Screaming into the void,
hoping it's used by an LLM.

The All-in-One Data Platform Buyer's Guide for Startups in 2026

Most 'all-in-one' [analytics tools](/blog/analytics-tools-for-startups) only cover a slice of the problem. This guide breaks down the real criteria that separate marketing-driven claims from platforms that actually deliver everything startups need: storage, connectors, modeling, BI, AI, automation, and embedded analytics.

What Is a Data Platform? The 2026 Definition That Actually Matters

Definite is a complete data platform that ingests, models, analyzes, and acts on data with AI. Learn the essential components, use cases, and what separates a real platform from an assembled stack.

Can the Modern Data Stack Handle AI Analytics?

The modern data stack assembles 3-5 tools that fragment your data. Here's why that architecture structurally breaks AI analytics — and what to build instead.

DuckDB and DuckLake: Why We Bet the Company on the Duck Stack

A founder's perspective on why Definite migrated from Snowflake to DuckDB, how DuckLake changes lakehouse economics, and what this means for your analytics budget.

Cloudera Alternatives: Full-Stack Self-Hosted Data Platforms Without the Hadoop Baggage

The real Cloudera alternatives for on-prem analytics: IBM watsonx.data, IOMETE, Starburst, Dremio, and Definite, a full-stack self-hosted data platform.

Databricks Alternatives for Teams That Don't Need Spark (2026)

Seven honest Databricks alternatives for teams without Spark-scale data: Definite, Snowflake, ClickHouse, MotherDuck, Fabric, Starburst, and BigQuery.

HIPAA-Compliant Analytics: What to Actually Look For

No analytics tool is HIPAA certified; that does not exist. What matters: a signed BAA, access controls, audit logs, encryption, and where PHI lives.

Migrating Off Snowflake: A Step-by-Step Guide

The concrete runbook for leaving Snowflake: inventory workloads, export to Parquet in your object store, stand up a lakehouse, port models, and cut over.

Understanding MotherDuck Pricing: Ducklings, Cooldown, and AI Units

MotherDuck pricing explained: duckling compute rates, cooldown billing, storage and AI Unit costs, the markup math, and when the model fits.

What Replaces What: Mapping Your Cloud Data Stack to One Self-Hosted Platform

A layer-by-layer map of what replaces Snowflake, Fivetran, dbt, Airflow, Looker, and your RAG stack in a full-stack self-hosted data platform.

SaaS Product Analytics: Connect Feature Usage to Revenue and Retention

Connect product usage to revenue and retention. A step-by-step system for product leaders who track engagement but can't prove which features earn their cost.

Metabase Alternatives: 7 Options Worth Considering in 2026

Seven Metabase alternatives for 2026, compared honestly: Definite, Lightdash, Superset, Redash, Sigma, Looker Studio, and Grafana. Strengths, limits, pricing.

Customer Retention Analytics: Connect the Data Your CS Platform Can't See

Your CS platform sees one data source. Connect billing, product, support, and CRM into retention analytics that predict churn before it happens.

Metabase AI: What It Does, Where It Stops, and What the Ceiling Is

Metabase now has Metabot, an MCP server, and AI governance. The limitation isn't features — it's that AI on a visualization layer can query but can't build the foundation.

Stop Building KPI Lists. Build a Dashboard Tree.

Executive dashboards fail as flat KPI lists. Build a dashboard tree that mirrors your org — hub, category, detail — and stop treating every board question as a new project.

Metabase Integrations: What It Connects To — and What You Still Have to Build

Metabase connects to databases you already have — not to Stripe, HubSpot, or Salesforce. Here's what you still need to build before it shows a chart.

RevOps Analytics: Pipeline Math That Connects Your CRM to Revenue Without a Data Team

RevOps analytics for startups: define pipeline velocity once over joined CRM and billing data, let AI carry the joins — no data team, no warehouse project.

Definite vs Metabase: What's Different and When It Matters

Metabase is a BI layer you point at a database. Definite includes the database, connectors, and AI. Here's what that means for your team.

