Harness the power of Bouquetʼs SQL query engine.
Bouquet will help you in a number of ways.
It will dynamically generate even the most complex analytical queries in fractions of a second. Its powerful SQL query engine has proven to be fast, accurate and reliable over years of intense use on massive databases like the eBay datawarehouse (Teradata), ProQuest big data usage analytics platform (Amazon Redshift) and many others.
Check out our supported data sources to find yours, or contact us if you need a connector thatʼs not in the list below.
Amazon Redshift is a hosted data warehouse, which is part of the Amazon Web Services platform. Redshift is ideal to handle analytics workloads on large scale datasets stored by a column-oriented DBMS principle.
PostgreSQL is an object-relational database management system (ORDBMS) with an emphasis on extensibility and standards-compliance.
MySQL is an open-source relational database management system. Many of the world’s largest and fastest-growing organizations including Facebook, Google, Adobe, Alcatel Lucent and Zappos rely on MySQL to save time and money powering their high-volume Web sites, business-critical systems and packaged software.
Oracle Database is a high-performant object-relational database management system produced by Oracle.
Apache Drill is an open-source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets.
Apache Spark is an open source cluster computing framework. In contrast to Hadoop’s two-stage disk-based MapReduce paradigm, Spark’s multi-stage in-memory primitives provides performance up to 100 times faster for certain applications.
Pivotal Greenplum Database is a MPP (massively parallel processing) database built on open source PostgreSQL.
Donʼt see the data source youʼre looking for? Drop us a line at firstname.lastname@example.org