Developer Tools · head to head
Steampipe vs Typesense

Steampipe
Developer Tools
Query cloud APIs, SaaS tools and code with SQL, with no extract or load step
- From
- Free
- Rated
- -

Typesense
Databases
Open-source typo-tolerant search engine as an Algolia alternative
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; Typesense holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
- They diverge on capability: Steampipe covers SQL over live APIs, Typesense covers In-memory index.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Steampipe and Typesense actually diverge.
| Attribute | Steampipe | Typesense |
|---|---|---|
| Pricing model | Open source, with paid hosting through Turbot Pipes | Open source, no licence fee; managed cloud billed separately |
| Platforms | macOS, Linux, Windows, Docker, Web | Linux, macOS, Docker, Self-hosted |
| Category | Developer Tools | Databases |
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 Steampipe
- SQL over live APIs
- Wide plugin set
- Embedded Postgres
- Compliance benchmarks
- Joins across providers
- Hosted option
Only in Typesense
- In-memory index
- Typo tolerance
- Faceting and filtering
- Vector search
What people use each for
The jobs each tool is most often brought in to do.
Steampipe
- Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Typesense
- Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Typesense
- Inventory and drift questions spanning several cloud providers in one querynot Typesense
- Engineers who would rather write SQL than learn each provider command line toolnot Typesense
Typesense
- Replacing Algolia when per-search pricing outgrows the valuenot Steampipe
- Instant search over a product catalogue or documentation sitenot Steampipe
- Hybrid keyword and vector search without running two systemsnot Steampipe
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Typesense
- Holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
- Narrower than Elasticsearch by design: no log analytics or complex aggregation pipelines
- Smaller ecosystem and community than Algolia or Elasticsearch, so fewer integrations exist off the shelf
Pricing, plan by plan
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
Typesense
Free- TypesenseFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
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.
Choose Typesense if
- You need in-memory index.
- You want to start without paying.
- You work on Linux, macOS, Docker, Self-hosted.
- You also want typo tolerance.
Questions people ask
- Is Steampipe or Typesense better?
- Neither clearly leads. Steampipe starts at Free and Typesense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Steampipe or Typesense?
- Steampipe starts at Free and Typesense at Free.
- Does Steampipe or Typesense run on more platforms?
- Steampipe runs on macOS, Linux, Windows, Docker, Web. Typesense runs on Linux, macOS, Docker, Self-hosted.
- Can I use Steampipe for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Steampipe best used for?
- Steampipe is most often used for security teams answering posture questions against live cloud accounts rather than a nightly export, compliance evidence gathering where the answer must reflect the account at the moment it is asked, inventory and drift questions spanning several cloud providers in one query, engineers who would rather write sql than learn each provider command line tool. Of those, security teams answering posture questions against live cloud accounts rather than a nightly export and compliance evidence gathering where the answer must reflect the account at the moment it is asked are not what Typesense is typically brought in for.
- What can Steampipe do that Typesense cannot?
- Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks. Typesense covers In-memory index, Typo tolerance, Faceting and filtering, Vector search.
Answered from the vendors’ own pages
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.
Typesense: Is Typesense free?
The engine is open source and free to self-host. Typesense Cloud is a paid managed option.
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.
Typesense: Why choose Typesense over Algolia?
Cost and control. Algolia charges per search and per record; Typesense can be self-hosted with no per-query fee, at the cost of running it yourself.
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.
Typesense: Does Typesense support vector search?
Yes, including hybrid search combining keyword and semantic matching in one query.
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.
Related pages
Other head to heads
- Steampipe vs Atlantis
- Steampipe vs Jitsu
- Steampipe vs Frappe
- Steampipe vs Visual Studio Code
- Steampipe vs Penpot
- Steampipe vs GNU Emacs
- Steampipe vs Bazel
- Steampipe vs Eclipse IDE
- Steampipe vs Pants Build
- Steampipe vs Swagger UI
- Steampipe vs Ansible
- Steampipe vs Helix
- Steampipe vs Git
- Steampipe vs GoLand
- Steampipe vs Hookdeck
- Steampipe vs JFrog Artifactory
- Steampipe vs Namespace
- Steampipe vs Meilisearch
- Steampipe vs Elasticsearch
- Steampipe vs Marqo
- Steampipe vs OpenSearch
- Steampipe vs Apache Solr
- Steampipe vs DuckDB
- Steampipe vs Vespa
- Steampipe vs Zilliz
- Steampipe vs QuestDB
- Steampipe vs Tinybird
- Steampipe vs Presto
- Steampipe vs StarRocks
- Steampipe vs Xata
- Steampipe vs YugabyteDB
- Steampipe vs NATS
- Steampipe vs Apache Flink
- Typesense vs Atlantis
- Typesense vs Jitsu
- Typesense vs Frappe
- Typesense vs Visual Studio Code
- Typesense vs Penpot
- Typesense vs GNU Emacs
- Typesense vs Bazel
- Typesense vs Eclipse IDE
- Typesense vs Pants Build
- Typesense vs Swagger UI
- Typesense vs Ansible
- Typesense vs Helix
- Typesense vs Git
- Typesense vs GoLand
- Typesense vs Hookdeck
- Typesense vs JFrog Artifactory
- Typesense vs Namespace
- Typesense vs Meilisearch
- Typesense vs Elasticsearch
- Typesense vs Marqo
- Typesense vs OpenSearch
- Typesense vs Apache Solr
- Typesense vs DuckDB
- Typesense vs Vespa
- Typesense vs Zilliz
- Typesense vs QuestDB
- Typesense vs Tinybird
- Typesense vs Presto
- Typesense vs StarRocks
- Typesense vs Xata
- Typesense vs YugabyteDB
- Typesense vs NATS
- Typesense vs Apache Flink