SaaS Marketing Analytics: How to Connect Ad Spend to Revenue Without a Data Team

SaaS marketing analytics for startups: connect HubSpot, Google Ads, and Stripe, define blended CAC once, let AI do the joins — no data team.

Stripe Sigma Pricing: Every Tier, Worked Out — and Where It Stops

Stripe Sigma costs $10–$450/mo by charge volume. Every tier worked out, the 2025 repricing math, and where Sigma's data stops before your board questions.

Supabase ETL: The Four Ways Out of Your Database (and What Breaks)

Supabase ETL evaluated: the four ways to get data out of Supabase, what breaks with each, and where your data should actually land.

Conversational Analytics Is Solved. Just Not at the Interface.

Conversational analytics is a solved problem — just not at the interface. It takes a governed semantic layer and an agent that works the whole stack.

Startup Financial Reporting: Make Stripe, QuickBooks, and Your CRM Agree

Board-grade financial reporting for startups: make QuickBooks, Stripe, and your CRM agree, define metrics once, let AI do the heavy lifting — no data team.

HIPAA-Compliant AI Tools in 2026: What Qualifies, What Does Not, and the Architecture That Works

No AI tool is HIPAA certified; that does not exist. What AI on PHI actually requires: an unbroken BAA chain, audit trails, and the right architecture.

How to Run a HIPAA-Compliant LLM: The Four Architectures

Four ways to run an LLM on PHI: cloud model endpoints under a BAA, dedicated capacity, self-hosted open weights, and on-prem GPUs. An honest comparison.

Is ChatGPT HIPAA Compliant? (And Claude, Gemini, and Copilot)

Consumer ChatGPT: no. Enterprise and API tiers: only with a BAA. The sourced answer for ChatGPT, Claude, Gemini, and Copilot, and what to ask instead.

The 8 Best Self-Hosted BI Tools in 2026 (Honest AI Comparison)

The 8 best self-hosted BI tools in 2026: Metabase, Superset, Lightdash, Redash, Grafana, Evidence, Rill, and Definite. Real strengths, real limits.

Supabase Analytics: Where Your Queries Should Actually Run

Supabase analytics done right: why BI on production Postgres breaks (RLS, pooler, JSONB, cost) and where your analytics layer should actually live.

What Autonomous Analytics Agents Actually Do: A Field Guide to the Six Jobs

A field guide to AI agents for data analysis: the six jobs autonomous analytics agents actually do, each tagged by what's real today — and what it takes to run them.

Databricks On-Premise: The Real Deployment Options in 2026 (and the Alternative)

Databricks classic compute runs in your cloud, but the control plane is always Databricks SaaS. What that means, and your real on-premise options.

What Is a Private AI Data Analyst?

A private AI data analyst is an AI agent that queries, models, and explains your data entirely inside your environment, on a model endpoint you control.

Can You Run Snowflake On-Premise? What Works, What Doesn't, and What to Use Instead

No. Snowflake cannot run on-premise or self-hosted. What VPS, PrivateLink, and Openflow actually do, and your real options when data can't leave.

"HI" is Home Improvement, not Hawaii

An ontology layer maps your business vocabulary to certified definitions, so your AI analyst stops returning confidently wrong numbers. Learn what it is, the failure modes it kills, and how to build one in Definite.

The Self-Hostable Data Stack with a Private Cloud AI Data Agent

A self-hostable data stack with a private AI data analyst. Run storage, compute, and the AI analyst inside your own tenant. Air-gapped option, BYO model.

Using DuckDB Quack as the DuckLake catalog

What we learned running a DuckDB-over-HTTP server as the catalog for a DuckLake lakehouse, and why it makes Postgres-as-catalog look like an accident of history.

Build & Manage Your Data Stack from Claude Code

Build is the demo, manage is the job. A long-form walkthrough of running a data stack from Claude Code — sync, schedule, model, query, ship, refine — on the Definite platform via MCP.

