Number of Seats/Users: Knowi offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows Knowi that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from Knowi. Knowi reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Knowi offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from Knowi. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Knowi often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that Knowi is especially strong for teams dealing with complex, modern data, while still keeping things approachable for business users.

From what our Spendbase clients share, a few themes stand out:

1) What Spendbase clients like most
– Fast time-to-value
– Easy to connect multiple data sources, including NoSQL, relational databases, and APIs
– Short setup time for dashboards and reports
– Flexible data blending
– Ability to join and blend different data sources in a single query
– Data cleaning and modeling tools that make datasets more usable for end users
– Reduced engineering effort
– Many clients highlight that they don’t need to hire extra data engineers
– No heavy ETL or custom code required for most analytics use cases
– Usability and learning curve
– Intuitive interface compared to more convoluted BI tools
– Generic SQL support instead of learning a proprietary query language
– Sharing and embedding
– Easy to embed dashboards and charts into applications or HTML
– Ability to send reports so stakeholders can see insights without logging in

2) Friction points our clients report
– Filtering and UX details
– Desire for more widget filtering options
– Interest in saving and sharing favorite or prebuilt filters
– Some confusing flows around dashboard and widget deletion
– Embedding and runtime parameters
– Initial learning curve for runtime query parameters and embedded dashboards
– Embedding architecture (cookies, repository management) still feels a bit clunky for some teams
– Performance and workflow
– Waiting for each query to run to retrieve fields for cross-source joins can slow down workflow

3) Overall sentiment from Spendbase clients
– Strong satisfaction with:
– NoSQL handling
– Data source flexibility
– Support responsiveness and professionalism
– Clients see Knowi as:
– A pragmatic, functionality-first BI platform
– A good fit for organizations wanting powerful analytics without building a large data engineering function

In short, our internal data shows that Knowi works best for teams that value flexible data integration and fast deployment, and are okay with a few rough edges in documentation and UX while the product continues to evolve.