@zriyansh

What are technical challenges Datazip can solve?

Jan 9, 2025 · 5 min read · Data engineering can feel like juggling: ingesting massive datasets, ensuring data quality, managing pipelines, and controlling costs—all while delivering business insights quickly. According to recent industry reports, over 70% of organizations stru...

Connecting Your BI Tool (Metabase, Tableau, Superset, etc.) to Production Databases Is Painful—Here’s a Better Way

Jan 8, 2025 · 4 min read · This is part of blog Series “Database to Analytics Ready Data“ If you’ve ever tried connecting Metabase, Tableau, PowerBI, Superset, or Redash directly to your production database (whether it’s MongoDB, Postgres, MySQL, or any SaaS data source), you’...

Running Analytical Queries on Your SaaS Data at a Single Place

Jan 7, 2025 · 15 min read · This is part of blog Series “Database to Analytics Ready Data“ Most modern businesses use a variety of SaaS platforms to track and measure performance. Some rely on Google Ads analytics or Facebook ads analytics to monitor paid campaigns, others do P...

Buy vs Build - Should You Invest in Datazip or Build Your Own Data Platform?

Jan 7, 2025 · 7 min read · In today’s data-driven world, every organization is keen on setting up robust analytics, yet the fundamental question often remains: Do we buy a data solution platform or build one from the ground up using our own tech team (and all tech overload + m...

Is your mongoDB Analytics Slow? Here’s Why and How to Fix It

Jan 7, 2025 · 16 min read · This is part of blog Series “Database to Analytics Ready Data“ If you are here, it’s likely that you’re frustrated with running analytical queries on your MongoDB analytics data. You might have GBs to TBs of data sitting in MongoDB—user events, logs,...