BI tools and databases have many problems, but one weakness they share is a reliance on centralized servers to execute application functions and queries. This is fine for just a few users, but when the user count grows, the server bogs down. Servers must avoid performing lengthy queries on behalf of users, because that will deprive other users of computing cycles. Many BI tools impose restrictions, for example, on rebuilding cubes, relying instead on offline or semi-offline processing.

Provisioning for a new client is also difficult for vendors selling classic SaaS solutions where the server is heavily involved in processing. Each client must be provisioned onto a new server, the server appropriately sized (and priced) for the expected load, and so forth. This can delay implementation, and also represents a significant cost for the vendor. If the vendor attempts to serve multiple clients from the same server hardware, questions about data security inevitably arise, since the breach of one client could mean a breach of many.

Solutions do exist for on-the-fly provisioning of new servers to take up instantaneous load, but these are not only expensive and complex, but are usually beyond the technical capability of the average vendor. Usage limits on the order of 30-40 users are therefore customary.

Spendata has none of these problems, because there is no reliance on a server for computation or queries. The server is not involved at all, and no data flows from the user's PC to the server. Since all computation is local, Spendata scales to an infinite number of local machines. This also means that Spendata is GDPR and HIPAA compliant by design, and that Spendata brings with it zero data sovereignty issues.