Cloud Data Warehouse Benchmark 2023

As cloud data warehouse providers race to improve the scalability, performance and cost-effectiveness of their solutions, it is often difficult to keep track of these improvements due to a lack of side-by-side comparisons.

Read this white paper to see the results of an extensive internal benchmarking and comparing some of the most common managed/serverless cloud warehousing solutions on the market.

Get the white paper to learn how Databricks, Snowflake, Redshift, Synapse and BigQuery fare and scale in terms of

  • query performance,
  • cost per performance,
  • differentiating feature value.

Thank you, download your white paper below!


Enterprise-Scale AWS Cloud Migration

Our client, a Fortune 50 energy company needed to migrate all their existing data and analytics platforms to Amazon Web Services and redesign the existing architecture to leverage AWS-native technologies. This was an initiative to optimize performance and reduce long-term operation costs by taking advantage of recent advancements with AWS cloud-native solutions.

AWS Cloud Migration

A proven framework for flexible and effective enterprise-scale migration, supported by customizable proprietary automation tools to enable clients to quickly realize the benefits of the cloud and fully leverage AWS-native solutions and services to achieve operational efficiency and competitive advantage.

Azure Data Lake

We design and implement data lakes to analyze data in distinct ways, gain insights and create value out of the data your organization generates and imports. Our standard BI Data lake solution implemented on Microsoft Azure platform is based on Lambda Architecture providing flexibility to process either structured data coming from traditional SQL databases or semi/non-structured data ingested from IoT devices, logs, documents.

Data Marketplace Architecture

A leading investment management firm improved the performance of its data marketplace with a new architecture leveraging Snowflake and dbt.