definiteapp

Every team that decides analytics has to run inside their own boundary asks the same question, and it is not philosophical. It is a mapping question: we run Snowflake, Fivetran, dbt, Airflow, and Looker today. If we replace all of that with one platform w

MotherDuck publishes its prices to the cent and even walks through worked billing examples in its docs. That is ahead of most data vendors on transparency. But published rates and predictable bills are different things. The bill depends on mechanics the p

Snowflake is a good database. This guide exists because for a lot of teams it's also the wrong bill. If you've done the optimization pass already (right-sized warehouses, tightened auto-suspend, killed the zombie tables) and the invoice keeps growing anyw

Every vendor page in this category says the same two words: HIPAA compliant. Some say HIPAA certified, which is impressive, because no such certification exists. If you're evaluating analytics tools for data that includes PHI, the marketing pages won't an

Databricks is a genuinely great product. If you have petabytes of data, a data platform team, and real machine learning workloads, it might be the best product on the market. Most teams evaluating it have none of those things. The typical mid-market compa

Teams searching for Cloudera alternatives usually want to keep one thing and lose another. Keep: a serious data platform running inside their own environment. Lose: the Hadoop estate required to operate it. That trade did not exist for most of the 2010s.

Your engagement dashboard looks healthy. DAU is up, feature adoption is at 40%, retention curves are holding. Then the CEO asks the question you can't answer: "Which of these features actually drives revenue?" You open Amplitude. You can see who used what

Metabase is usually the right first BI tool. It's free to self-host, setup takes an afternoon, and the query builder is good enough that non-technical people actually use it. We recommend it more often than you'd expect, given that we compete with it. But

Every account in your book of business has a health score. Most of them are green. Then three customers churn in the same month and every one of them was green the week before they cancelled. You pull up their history: support tickets were fine, logins lo

Your team wired an AI agent to Metabase - or turned on Metabot - expecting it to close the gap between "we have dashboards" and "anyone can get answers." It worked, partially. The AI answered questions faster. It wrote SQL you didn't have to debug. It sum