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Government · head to head

DataSF vs Falco

DataSF logo

DataSF

Government

San Francisco Open Data Portal

From
Free
Free plan
Yes
Full reviewWebsite
Falco logo

Falco

Cybersecurity

CNCF-graduated runtime threat detection for Linux and Kubernetes using eBPF

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • They diverge on capability: DataSF covers Open Datasets, Falco covers eBPF kernel instrumentation.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataSF and Falco actually diverge.

Attributes where DataSF and Falco differ
AttributeDataSFFalco
Pricing modelfreeOpen source, no licence fee
PlatformsWebLinux, Kubernetes, Self-hosted
CategoryGovernmentCybersecurity
Founded2009Unknown

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 DataSF

  • Open Datasets
  • Data API
  • Visualizations
  • Data Catalog
  • Automated Updates
  • Socrata
  • ArcGIS
  • Analysis Tools

Only in Falco

  • eBPF kernel instrumentation
  • System call rules engine
  • Container and Kubernetes context
  • Default rule set
  • Falcosidekick
  • Falco Talon
  • Plugins framework
  • DaemonSet deployment

What people use each for

The jobs each tool is most often brought in to do.

DataSF

  • Citizen Servicesnot Falco
  • Records Managementnot Falco
  • Public Safetynot Falco
  • Civic Engagementnot Falco

Falco

  • A platform team that needs to know when a shell is opened inside a production container, which image scanning cannot detect because it happens at runtimenot DataSF
  • A regulated business required to evidence host and container intrusion detection on Kubernetes nodes for an auditnot DataSF
  • A security team wanting a vendor-neutral detection layer whose rules they can read and modify rather than a black-box agentnot DataSF
  • A cluster where a compromised dependency might write to sensitive paths or open unexpected outbound connections, and only kernel-level visibility will catch itnot DataSF

Where each one falls short

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

DataSF

Nothing recorded yet. See the DataSF review.

Falco

  • Falco detects and alerts but does not block; stopping an attack requires wiring up Falco Talon or your own response tooling, so out of the box a confirmed detection still means a human intervening after the fact.
  • The default rule set is noisy in real clusters and generates a large volume of benign matches from normal operational activity; without weeks of tuning, alert fatigue sets in and the team stops reading the feed, which is the usual failure mode.
  • There is no storage, console, search or case management in the project, so a working detection capability means also running Falcosidekick, an event store, a dashboard and alert routing, all of which you build, host and maintain.
  • The modern eBPF driver requires kernel 5.8 or later; older hosts fall back to the legacy probe or the kernel module, which brings driver-building against kernel headers and the operational fragility that comes with it on every kernel upgrade.
  • Per-node syscall instrumentation carries measurable CPU overhead on busy hosts, and the cost scales with syscall volume rather than with cluster size, so the noisiest and most performance-sensitive workloads are exactly the ones that feel it most.

Pricing, plan by plan

DataSF

Free
  • Public AccessFree
    • Dataset Access
    • API Access
    • Visualizations

Falco

Free
  • Falco (open source)Free
    • Apache 2.0 licence, CNCF graduated project
    • eBPF and kernel module drivers
    • Full rules engine and default rule set

Which should you pick?

Choose DataSF if

  • You need open datasets.
  • You want to start without paying.
  • You also want data api.
DataSF review

Choose Falco if

  • You need ebpf kernel instrumentation.
  • You want to start without paying.
  • You work on Linux, Kubernetes, Self-hosted.
  • You also want system call rules engine.
Falco review

Questions people ask

Is DataSF or Falco better?
Neither clearly leads. DataSF starts at Free and Falco at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataSF or Falco?
DataSF starts at Free and Falco at Free.
Does DataSF or Falco run on more platforms?
DataSF runs on Web. Falco runs on Linux, Kubernetes, Self-hosted.
Can I use DataSF for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataSF best used for?
DataSF is most often used for citizen services, records management, public safety, civic engagement. Of those, citizen services and records management are not what Falco is typically brought in for.
What can DataSF do that Falco cannot?
DataSF covers Open Datasets, Data API, Visualizations, Data Catalog. Falco covers eBPF kernel instrumentation, System call rules engine, Container and Kubernetes context, Default rule set.

Answered from the vendors’ own pages

Falco: Does Falco block attacks?

No. It detects and emits events. Response requires Falco Talon or your own automation on top.

Falco: Is Falco owned by Sysdig?

Sysdig created and open sourced it, but it graduated within the CNCF in February 2024, so governance sits with the foundation rather than the vendor.

Falco: What does it cost?

The project is Apache 2.0 with no licence fee. The cost is the storage, routing, tuning and staff time needed to make its output useful.

Falco: What kernel version do I need?

Kernel 5.8 or later for the default modern eBPF driver. Older hosts need the legacy eBPF probe or the kernel module.

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