Rockset

MAY 12, 2022

Databases could just buffer, ingest and query data on a regular schedule. Moreover, analytical systems and pipelines were complementary, not mission-critical. Analytics wasn’t embedded into applications or used for day-to-day operations as it is today. Offloading complex analytics onto data applications.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

Christophe Blefari

MARCH 24, 2023

LinkedIn team decided to migrate to a lambda architecture and got 94% uplift in performance. Hex is a notebook-based analytics application. Cells are at the center of the analytics, they produce outputs than can be used later in other cells on in visualisation. How fast is DuckDB really?

Lambda Architecture 130

Lambda Architecture Data Pipeline Data SQL 130

Cloudera

NOVEMBER 2, 2020

Data processing and analytics drive their entire business. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. Optimized for point lookups, analytics, mutations, etc. Data Model.

Data Warehouse 96

Data Warehouse Kafka Lambda Architecture Telecommunication 96