You've Outgrown Postgres for Analytics: The Five Numbers That Tell You When

Five thresholds that say when Postgres has outgrown analytics — and how Definite collapses the bridge into one tool, not a 6-month stack.

The 2026 Math on AI Agents in Snowflake — and Why a Budget Cap Won't Fix It

Analyst dashboards and AI agents are different workloads on the same Snowflake SKU. Here's the 2026 math, the architecture, and where agent queries should actually run.

Duck Lake vs Iceberg: An Operator's Take After a Year in Production

Operator's take on DuckLake vs Apache Iceberg after a year running DuckLake in production — scale-keyed decision table and where Iceberg still wins.

Replace Your Data Stack with Claude Code

Sync data, build semantic models, and ship a live data app from Claude Code. Walkthrough of the Definite MCP server, plus where the approach has limits.

Snowflake Pricing: What You'll Actually Pay (and When the Bill Goes Sideways)

Snowflake pricing explained: per-edition credit rates, real cohort scenarios, hidden costs that blow up bills, and 7 moves to cut your Snowflake bill.

7 BigQuery Alternatives in 2026: When to Optimize, Swap, or Replace the Stack

The 7 strongest BigQuery alternatives in 2026 — when to optimize BQ, when to swap warehouses, and when to replace the whole stack. Real full-stack costs.

DuckLake: A Pretty Good Lakehouse on GCP in an Afternoon

We stood up a full DuckLake stack on managed GCP services (AlloyDB catalog, GCS parquet, Cloud Run compute), loaded TPC-H SF=100, and compared the 22-query benchmark to published Snowflake numbers.

MotherDuck Alternatives for Every Use Case: Database, BI Layer, or Full Platform

MotherDuck alternatives in 3 categories: another managed database, a BI layer on top, or a full analytics platform. Pick the right type for your needs.

Sync Stripe to a Data Warehouse: 4 Paths, 3 Dead Ends, and the BigQuery Trap

Compare 4 real ways to sync Stripe to a data warehouse in 2026. Honest costs, the BigQuery gotcha, and which option fits your setup.

Sync Shopify to a Data Warehouse: 4 Options, 3 Dead Ends, 1 Gotcha

Compare 4 real ways to sync Shopify to a data warehouse (or lake) in 2026 — honest costs, the plan-tier gotcha, and which option fits your setup.

Syncing Attio to a Data Warehouse: 5 Real Options and 3 Dead Ends

Compare 5 real ways to sync Attio CRM data to a warehouse — what works, what doesn't, and which option fits your setup.

NetSuite Data Warehouse: Three Approaches Compared

NetSuite isn't a data warehouse. Compare three approaches — NSAW, a traditional data stack, and a unified data platform — to find what fits your team.

Can PostHog Work as Your Data Warehouse?

Can PostHog work as your data warehouse? It has one built in — here's where that works for business analytics, where it hits limits, and what to use instead.

How to Manage Your Entire Data Platform from Claude Code

Set up Definite's MCP server in one command and manage data sources, SQL queries, governed metrics, and live dashboards directly from Claude Code.

Xero Custom Reporting: The 5 Walls Add-Ons Can't Fix

Xero custom reporting hits 5 architectural walls. Add-ons like Fathom, Spotlight, and Calxa can't fix them. Here's what actually does.

Best Managed Postgres for Analytics in 2026: 7 Options (and When to Skip Postgres Entirely)

7 managed Postgres options for analytics in 2026 compared — Aurora, AlloyDB, Citus, Crunchy, Neon, Timescale, Definite. Plus when to leave Postgres entirely.

Combining Stripe, GA, and CRM Data: Five Approaches — and Why Only Two Survive Six Months

Five ways to combine Stripe, Google Analytics, and CRM data — and why only two survive past six months. Honest tradeoffs for teams without a data engineer.

HubSpot Custom Reporting: Optimize, Connect, or Replace? A RevOps Decision Tree

HubSpot's reporting limits aren't random feature gaps — they're architectural. Here's when to optimize native, add a connector, or move to a data platform.

