Onam vs Cyera
If Cyera is on your DSPM shortlist with Onam, the two make a different first choice: Cyera, in its own words below, classifies the data itself; Onam builds the data question into the same graph as the rest of your cloud risk. These questions show which one fits.
How to read this page. Everything said about Cyera here is a quotation from their own public pages, with the address and the date we read it. We do not say what anyone else’s product cannot do — products change monthly, and second-hand assertions age into lies. Then six questions, answered for Onam only, and plainly where we are not the right choice. Ask Cyera the same six.
Cyera, in their own words
Quoted verbatim from their public pages. If a page has changed, the quote is out of date, not invented — tell us and we will update it.
“One unified platform to discover sensitive and proprietary data, govern human and AI access, and stop AI-driven risk in real time.”
“Rapid agentless discovery and AI-native classification link sensitive and proprietary data with identities, access paths, and organizational context, enabling precise control of human and AI permissions and prioritization of real risk.”
Source: cyera.com/platform, accessed 5 October 2026.
“Uncover sensitive data across structured and unstructured sources, including what’s unique to your business. Cyera uses an AI-native classifier that adapts to your environment and classifies data automatically, with zero tuning.”
“Take consistent actions on data that you trust over cloud, SaaS, DBaaS, and on-prem data stores.”
Source: cyera.com/platform/dspm, accessed 5 October 2026.
The six questions
Our answers. Put the same list in front of Cyera.
- 1
How is data classified — by reading contents, or from metadata?
From metadata: resource names, descriptions, tags, database and schema names, and configuration. Onam does not read the contents of files or rows to classify them. Because labels come from names and tags, the reason for a label is readable in the store's own name, and a wrong or missing label is corrected with a tag.
- 2
Which data stores are covered?
Cloud data services across the clouds Onam scans: S3, RDS, Aurora, DynamoDB, Redshift and more on AWS; Blob Storage, Azure SQL, Cosmos DB and Data Lake Storage on Azure; GCS, BigQuery, Firestore and Spanner on GCP; the equivalents on OCI, Alibaba Cloud and IBM Cloud; Kubernetes secrets; plus self-hosted databases and Snowflake once onboarded.
- 3
Who can actually reach the data — and by which path?
Each store shows the grants that make it public, the other accounts its policy lets in, the principals seen accessing it in the last 30 days, and the attack paths that end at it. A bucket that is encrypted at rest but publicly reachable is still treated as exposed. Per-identity effective permissions are answered in CIEM, on the same graph.
- 4
Does it follow data after it lands?
Yes, as far as the cloud's resource relationships describe it. Replication, backup, ETL, streaming and export hops are linked into chains from the original source, and every hop that crosses a region or an account is flagged.
- 5
Is a data finding connected to the rest of your cloud risk?
It sits on the same graph as posture, identity and attack paths. A sensitive store becomes the crown jewel at the end of an attack path, so the question changes from "is this bucket risky" to "which chain of findings reaches it".
- 6
What leaves your environment to make this work?
Metadata read through cloud APIs. Because classification does not read contents, the files and rows themselves are not copied out to be classified.
Where we are not the right choice
A comparison page that hides its own limits is marketing, not evaluation. Weigh this one.
The honest gap
The honest gap: Onam classifies from metadata and does not read contents. Cyera describes AI-native classification of structured and unstructured data across cloud, SaaS, DBaaS and on-premises stores. If you need to know what is actually inside the files — or you need on-premises coverage — that is Cyera's design and not ours. Our case is data exposure joined to identity, network and attack paths on one graph.
Do not take our word for any of it
Run a scan against one account and tell us whether the attack paths we surface are real. If they are noise, we want to hear that — it is more useful to us than a signature. That is the same offer we make to everyone, and it is the only claim on this page you can check yourself today.
Other comparisons
Building a shortlist instead? Wiz alternatives in 2026 and the best CSPM tools in 2026, every vendor in its own published words.
Last reviewed 5 October 2026. Onam’s figures come from our published fact set. Quotations are from Cyera's own pages on the dates shown. If anything here is wrong or out of date — including anything about Cyera — tell us at hello@onamsecurity.com and we will correct it.