BI ON GOOGLE BIGQUERY
BI ON GOOGLE BIGQUERY
Best-in-class user experience and performance, at a fraction of the cost.
AtScale’s patented Hybrid Query Service™ technology is the industry’s only solution that lets any BI tool run on Google BigQuery directly, supporting platforms like SQL or MDX, and without any data extract.
AtScale integrates natively with tools such as Microsoft Excel or Tableau without requiring any client install making it one of the easiest analytics platforms. Because AtScale acts as an XMLA data provider, Excel users can create live pivot tables against virtually any data set, no matter how large, using AtScale and Google BigQuery. AtScale + Google BigQuery performance simply means immediate and untethered BI.
AtScale turns BigQuery into a scale-out OLAP server, with support for the types of complex models and business concepts that are demanded by Business Intelligence use cases. Use Excel against a shared semantic layer that represents core business concepts in a way that works for business users.
Use your favorite BI tool to run live reports and dashboards the minute data is available in BigQuery. AtScale’s universal semantic layer allows BI definitions and metrics to be used on top of BigQuery, live, with best-in-class speed, scale, and security.
With AtScale, BI users get to query the full breadth and grain of the data stored in Google BigQuery. AtScale’s multi-dimensional capabilities accommodate a wide range of calculations. Users can ask better and bigger questions, from the simplest to the most sophisticated ones.
AtScale Adaptive Cache™ analyzes query patterns in real-time to automate and optimize the creation and management of smart aggregates. This speeds up queries and reduces query loads to the underlying database. The results? Up to 100X performance improvements and 1,000X query cost reduction.
With AtScale’s unique and patented Hybrid Query Service™, any BI tool can run on BigQuery live, in real-time, without new client installs or data extracts, making it easy for any user. This also means that AtScale shared semantics can be managed centrally and accessed equally by any and all BI platforms, regardless if they speak SQL or MDX.
No need to extract data out Google BigQuery into data marts or proprietary data stores to deliver self-service BI on big data. With AtScale, users get access to big data residing in their original big data storage files. This means no added data latency and no data mart maintenance. Gone are the days where you had to wait hours for your ETL job to finish before you could give your BI users access to their big data!
AtScale delivers consistent “speed-of-thought” response times to all queries and our Adaptive Cache technology makes supporting thousands of BI consumers possible, without breaking the bank.
With AtScale, because the data accessed is the actual data residing on Google BigQuery, end-users can analyze it as soon as it lands in Google BigQuery! Say no to stale data and let your business users get access to data, live and in real-time!