bipp vs Tableau
Don’t get stuck with an expensive, legacy BI platform - plan for your data future with bipp
Why is bipp a compelling Tableau alternative?
Both bipp and Tableau perform the core BI functions you’d expect. However, bipp is built with a modern approach to software design instead of Tableau’s legacy architecture model. bipp was created with the end-user in mind to reduce complexity, encourage creativity, and improve how a BI tool can interact with databases.
Tableau is undoubtedly a leader and has gained fame for its visual-based exploration experience. But this comes at a significant price. In an age where data-based decision making is accelerating business by putting powerful BI tools in everyone’s hands, Tableau’s cost structure means it really can only be used by the largest companies.
bipp wants to help all businesses seamlessly derive insights from data to make informed decisions. And this means setting a price point that works for all companies. And we believe it’s always healthy to consider options.
If you want to upgrade your BI approach, here are four reasons why bipp is a compelling Tableau alternative:
bipp’s in-database analytics means there are no slow-moving cubes or redundant data extracts, so non-technical users can make real-time decisions based on the latest data instead of waiting days for outdated dashboards. Using ad-hoc reporting, users can explore billions of records in seconds, and get granular, row-level answers. bipp’s data extraction is fast as each time a query is executed, the back-end table is used to fetch the data. However, with Tableau, live connections will slow down if a table has lots of data.
Similarly, each time a Tableau user drags and drops metrics such as KPIs, it will load the data. This creates unnecessary overhead, which slows performance, especially when dealing with a large dataset. bipp is faster as it will first select all the required KPI’s and then fetch the data.
The most significant difference between bipp and Tableau is our auto-generated bippLang data model. This data dictionary acts as an enterprise-wide single source of truth and is reused by business users through drag-and-drop charts and dashboards. It maintains business logic for the company and can easily be updated by the technical team as required. This makes it easy to expand core dashboard infrastructure around the country or the world but maintains a necessary degree of control and centralized management.
While Tableau has recently introduced a data model, amendments require a lot of to and fro between technical teams and business users. This slows down decision-making and makes it harder to scale your BI infrastructure.
Clients should never need to move data to gain insight from it. Ideally, a BI platform should support on-prem, cloud, and migration from one to the other. Bipp was designed from day one to be cloud-agnostic and offers a choice of deployment options. This future-proof, multi-cloud approach means you aren’t locked into a provider and can change without impacting your users.
Tableau, by comparison, doesn't have a cloud-native architecture, and its roots are in on-premise deployment. Tableau’s server reliance means its customers don’t natively receive benefits such as reduced hardware-related BI costs, the ability to scale quickly, and access via web browsers.
bipp believes enterprise-level business intelligence should not come at enterprise prices. bipp’s pricing model starts at $10 per user per month, offering enterprise functionality from the beginning.
Tableau’s pricing, by comparison, starts at $70 per user per month for the most basic version. Our always free trial can help you, and your team start their BI vendor comparison today. In contrast, Tableau makes it challenging to connect to data sources and have them available for other users to explore about needing to reconnect with credentials.