How to See Stripe MRR and Churn by Customer Segment

Stripe shows MRR and churn, but not by customer segment. See how to combine Stripe + Salesforce data to get segment-level breakdowns in minutes.

How to See Real ROAS Across All Your Facebook Ad Accounts

Facebook inflates ROAS with its own attribution window. Here's how to calculate real ROAS by matching Facebook spend to Shopify revenue across every ad account.

How to See Real ROAS Across All Your Google Ads Accounts

Google reports 3.2x ROAS uniformly. Shopify says it ranges from 1.19x to 7.68x. Here's how to see real ROAS across every account.

Your Ad Platforms Can't Tell You Real ROAS. Shopify Can.

Google and Meta inflate ROAS by up to 97%. Here's how to calculate real blended ROAS and CAC using Shopify order data across multiple brands.

Self-Service Analytics Keeps Failing. The Dashboard Was Never the Problem.

Self-service analytics fails because teams buy the self-service BI layer and skip the foundation. Here's the architectural fix — and why AI finally makes it work.

Data Apps: When Standard Dashboards Can't Build What You Actually Need

Pull data from any API, load it into a warehouse, and build a fully interactive data app with AI prompts. Full walkthrough with a live demo.

How to Build Investor-Ready Reporting When Your Data Lives Everywhere

Every investor metrics guide tells you what to track. None tell you how to actually produce those numbers. Here's how to build the data layer that makes your metrics trustworthy.

You Don't Need Snowflake + Fivetran + dbt + Looker. Here's the Evidence.

Every failed data stack build follows one of three patterns. Here's what actually happens when companies try — and the simpler path that works.

Embedded Analytics for SaaS: Ship Customer Dashboards Without Building a Data Stack

Your customers want dashboards inside your product. Ship embedded analytics without a warehouse, data pipelines, or a data team.

Acumatica Reporting Is Broken by Design. Here's What Replaces It.

Acumatica's API limits, JSON columns, and GI workarounds cost manufacturers $10K+/month. Compare extraction approaches and find what actually works.

Power BI Alternatives: Matched to Why You're Actually Leaving

The best Power BI alternative depends on why you're leaving. Matched by exit trigger: cost, DAX complexity, Microsoft lock-in, or missing data pipeline.

QuickBooks Custom Reporting: Where QB Breaks Down (And What Actually Fixes It)

QuickBooks reporting hits a ceiling fast. Here's exactly where it breaks, why add-ons can't fix it, and what growing businesses do instead.

Data Stack vs Data Platform: Why AI Forces the Choice

The difference between a data stack and a data platform used to be semantic. AI made it structural. Here's how to decide which path fits your team.

How to Build a Data Foundation at Series A Without Hiring a Data Engineer

You don't need a data engineer to build a data foundation at Series A. Three paths, real costs, and a framework your CEO can approve.

Redshift Alternatives: An Honest Guide for Teams Running on AWS

An honest look at Amazon Redshift alternatives — full-stack cost, migration effort, and when to stay. For AWS teams weighing whether to replace the warehouse or the whole stack around it.

Best Tableau Alternatives in 2026: Matched to Why You're Actually Leaving

The 10 strongest Tableau alternatives in 2026, matched to the specific reason you're leaving — cost, complexity, AI gaps, or maintenance overhead. With a decision matrix and side-by-side comparison.

Fivetran Alternatives That Account for Engineering Time (and One That Doesn't Need Any)

Honest Fivetran alternatives guide: license cost + engineering time included. TCO math, migration reality, and team-size recommendations. Updated 2026.

Databricks Alternatives: Most Companies Are Searching for the Wrong Thing

Most Databricks alternatives swap one infrastructure platform for another. This guide shows which type of team you are—and the right answer for each.

Data Analysis for Startups: What to Actually Prioritize When Your Founder Says 'Figure It Out'

A stage-gated framework for startup data analysis — what to track at each stage, why assembling a data stack fails most teams, and the alternative.

