Data Integration. Integration is needed when your organization collects large amounts of data in various systems such as databases, CRM systems, application servers, and so on. Accessing and analyzing data that is spread across multiple systems can be a challenge. To address this challenge, data integration can be used to create a unified view of y... See more

Rill is the fastest path from data lake to dashboard.

Unlike most BI tools, Rill comes with its own embedded in-memory database. Data and compute are co-located, and queries return in milliseconds.

So you can pivot, slice, and drill-down into your data instantly.

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Today, databases are basically siloed — every application has its own. This has many bad implications: redundant infrastructure, honeypots of data with poor security, fragmented data. It also means that every application must have its own database to feed its logic and its interface. The 3 layers — interface, logic, and database — have to be bundle... See more

Much as Plaid relies on connectivity to banks for bank data, payroll APIs rely on connectivity to the underlying payroll systems. One interesting dynamic will be how platform accessibility plays out. Banks have a love-hate relationship with Plaid, in that they’re often reluctant to allow consumers to access their data via third parties. That retice... See more