How Much Does White Label and OEM Embedded Analytics Dashboards Cost?

At 5000fish, we work with many partners that are researching white label and OEM embedded analytics and dashboards as they decide whether to build or buy a reporting solution. Logically, the primary question these companies ask is, “How much does it cost?”

Because we like to be very transparent about pricing and costs, we wanted to break down the cost of white label and OEM embedded dashboards. We have identified several pricing models within the market for white label and OEM embedded dashboards based upon feedback we have received from customers and research we’ve done.

White Label and OEM Embedded Dashboards Pricing Models

Below you will find the three primary pricing models that BI vendors offer for white label and OEM solutions:

• The user-based pricing model. Most vendors we’ve encountered that offer white label or OEM embedded dashboards have a pricing model that requires companies to pay on a per-user basis. This pricing structure is often a poor choice for partners long-term because when the company experiences user growth, that growth may price the partner out of the business intelligence (BI) solution. The user-based model often becomes a trap that works well when the user base is small, but then becomes an issue as the company grows. With user-based models, it’s important for companies to understand the types of users they have. The users may be viewers or they may be power users, which are very different both in user needs and in user quantity. Companies may receive ludicrous pricing quotes because they have thousands of viewer users and only a handful of power users. The two user types should really be priced differently, though some companies group them into the same “user” bucket. Ultimately, companies that are searching for a white label or OEM solution should avoid BI vendors that charge them per user because they will be penalized as they grow.
• The data-source pricing model. In the white label and OEM embedded dashboards space, we see a lot of SaaS BI vendors structuring pricing on a per data-source model. This means that companies with one data-source will likely find white label or OEM solutions affordable. However, most companies we encounter have multiple databases, and sometimes have multiple databases per customer.For these companies, having multiple databases is a huge disadvantage and they are penalized for their architecture because BI vendors that have a data source pricing model will charge the company for every database it has, either in total for the organization or per customer.
• The on-premise penalty pricing. Many partners we encounter have an on-premise or hybrid model where either all or part of their solutions are physically located at their customers’ locations, versus being web-based. For these partners, SaaS vendors are typically not viable because they don’t have an on-premise component. Vendors that do offer an on-premise component often charge partners per on-premise component, which becomes very expensive, very fast. 

Click here to download “Top 5 Challenges of Embedded Reporting”

Additional Pricing Information We’ve Gathered

Through our discussions with partners and customers, we’ve gathered additional information regarding the specific costs of white label and OEM solutions. Below you will find pricing information customers have given us for specific BI vendors:

{NOTE:  We have no direct knowledge of any of the pricing described below, primarily because other vendors keep it so secretive.  So take the info below with a grain of salt as what we’ve learned over years in this industry.  When pricing is secretive, that also means pricing is variable based on what the salesperson thinks they can get at the moment.  As we learn more we’ll update the info below and feel free to leave a comment with your experience.}

• Sisense: Sisense has both on-premise and cloud white label and OEM options. Through customer conversations, we have learned that Sisense costs roughly $225 per user for 80 users ($18,000 per year) {Update: Oct 16 we had a partner tell us 3 builder and 100 user were quoted at $50,000}.  This price per user probably goes up and down based on the number of users you have, so Sisense falls into what we categorize as expensive.
• Burst: Burst was recently acquired by ZenDesk and has shifted its priorities to landing larger deals. A startup customer recently informed us that Burst costs a minimum of $75,000 for white label or OEM dashboards.
• DOMO: Most of the partners we speak to exclude DOMO immediately from their white label or OEM dashboard partners list because of its high cost. DOMO’s smallest, regular BI package without security options is $36,000 per year, which indicates that its white label and OEM dashboard solutions are likely very costly.  Six-figure pricing is not unlikely with DOMO implementations.
• LogiAnalytics: Logi Analytics is one of the few BI vendors that does a per-server fee.  We’ve heard recently that the pricing starts at $36,000 per year.  That may increase by server capacity or it could be a fixed rate they offer.
• GoodData: The primary feedback we receive about Good Data’s pricing is that it charges per schema and per amount of cloud storage, which means if you are an organization with multiple schemas and large cloud storage needs, Good Data will become very pricey.
• Yellowfin: In the past, Yellowfin’s pricing was pretty affordable. However, over the past year, we’ve heard customer complaints about Yellowfin’s dramatic pricing increases since its recent influx of VC funding and success with companies like BMC, which will go into effect in October of this year (we heard as much as a 400% increase over previous partner pricing).
• Qlikview: Qlikview is another vendor with an on-premise solution. We have been told repeatedly that Qlikview is challenging to negotiate with and have heard that Qlikview charges $5,000 per customer on-premise deployment.
• Tableau: For on-premise OEM and white label solutions, we’ve heard that Tableau typically sticks with its end-user pricing of $1,000 per user, which is very expensive if an organization has many users and on-premise deployments.  The other common feedback we get is how rigid and non-negotiable their terms and salespeople are.  We once had a major telecom provider tell us they were looking at options due to the inflexibility to negotiate terms with Tableau.
• Microsoft Power BI: Microsoft Power BI has created a ton of buzz in the industry over the past few years, and Microsoft recently released a web-based OEM dashboards version of Power BI called Power BI Embedded. Initially, Microsoft’s pricing was very different from anything we’ve seen because Microsoft charged per view of the dashboard, which can become pretty expensive if a partner has heavy use. This means partners were penalized for heavy use of dashboards. Based on feedback, Microsoft flipped its model and changed its pricing so that partners pay more for users that have low usage. However, it is still charging per view of the dashboard.
• Datapine: We haven’t heard a lot about this company,  but one partner did mentioned a cost of $30,000 for a 100 per environment.  Most OEMs we talk to have in the 1000s of users, so definitely not a good fit for small or large user bases (unless you have deep pockets).