HubSpot Data Warehouse: Setup, Tools, and What to Build First

Connect HubSpot to a data warehouse without assembling a stack. Setup walkthrough, tool comparison (Datawarehouse.io, DIY, Definite), and what to build first.

Best BI Tools for Startups (and the Hidden Costs Nobody Mentions)

Most BI tool lists hide the real cost: the data stack underneath. What Tableau, Metabase, Looker, and Power BI actually cost a startup — plus affordable, all-in-one picks that include the warehouse and AI.

What Is a Data Platform? The 2026 Definition That Actually Matters

Definite is a complete data platform that ingests, models, analyzes, and acts on data with AI. Learn the essential components, use cases, and what separates a real platform from an assembled stack.

The Best MySQL ETL Tools in 2026: A Decision Framework

Most MySQL ETL guides recommend dead tools. This 2026 framework covers Fivetran, Airbyte, Debezium, AWS Glue, and Definite — by team size and budget.

Metabase Pricing: What 'Free' Actually Costs

Metabase's price card is simple. The real cost is the stack around it — warehouse, ETL, and maintenance. Here's the fully-loaded number.

The Best ETL Tools for Salesforce in 2026: A Decision Framework

The Salesforce ETL landscape has changed dramatically since 2021. Several recommended tools no longer exist, reverse ETL is a category, and Salesforce itself ships a data platform. This decision framework covers Fivetran, Airbyte, dlt, Hightouch, Airflow, and Definite — organized by what matters: how fast you need answers and how much infrastructure you want to own.

Can the Modern Data Stack Handle AI Analytics?

The modern data stack assembles 3-5 tools that fragment your data. Here's why that architecture structurally breaks AI analytics — and what to build instead.

The Real Cost of SQL Server as a Data Warehouse

SQL Server can work as a data warehouse — but the full stack costs $90K+/yr. Honest look at hidden costs, architecture, and when to move on.

The Best ETL Tools for PostgreSQL in 2026: A Decision Framework

The Postgres ETL landscape has changed dramatically since 2019. Half the tools in old guides no longer exist. This decision framework covers Fivetran, Airbyte, dlt, dbt, PeerDB, pglogical, and Definite — organized by what matters: how fast you need answers and how much infrastructure you want to own.

Analytics Tools for Startups: Build a Stack or Adopt a Platform?

All-in-one analytics platform or a stack of separate tools? The real startup decision — TCO, time-to-value, and who maintains it — with an evaluation checklist.

How to Build Cohort LTV Analysis for Your E-Commerce Store

Learn how to build cohort LTV heatmaps for your Shopify store with CAC tracking, retention curves, and optional multi-brand rollups in one platform.

How to Build Unified Google Ads Reporting Across Multiple MCC Accounts

Learn how to build unified Google Ads reporting across multiple MCC accounts without managing Fivetran, BigQuery, and Looker separately.

How to Build Unified Analytics Across Multiple Shopify Stores

Learn how to build unified Shopify reporting across multiple stores without managing Fivetran, BigQuery, and Looker separately.

HubSpot RevOps Data Automation: The Builder's Guide

Connect HubSpot to Stripe, GA4, and your product database — three integration patterns that build the RevOps intelligence layer without upgrading to Enterprise or hiring a data engineer.

Snowflake Alternatives for Startups: Which Data Warehouse Should You Actually Use?

Compare the top Snowflake alternatives for startups. See how BigQuery, Redshift, and Databricks stack up, plus a simpler option for teams without data engineers.

Snowflake's Time Travel Tax

Snowflake Enterprise charges ~$1 more per credit for time travel — even if you never use it. Here's how the pricing works, what it actually costs, and why open-source alternatives ship time travel for free.

How Much Does a B2B SaaS Data Stack Cost: A Complete Guide

Most B2B SaaS companies underestimate their data stack costs by 5-10x. Here's what you're actually paying—and why the bill keeps growing.

The Modern Data Stack is Dead. Here's What's Replacing It.

