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Databricks and Snowflake: Where Things Stand Today
Snowflake and Databricks have both evolved significantly - the old "SQL vs Spark" framing doesn't tell the full story anymore. This post cuts through the noise with an honest, practical take on where each platform excels today: from deployment workflows and multi-developer setups to AI features and business-facing tooling. If you're deciding which platform to invest in, or making the most of the one you're already on, here's what actually matters.
Best Practices for Modern Bash Scripting in 2026
From safety flags and quoting rules, to cleanup traps and knowing when to switch to Python, this article covers the modern Bash scripting best practices for 2026.
Making Iceberg Work on AWS: Architecture, Automation, and Analytics
Apache Iceberg brings structure, versioning, and analytics-ready features to data lakes on AWS. By combining serverless ingestion, automated infrastructure, and flexible table formats, teams can build robust pipelines that support evolving business needs. This blog covers practical architecture choices, automation strategies, and best practices for deploying Iceberg natively on AWS.
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Contact us
About us
Our story, our DNA
Our Story
Our Impact Partners
What we offer
Our Services
Product Development
Data Platforms
Enterprise DevOps
Industry Solutions
Resources & Energy
Technology Partners
Amazon Web Services (AWS)
Databricks
Snowflake
Grafana
Fivetran
Sanity
Our work
Learn
Featured Blogs
Databricks and Snowflake: Where Things Stand Today
Snowflake and Databricks have both evolved significantly - the old "SQL vs Spark" framing doesn't tell the full story anymore. This post cuts through the noise with an honest, practical take on where each platform excels today: from deployment workflows and multi-developer setups to AI features and business-facing tooling. If you're deciding which platform to invest in, or making the most of the one you're already on, here's what actually matters.
Best Practices for Modern Bash Scripting in 2026
From safety flags and quoting rules, to cleanup traps and knowing when to switch to Python, this article covers the modern Bash scripting best practices for 2026.
Making Iceberg Work on AWS: Architecture, Automation, and Analytics
Apache Iceberg brings structure, versioning, and analytics-ready features to data lakes on AWS. By combining serverless ingestion, automated infrastructure, and flexible table formats, teams can build robust pipelines that support evolving business needs. This blog covers practical architecture choices, automation strategies, and best practices for deploying Iceberg natively on AWS.
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Building a Serverless RPC API on AWS: When is the mono lambda OK?