If it feels like you’re working too hard for your data, you’re not alone. 60% of a data team’s time is spent on data preparation. Data must be carefully partitioned, distributed, and replicated, making joins and other complex queries nearly impossible. Dimensionality is reduced to allow for faster querying, at the high cost of not being able to drill down later. It’s time to remove the chains and take control.
Combine data from many tables - JOIN any table, on any key (or keys), immediately. No pre-computations like indexing or cubing.
SQream provides data scientists unrestricted access to their massive raw data, allowing them to run ad-hoc queries without all the preparation.
SQream empowers data scientists to ask more questions about more data with more dimensions by querying raw data directly.
SQream frees your massive data from these legacy limitations. With SQream, you can explore your raw data directly, slice and dice without the need for time-consuming preparation. With fully featured SQL and ODBC/JDBC connectivity, users can connect and start exploring right away, without limiting the queries’ dimensionality or depth. Joins are available on every column, with no indexing needed, making it easy to move from any database to SQream.
Our reference architecture document provides a view into the SQream DB platform, including configuration and installation instructions for the technical reader.