Click here to download “Top 5 Challenges of Embedded Reporting”

Our Approach for OEM White Label Partners

Based upon all of the feedback we’ve gathered, the starting cost for a full-stack white label or OEM embedded analytic solution starts at around $40,000 per year (even for companies that have a lower price, they tend to set minimums to be considered an OEM partner). For most of the partners with whom we speak, this is too high.

While recognizing all of the challenges partners have, including figuring out the pricing model that fits their needs and researching pricing within the white label and OEM dashboard market, we decided to come up with a pricing model that is customizable and affordable.

The first thing partners should know is that our model provides unlimited database connectors, which is achieved through the power of our Yurbi App concept. Then on top of that, our model provides the dynamic security via our App Shield feature to provide multi-tenant security even in the most complex environments.

The second thing customers should know is that our pricing model is a tiered, per-user model.   Our smallest tier is for OEM partners that have under 100 total users.  Subsequent tiers go from 101 – 250, 251 – 1000,  1001 – 2500, 2501 – 10,000 and up.   If you have over 50,000 users we cap you at our top tier.

We created this pricing structure because partners need pricing that they can budget and plan for, and ultimately variable pricing doesn’t meet their needs. Our pricing is tiered into large user buckets and it’s at a fixed cost per year. Additionally, our average price per user decreases as user numbers increase, which means that Yurbi’s pricing structure will grow with your company so you don’t feel trapped into a rip and replace scenario once you have a large number of users.

Recently, we added another component to our pricing that differentiates user types between power users and viewers. For many of our partners, much of their user base is made up of viewers. In our old model, we used to treat all of our users the same. However, we found that our partners wanted user pricing to reflect whether the users were viewers versus power users, which is why we made the change.

Another part of our white label and OEM dashboard pricing is our launch package. White label and OEM solutions take time to build and develop. Most white label and OEM dashboard vendors charge partners the same price during this ramp-up period. We decided to take a different approach that allows partners to develop their white label or OEM solution without charging them the full user-tiered amount. The launch package is a month to month version of our pricing and it gives partners access to their power user licenses and concurrent license for testing and development purposes. This allows our partners to start small, integrate the product completely to their own solutions, and then deploy the white label or OEM embedded solution by upgrading to the appropriate user tier or number of concurrent users.

The final piece to our white label and OEM embedded analytics pricing is our on-premise pricing component. Our on-premise pricing allows you to count all your users across deployments as an aggregate,  so you can take advantage of the tiering above,  and we have a small on-premise platform fee for each install.

Here’s the best thing,  we look for a win/win with our partners.  So based on the uniqueness of your situation,  we can work out a price and a solution where your users can take advantage of the power of Yurbi that makes sense for you and us.  Actually, the best thing may be that all our pricing (even our launch package) include our Customer Success team,  so you have a partner who is with you every step of the way.

The Bottom Line

White label and OEM dashboard pricing is variable and it seems as though every vendor is making up it’s own pricing, while keeping it under wraps. Partners searching for a white label or OEM solution must find a vendor that fits their unique architecture and use cases, and that will provide relatively non-variable pricing so that they can plan ahead for growth.  And while cost is important, it’s not everything to consider when selecting a vendor, we talked about a few of the other important factors here.

At 5000fish, we have worked to structure our white label and OEM pricing to meet our partners’ individual needs and requirements affordably and transparently, while continuously taking in their feedback to ensure that our product meets all of their white label and OEM dashboard needs.

If you want to learn more about our white label or OEM dashboard pricing, please contact us and we would be happy to chat with you.

Click here to download “Top 5 Challenges of Embedded Reporting”