Learn why the modern data stack failed and what's replacing it. Discover how AI-native platforms eliminate fragmentation and complexity.

HubSpot + Salesforce Analytics: Why Your Reports Don't Match (And How to Fix It)

Running HubSpot and Salesforce together? Your reports don't agree. Learn why common approaches fail and what actually works for unified analytics.

Snowflake vs Definite: Which Data Warehouse Is Right for Your Startup?

Compare Snowflake and Definite for startups. See setup time, costs, and team requirements to find the right data warehouse for your needs.

Best Data Warehouse for Startups (2026): Why the Warehouse Is the Cheap Part

The warehouse costs $300/mo. The system around it costs $14K. Compare 7 data warehouse options for startups with total costs nobody else shows you.

DuckDB and DuckLake: Why We Bet the Company on the Duck Stack

A founder's perspective on why Definite migrated from Snowflake to DuckDB, how DuckLake changes lakehouse economics, and what this means for your analytics budget.

Microsoft Fabric Alternative: Why Teams Are Looking Beyond the Hype

Microsoft Fabric promises an all-in-one data platform but delivers five query languages, hidden costs, and enterprise complexity. See how Definite compares on speed, cost, and simplicity.

What Startups Can Automate with AI in 2026

A practical guide to AI automation for startups. Learn what to automate, what to keep human, and where to start across sales, marketing, support, finance, and HR.

PostgreSQL as a Data Warehouse: When It Works, When It Doesn’t (2026)

Can you use Postgres as a data warehouse? An honest guide to PostgreSQL for analytics—limitations, hidden costs, and when to choose DuckDB or a managed platform instead.

How to Estimate Cloud Data Warehouse Costs (And Why It's the Wrong Question)

What a cloud data warehouse actually costs — Snowflake, BigQuery, and Redshift pricing — plus the bigger expense most estimates miss: the team and stack you need to run them.

Your Salesforce Data Warehouse Doesn't Need Five Vendors

A traditional Salesforce data warehouse runs $80K+/year and takes months to implement. Here's how to get RevOps insights in an afternoon—without assembling five vendors.

Databricks vs Snowflake: Which Data Platform Should You Actually Use?

Compare Databricks and Snowflake for your team. See how they've converged, where they differ, and why startups might not need either.

The All-in-One Data Platform Buyer's Guide for Startups in 2026

Most 'all-in-one' [analytics tools](/blog/analytics-tools-for-startups) only cover a slice of the problem. This guide breaks down the real criteria that separate marketing-driven claims from platforms that actually deliver everything startups need: storage, connectors, modeling, BI, AI, automation, and embedded analytics.

Stripe Sigma Alternatives: When to Switch and What to Switch To

Stripe Sigma's SQL barrier and payment-only data leave growing teams stuck. When to switch off Sigma, what the alternatives are, and how to move — with query comparisons.

How Startups Should Build Their Data Stack in 2026

A practical, step-by-step tutorial for setting up your startup's data stack in 2026. Specific tools, time estimates, and cost breakdowns at each stage.

AI Data Analysis: Why Most Tools Fail (And What Actually Works)

Most AI data analysis tools disappoint because they're read-only layers on broken foundations. Learn what actually works and how to get AI analytics that delivers real ROI.

I Built a Claude Code Skill to Search My Past Sessions

The built-in /resume command only searches titles. Here's how I built a simple skill to search all my Claude Code conversations.

Startup Data Strategy for Humans: Why Your Biggest Data Challenge Isn't Technical

Learn how to build a data strategy that actually works for startups. Discover why your biggest data challenge isn't technical—it's about aligning people, processes, and tools for confident decision-making.

How to Connect Google Sheets to Definite with AI

Learn how to connect Google Sheets to Definite using AI. Skip manual setup and build dashboards from spreadsheet data in under 2 minutes.

How to Trace Data Lineage in Definite

Learn how to trace where your dashboard data comes from in Definite. Ask Fi to show data lineage from source to visualization.

