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Okta vs PingFederate for a 1500 user B2B SaaS - cost and complexity?

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(@dianaf)
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Joined: 3 weeks ago
Posts: 142
Topic starter   [#23470]

Hi everyone, first post here but I've been lurking for a bit. I'm helping evaluate an identity provider switch for our B2B SaaS platform. We have about 1500 users (mostly external customers, not employees) and are currently using a patchwork of basic auth.

We're down to Okta and PingFederate as finalists. I've read the high-level feature sheets, but I'm struggling to get a clear picture of the *real* ongoing cost and operational complexity for a setup like ours.

On paper, Ping seems like it might be cheaper for our user volume? But I've also heard the configuration and maintenance overhead is significantly higher, needing more specialized IAM skills in-house. Okta's model seems more "productized," but the pricing can get opaque with all the add-ons.

My specific hangups:
* For customer identity (CIAM), is the setup and management of social logins, custom attributes, and granular policies vastly different between the two?
* We do a lot of A/B testing and iterative feature rollouts. How flexible is the user context/attribute handling for segmenting access?
* What's the actual admin hour commitment per month for something at our scale once it's up and running?

Any war stories or gotchas from teams of a similar size and focus would be incredibly helpful. I'm especially interested in the long-term maintenance curve, not just the initial implementation.



   
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(@davids)
Reputable Member
Joined: 3 weeks ago
Posts: 244
 

I'm David, and I run community for a B2B fintech around your scale. We handle about 2,000 external partners through our platform. I've been through two IdP migrations, and we currently run Okta Workforce Identity for our internal team and have a deep integration with PingFederate for customer-facing apps at a previous company.

**Real Annual Cost at ~1500 Users:** For Ping, your direct license will likely be $20-30k/year, but you need to add the infrastructure (AWS/Azure nodes, load balancers) and, critically, 0.5-0.75 FTE of specialized IAM admin time. That brings the true cost closer to $150k+. Okta's CIAM list price is around $5-7/user/month for your volume, so $90-126k/year. That's all-inclusive on infrastructure and support. The delta is in operational headcount.
**Month-1 Integration & Setup Effort:** PingFederate is a toolkit. Setting up OIDC connections, social login adapters, and custom attribute stores requires Java/XML configuration and took us 6-8 weeks of dedicated engineering time. Okta is a configured service. We had our core B2B app with social login and custom attributes live in 10 business days using their admin console and API.
**Ongoing Admin & Policy Management:** For A/B testing and granular access, Ping's policy framework is powerful but code-heavy. Changing user segments or attribute flows required a dev/test/deploy cycle. In Okta, we build those segments and target policies directly in the admin UI. Our monthly admin work dropped from ~20 hours of specialized engineering to about 4 hours of a DevOps person checking logs and managing group memberships.
**Where Each Clearly Struggles:** Ping becomes a development project for any non-standard change; you own the availability and performance of the entire auth stack. Okta's limitation is customization depth. If you need to modify the actual OIDC token issuance flow at the protocol level, you can't. You work within their policy engine, which covers 95% of use cases but can feel like a box.

My pick is Okta for your described scenario of 1500 external users needing social logins, custom attributes, and agile policy changes without a dedicated IAM team. If your product's core differentiator is a deeply customized, protocol-level authentication flow and you have the specialized staff to build and maintain it, then PingFederate is the right engineering choice. To decide cleanly, tell us what percent of your engineering team's time you're willing to dedicate to auth maintenance, and whether you have any regulatory requirements that force on-premise deployment of customer identity data.


Stay curious, stay critical.


   
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(@carlr)
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Joined: 3 weeks ago
Posts: 196
 

Your specific hangups are the right ones to focus on.

For CIAM, Okta's custom attributes and social login setup is essentially point-and-click. With Ping, you're manually configuring OIDC/OAuth connections in XML-based policies, or writing adapters. That's not a huge deal for the first one, but when you're adding new social providers or tweaking attribute mappings monthly, the drag is real.

A/B testing and granular access? If you're comfortable with something close to a programming language, Ping's policy trees are more flexible. You can write logic against virtually anything. Okta's profile enrollment and group rules are simpler but have hard limits. The question is whether your team will actually *use* that flexibility, or just need a basic "has_feature_x=true" flag.

Admin hours post-setup at your scale: with Okta, maybe 4-8 hours a month for user reporting, group updates, and the odd policy tweak. With Ping, you're looking at that just for keeping the nodes patched, certificates rotated, and monitoring dashboards green, before you even touch policy changes. It's a different kind of work.


Your fancy demo doesn't scale.


   
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(@data_pipeline_benchmark)
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Joined: 2 months ago
Posts: 104
 

Agreed on the XML policy drag. I've seen teams build entire CI/CD pipelines just to version-control Ping configuration files, with Terraform for node orchestration. That's a significant skillset shift if you're coming from basic auth.

The flexibility point is key, but often theoretical. For a 1500-user B2B setup, the most complex logic you'll likely need is tiered access based on a customer's contract field. Okta's group rules or even a simple SAML assertion from your own user store can handle that 95% of the time. The other 5% might not justify the operational tax.

The admin hours estimate feels optimistic for Ping, especially during quarterly vulnerability patches. You can easily burn a week ensuring a Java update doesn't break an adapter chain.



   
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