Cybersecurity · head to head
BigID vs Okteto

BigID
Cybersecurity
Data discovery and classification across cloud, on-premise and unstructured stores
- From
- On request
- Free plan
- No

Okteto
Developer Tools
Runs production-like development environments on your own Kubernetes cluster
- From
- Free
- Free plan
- Yes
The short version
- Only Okteto has a free tier, so it costs nothing to try first.
- Each has a real cost: BigID pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.; Okteto two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative.
- They diverge on capability: BigID covers Structured and unstructured scanning, Okteto covers Cluster development environments.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which BigID and Okteto actually diverge.
Identical on both: pricing model (quote), 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 BigID
- Structured and unstructured scanning
- Identity correlation
- Data security posture management
- Access intelligence
- Privacy request support
- Retention and minimisation
- AI data controls
- Policy and remediation workflow
Only in Okteto
- Cluster development environments
- File synchronisation
- Development containers
- Environment catalogue
- Preview environments
- Bring your own cloud
What people use each for
The jobs each tool is most often brought in to do.
BigID
- A bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migrationnot Okteto
- A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot Okteto
- A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot Okteto
- A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot Okteto
Okteto
- A microservices estate where no developer can run the full dependency graph on a laptopnot BigID
- Giving each pull request a working environment reviewers can click rather than describenot BigID
- Letting coding agents build and test against real databases and queues instead of mocksnot BigID
- Removing a fleet of local Kubernetes installations that drift from production and produce false test resultsnot BigID
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
BigID
- Pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.
- Scanning large unstructured estates is slow and computationally expensive, so most organisations sample rather than scan everything, which reintroduces uncertainty into the very question they bought the tool to settle.
- Classification accuracy on messy unstructured content requires tuning, and out of the box false positives on things like reference numbers create a large triage backlog that a small governance team cannot clear.
- It discovers and reports but does not remediate, so realising value requires a separate process and often separate tooling to actually delete, restrict or move the data it flags.
- It is built for large enterprises and both the price and the administrative overhead are disproportionate below a few thousand employees, where a lighter DSPM tool covers the security use case for far less.
Okteto
- Two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative.
- The Apache-2.0 CLI is restricted to the development section of the manifest, so build services, user management and observability all require the commercial platform and the open licence provides very little continuity insurance.
- The last disclosed funding round is a 15 million US dollar Series A from February 2022 with nothing announced since, and the contributor base is dominated by company employees, which is concentrated risk for something embedded in every developer daily loop.
- You must bring and pay for the Kubernetes cluster, so node cost, capacity planning and version upgrades stay with your platform team on top of the licence fee.
- The 2026 repositioning towards AI agents means the classic developer inner loop is no longer what the marketing leads with, so a buyer purchasing that use case should confirm roadmap commitment rather than assume it.
Pricing, plan by plan
BigID
On request- BigID Platform$undefined/year
- Priced by number of data sources and data volume
- Discovery and classification core
- Optional DSPM, access intelligence and AI security modules licensed separately
Okteto
Free- StarterFree
- 5 seats included
- Self-hosted deployment into your own cluster
- Community support
- Scale$undefined/year
- Contact sales, no price, currency or billing period published
- More seats and environments than Starter
- Self-hosted deployment
- Enterprise$undefined/year
- Contact sales, no price published
- Bring your own cloud deployment
- Available through Google Cloud and AWS marketplaces
Which should you pick?
Choose BigID if
- You need structured and unstructured scanning.
- You work on Web, API, Self-hosted.
- You also want identity correlation.
Choose Okteto if
- You need cluster development environments.
- You want to start without paying.
- You work on Linux, macOS, Windows, CLI, Kubernetes, Web.
- You also want file synchronisation.
Questions people ask
- Is BigID or Okteto better?
- Neither clearly leads. BigID starts at On request and Okteto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigID or Okteto?
- Okteto has a free tier; the other does not. Paid plans start at On request for BigID and Free for Okteto.
- Does BigID or Okteto run on more platforms?
- BigID runs on Web, API, Self-hosted. Okteto runs on Linux, macOS, Windows, CLI, Kubernetes, Web.
- Can I use Okteto for free?
- Yes. Okteto has a free tier, so you can try it without paying. BigID starts at On request.
- What is BigID best used for?
- BigID is most often used for a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration, a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records, a security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker does, a company building retrieval augmented ai that must exclude regulated personal data from the index it feeds to a model. Of those, a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration and a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records are not what Okteto is typically brought in for.
- What can BigID do that Okteto cannot?
- BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Okteto covers Cluster development environments, File synchronisation, Development containers, Environment catalogue.
Answered from the vendors’ own pages
BigID: What does BigID cost?
It is quoted by data source count and volume. Reported contracts run from roughly 15,000 to 175,000 US dollars a year, and add-on modules such as AI security posture are licensed on top.
Okteto: Is Okteto open source?
The CLI is Apache-2.0, but the README states it supports only the development section of the manifest. Everything operationally interesting, including builds, user management and observability, is in the commercial platform.
BigID: Does it handle unstructured data?
Yes, and that is its main advantage. It classifies data in files and shares and correlates findings back to individuals, not just to data types.
Okteto: What does it cost?
Only the free Starter tier with five seats is published. Scale and Enterprise are both contact sales, with no price, currency or billing period disclosed on the pricing page.
BigID: Will it delete the data it finds?
Not by itself in most deployments. It identifies and routes findings; deletion and remediation happen through your own processes or connected systems.
Okteto: Do I need my own Kubernetes cluster?
Yes. Okteto installs into a cluster you provide and pay for, so capacity, upgrades and node costs remain your responsibility in addition to the licence.
BigID: Is it a privacy tool or a security tool?
Both are sold from the same discovery core. Buyers increasingly come from security wanting data security posture management rather than from legal wanting privacy.
Okteto: How is this different from running Kubernetes locally?
Environments run against the same managed databases, queues and service mesh as production, so a class of failures that only appears in a real cluster is caught before merge rather than after deploy.
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