer data platform

From
Free
Free plan
Yes
Steampipe logo

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

  • Each has a real cost: MongoDB Atlas m0 free tier limited to learning and exploration only with no backup capability; 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.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which MongoDB Atlas and Steampipe actually diverge.

Attributes where MongoDB Atlas and Steampipe differ
AttributeMongoDB AtlasSteampipe
Pricing modelusage-basedOpen source, with paid hosting through Turbot Pipes
PlatformsWebmacOS, Linux, Windows, Docker, Web
CategoryTechnologyDeveloper Tools

Identical on both: starting price (Free), free tier (Yes), 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 MongoDB Atlas

Nothing recorded that Steampipe does not also cover.

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.

MongoDB Atlas

  • Building applications with flexible JSON document storagenot Steampipe
  • Performing full-text and vector search on unstructured datanot Steampipe
  • Scaling multi-cloud deployments across AWS, Azure, GCPnot Steampipe
  • Streaming event data integration with Kafkanot Steampipe

Steampipe

  • Security teams answering posture questions against live cloud accounts rather than a nightly exportnot MongoDB Atlas
  • Compliance evidence gathering where the answer must reflect the account at the moment it is askednot MongoDB Atlas
  • Inventory and drift questions spanning several cloud providers in one querynot MongoDB Atlas
  • Engineers who would rather write SQL than learn each provider command line toolnot MongoDB Atlas

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

MongoDB Atlas

  • M0 free tier limited to learning and exploration only with no backup capability
  • Data transfer egress charges apply at 0.12 USD/GB for dedicated clusters; inbound free
  • MongoDB Search and Vector Search add significant per-hour costs starting at 0.12 USD/hour

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

MongoDB Atlas

Free
  • M0 (Free Tier)Free
    • 512 MB storage
    • Shared RAM and vCPU
    • No backups
  • Flex Tier$0.011/hour
    • 5 GB storage
    • Shared RAM and vCPU
    • Pay-as-you-go hourly billing
  • M2 Shared$9/month
    • 2 GB storage
    • Shared RAM and vCPU
  • M5 Shared$25/month
    • 5 GB storage
    • Shared RAM and vCPU

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 MongoDB Atlas if

  • You want to start without paying.

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 MongoDB Atlas or Steampipe better?
Neither clearly leads. MongoDB Atlas starts at Free and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, MongoDB Atlas or Steampipe?
MongoDB Atlas starts at Free and Steampipe at Free.
Does MongoDB Atlas or Steampipe run on more platforms?
MongoDB Atlas runs on Web. Steampipe runs on macOS, Linux, Windows, Docker, Web.
Can I use MongoDB Atlas for free?
Both have a free tier, so you can try either at no cost before committing.
What is MongoDB Atlas best used for?
MongoDB Atlas is most often used for building applications with flexible json document storage, performing full-text and vector search on unstructured data, scaling multi-cloud deployments across aws, azure, gcp, streaming event data integration with kafka. Of those, building applications with flexible json document storage and performing full-text and vector search on unstructured data are not what Steampipe is typically brought in for.
What can MongoDB Atlas do that Steampipe cannot?
Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

Answered from the vendors’ own pages

MongoDB Atlas: How much does MongoDB Atlas cost?

MongoDB Atlas offers a free M0 tier with 512 MB storage, Flex tier at approximately 8-30 USD/month with pay-per-hour billing, shared clusters at 9-25 USD/month, and dedicated clusters from 56.94 USD/month. Add-on services like MongoDB Search cost 0.12-3.27 USD/hour.

Source
Steampipe: 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.

MongoDB Atlas: Is there a free tier?

Yes, MongoDB Atlas M0 free tier offers 512 MB storage with shared resources, suitable for learning and exploration. Flex tier allows pay-as-you-go usage starting at 0.011 USD/hour.

Source
Steampipe: 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.

MongoDB Atlas: What are the data transfer limits?

Inbound data transfer is typically free; egress from dedicated clusters costs 0.12 USD/GB. Free and Flex tiers do not incur data transfer charges.

Source
Steampipe: 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.

MongoDB Atlas: What backup options are available?

M0 free tier and Flex tier do not include backups. Dedicated clusters M10 and above include backup services with region and snapshot storage-based pricing.

Source
Steampipe: 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.

Steampipe: 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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