Software Alternatives & Startups

AWS Lambda VS Onam Security

Compare AWS Lambda VS Onam Security and see what are their differences

AWS Lambda

Automatic, event-driven compute service

Rating
0 reviews
Pricing
Open source
Onam Security

Unified CNAPP platform: CSPM, CIEM, DSPM, CWPP, SSPM, agentless workload scanning, attack paths, threat detection & compliance across AWS, Azure, GCP, OCI, Alibaba, IBM, Kubernetes and SaaS. 100% agentless.

Rating
0 reviews
Pricing
$24 / Monthly (1 resource)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, AWS Lambda seems to be more popular. It has been mentioned 297 times since March 2021.

social mentions
297 vs 0
Cloud Computing popularity
100% vs 0%
alternatives listed
240+ vs 16

Base details

Website, pricing, platforms and company facts side by side.

AWS Lambda
Onam Security
Website aws.amazon.com onamsecurity.com
Pricing
Open source
$24 / Monthly (1 resource) Official pricing
Company — Startup from India · 1 - 9 employees · 2022
Listed in

About AWS Lambda and Onam Security

In their own words, as submitted to SaaSHub.

AWS Lambda
Onam Security

No description of AWS Lambda yet.

Onam Security is a unified cloud security platform — CSPM, CNAPP and SSPM on a single security graph instead of six stitched-together products. One deployment covers posture management, attack-path analysis, identity and entitlements (CIEM), data security posture, container and Kubernetes...

Read more about Onam Security

Features and specs

What each product offers, as listed by its team.

AWS Lambda 6 features
Onam Security 14 features
  • Scalability
    AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
  • Cost-effectiveness
    You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
  • Reduced Operations Overhead
    AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
  • Flexibility
    Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
  • Integration with Other AWS Services
    Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
  • Automatic Scaling and Load Balancing
    Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages

  • Cold Start Latency
    The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
  • Resource Limits
    Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
  • Vendor Lock-in
    Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
  • Complexity of Debugging
    Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
  • Cold Start Issues with VPC
    When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
  • Limited Execution Control
    AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.
  • Posture rules
    11,346 rule definitions across 7 clouds
  • Cloud providers
    7-- AWS, Azure, GCP, OCI, Alibaba Cloud, IBM Cloud, Kubernetes
  • Cloud services covered
    549
  • SaaS platforms (SSPM)
    8 — Microsoft 365, SharePoint, Google Workspace, GitHub, GitLab, Snowflake, Dynamics 365, Okta
  • CIS SaaS Benchmark rules
    433 across six SaaS benchmarks
  • Compliance frameworks
    78, mapped to a single control set
  • Deployment
    Agentless — read-only cloud credentials, no sidecars or per-module agents
  • Attack Path Visualization
    MITRE ATT&CK-mapped paths with hops-to-breach and blast radius
  • Identity security (CIEM)
    Overprivileged identities, admins without MFA, wildcard policy detection
  • Data security (DSPM)
    PII discovery, public buckets, unencrypted and cross-region stores
  • Container & Kubernetes
    1,508 container/K8s rules — image CVEs, RBAC violations, privileged pods
  • Cloud detection & response
    Runtime detection on the same graph as posture
  • Risk quantification
    FAIR-model annual loss expectancy, in dollars
  • Optional host agent
    Opt-in onam-agent for OS package-level vuln depth (Linux, macOS, Windows)

Analysis

An editorial look at what each product does well and who it suits.

AWS Lambda
Onam Security

Overall verdict

  • AWS Lambda is a strong choice for developers looking for scalable, event-driven applications with minimal management overhead. It is particularly beneficial for applications that experience intermittent traffic or unpredictable workloads.

Why this product is good

  • AWS Lambda is a popular serverless computing service because it allows users to run code without provisioning or managing servers. It automatically scales applications by running code in response to triggers such as HTTP requests, changes in data, or system events. This can significantly reduce operational overhead and costs, as you only pay for the compute time you consume.

Recommended for

  • Developers building microservices or serverless applications.
  • Companies looking to reduce infrastructure management.
  • Startups wanting to quickly deploy applications with limited operational costs.
  • Organizations needing to integrate with other AWS services for a comprehensive solution.
  • Projects with unpredictable or variable workloads that require automatic scaling.

