Priyansh KhodiyarforDatazipdatazip.io·Jan 9, 2025What are technical challenges Datazip can solve?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...OneStack Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Jan 8, 2025Connecting Your BI Tool (Metabase, Tableau, Superset, etc.) to Production Databases Is Painful—Here’s a Better WayThis 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’...33 readsDatabase to Analytics Ready Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Jan 7, 2025Running Analytical Queries on Your SaaS Data at a Single PlaceThis 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...Database to Analytics Ready Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Jan 7, 2025Buy vs Build - Should You Invest in Datazip or Build Your Own Data Platform?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...OneStack Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Jan 7, 2025Is your mongoDB Analytics Slow? Here’s Why and How to Fix ItThis 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,...108 readsDatabase to Analytics Ready Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Jan 7, 2025Is your PostgreSQL Analytics Slow? Here’s Why and How to Fix ItThis is part of blog Series “Database to Analytics Ready Data“ If you are reading this, there is a high chance you are frustrated with slow postgres analytics queries on your PostgreSQL database. Especially when you have gigabytes (or even terabytes)...160 readsDatabase to Analytics Ready Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Jan 7, 2025Is your MYSQL Analytics Slow? Here’s Why and How to Fix ItThis is part of blog Series “Database to Analytics Ready Data“ If you are reading this, chances are you’re battling slow queries on MySQL every time you try to run complex analytics. It can be deeply frustrating to watch a query spin indefinitely, or...131 readsDatabase to Analytics Ready Dataonestack
Priyansh KhodiyarforDatazipdatazip.io·Dec 18, 2024Why Move from a Database to a Data Warehouse for Analytics?Core Reasoning 1. Specialized Architectural Design for Analytical Workloads Operational databases (e.g., MongoDB, MySQL, PostgreSQL) are primarily row-oriented systems optimized for transactional workloads: frequent inserts, updates, and low-latency ...83 readsData Warehouseonestack
Priyansh KhodiyarforDatazipdatazip.io·Dec 2, 2024Deploying Datazip on AWSIn this article, we're using AWS (can be done via Azure Marketplace as well) as an example to demonstrate Datazip deployment. Before we dive in, let's cover the prerequisites. You’ll need around 30 to 45 minutes of time, along with access to an opera...51 readsOneStack Datadatazip
Piyush SingariyaforDatazipdatazip.io·Sep 8, 2024Warehouse Horizontal Scaling - OpenEngine (Datazip's New Warehouse Technology)Introduction Datazip has unveiled OpenEngine, a groundbreaking solution that addresses one of the most significant challenges in making ClickHouse flexible and scalable with storage and computation detached. Built on the robust ClickHouse database, O...30 readsOpenEngineOpenEngine