No analysis of Onam Security yet.

Videos

Walkthroughs and reviews on video.

AWS Lambda 3 videos + Add
Onam Security 5 videos + Add

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos

  • - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

SaaS Security Posture Management: Why Your CSPM Stops at the Cloud Account

More videos

  • - Agentless Cloud Security: Why Rollout Time Is Exposure Time
  • - Cloud Security Prioritization: Built to Find, Not to Decide
  • - Cloud Security Prioritisation: Which Finding Do You Fix First?
  • - Cloud Attack Path Remediation: Fix the Link, Not the Finding

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
AWS Lambda
Onam Security
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing AWS Lambda and Onam Security.

What makes your product unique?

Onam Security's answer:

One security graph, not a suite. Most "unified" platforms are acquisitions stitched behind a single login — separate data models, separate consoles, findings that never meet. Onam was built from one inventory and one rule model, so connecting a single cloud account activates every capability at once: posture, attack paths, identity, data, containers, SaaS and detection. That design produces things a stitched suite structurally cannot. SaaS posture sits on the same graph as cloud posture, so a Google Workspace admin without MFA and an over-permissive IAM role can be scored as hops on one attack path. And coverage goes deep where others go wide — 11,346 posture rules across 549 services on seven clouds, including OCI, Alibaba Cloud and IBM Cloud, which most competitors treat as a checkbox.

Why should a person choose your product over its competitors?

Onam Security's answer:

Three reasons. First, consolidation that is real: one agentless connection replaces six tools and five dashboards, and there is nothing to install — read-only credentials, no sidecars, no daemons on your nodes. Second, prioritisation you can act on. Attack-path analysis cuts thousands of findings to the handful an attacker could actually chain, each mapped to MITRE ATT&CK with hops-to-breach and blast radius, and risk is expressed in dollars via the FAIR model rather than another severity label. Third, breadth without shallowness: 78 compliance frameworks from a single control set, 7 clouds and 8 SaaS platforms on one graph, and rules defined in versioned YAML rather than hardcoded — so coverage is auditable and extensible instead of a marketing number.

How would you describe the primary audience of your product?

Onam Security's answer:

Small and mid-sized security teams carrying enterprise-sized cloud estates. The typical user is a cloud security engineer, security architect or head of security at an organisation running two or more clouds plus a heavy SaaS footprint, responsible for thousands of assets with a team of two to twenty people. They are the teams for whom the six-product approach never worked — not because they could not buy the tools, but because nobody had the headcount to wire them together and triage five queues. Compliance leads are a strong secondary audience, particularly at organisations under multiple overlapping regimes that need one control set to answer to all of them.

What's the story behind your product?

Onam Security's answer:

Onam was built by people who have run incident response, threat hunts and cloud architecture reviews — not by a marketing team that later hired security. The frustration that started it was specific: paying for six products, wiring five dashboards, and still missing the finding that mattered. The conclusion was that fragmentation is not a UI problem to be solved with another dashboard; it is a data-model problem. Findings cannot be correlated if each product holds its own inventory in its own schema. So Onam started at the other end — one inventory, one rule model, one graph — and built the capabilities on top of that rather than bolting them together afterwards.

Which are the primary technologies used for building your product?

Onam Security's answer:

Python and FastAPI power the backend, with a single backend-for-frontend gateway exposing roughly 166 endpoints across 60 routers, plus Pydantic for validation and SQLAlchemy over PostgreSQL for the inventory and findings data model. Attack-path analysis runs on a Neo4j property graph, per tenant, with roughly 25 catalog-driven edge derivers. All 11,346 posture rules are defined in human-readable YAML and versioned in a catalog — the platform loads and evaluates rules, never hardcodes them. Cloud collection uses provider SDKs and read-only APIs: the AWS SDK, Azure Management API, GCP Cloud Asset API and equivalents. The console is TypeScript, React and Next.js with Tailwind CSS. The platform runs as multi-tenant SaaS.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

AWS Lambda no reviews yet
Onam Security no reviews yet

We have no reviews of Onam Security yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

AWS Lambda 297 mentions
Onam Security 0 mentions

View more

Tracking Onam Security since Aug 2026.

Alternatives to AWS Lambda and Onam Security

When comparing AWS Lambda and Onam Security, you can also consider the following products.