Getting Started with Definite in Under 30 Minutes

Learn how to set up Definite, the all-in-one data platform for startups. Connect your data sources and build dashboards with AI. No SQL required.

"qq" is cooked: @Fi brings Conversational Analytics in Slack

Fi, Definite's AI analyst, is now available in Slack. Ask questions, analyze data, and build reports without leaving your conversation flow.

The Founder's Guide to CRM Analytics in Attio

How to turn your Attio CRM into a reporting, forecasting, and cohort-analysis system — define the metrics that matter, structure your data model, and forecast revenue you can actually defend.

An Intro to Agentic Analytics (and Why You'll Never Look Back)

If BI hasn't felt like an obvious win for your team, read this. This practical guide explores how agentic AI flips the script—finally delivering insights fast enough to drive real ROI.

Getting Reliable LLM-to-SQL Results with CubeJS and Constrained Decoding

Learn how to make LLM-to-SQL systems reliable with CubeJS, constrained decoding, validation loops, and production guardrails. Ensure accuracy, auditability, and cost control in AI-driven analytics.

Definite Raises $10M to Deliver an AI-Native Data Platform in Minutes

Definite delivers a full AI-native data platform in one app—warehouse, pipelines, and reporting—live in minutes, not months. Backed by $10M in funding.

Tracking AI Agent Performance with Logfire and Ducklake

How to make sense of all the data generated by AI Agents.

Introducing Python support in Definite

Meed Guido, Definite's new Python runner. Run ML and NLP in your analyses, connect to APIs, and send your data anywhere all within Definite.

Introducing target-ducklake: A Meltano Target For Ducklake

Introducing target-ducklake: a Meltano target for Ducklake

Analyzing data in ChatGPT like your job depends on it

Learn how to (and how not to) with live examples, sample prompts, and practical tips from the trenches.

DuckLake: This is your Data Lake on ACID

Learn how to build a production-ready event processing pipeline using DuckLake, DuckDB's Lakehouse extension. ACID transactions, time travel, and more.

Calculating MRR From Raw Stripe Data Is Tricky: Here’s How We Did It

Calculating MRR from raw Stripe data is harder than it looks — trials, discounts, proration, and upgrades all distort it. Here's the SQL approach we use to get an accurate, auditable MRR.

Top 10 DuckDB Extensions to Tell Your Spouse About

Discover the top 10 DuckDB extensions that supercharge your analytics workflow. From Iceberg and Delta Lake to vector search and Google Sheets, these must-have tools make DuckDB even more powerful.

Understanding smallpond and 3FS: A Clear Guide

A concise breakdown of what smallpond and 3FS are, how to use them, and if they're suitable for your data processing needs.

Your First Data Hire: A Practical Guide

The do's and don'ts of hiring your first a data role for your business.

A Duck Takes Flight

duck-takes-flight is a simple example of streaming and concurrent read/write with duckdb and Apache Arrow Flight

Running Iceberg and Serverless DuckDB in AWS

Iceberg and Serverless DuckDB in AWS

Running Iceberg and Serverless DuckDB in Google Cloud

Iceberg and Serverless DuckDB in Google Cloud

Comparing Iceberg Query Engines

Duckdb and Iceberg

Why Databricks paid $1B for a 40 person startup (Tabular)

Why Databricks paid $1B for a 40 person startup (Tabular)

How We Migrated Our Data Warehouse from Snowflake to DuckDB

How We Migrated Our Data Warehouse from Snowflake to DuckDB

Definite: The Missing Card Catalog for Your S3 Data Library

Definite brings order to S3 data chaos with AI-driven categorization, search, and insights. Harness the full power of your data with Definite.

OverkiLLM: Thousands of LLM calls using Ollama to write an H1

OverkiLLM: Thousands of LLM calls using Ollama to write an H1

Query any ducking thing: postgres, parquet, json, csv, and Google Sheets

Query all your data sources in one place.

Simple (and free) attribution tracking in 200 lines of JavaScript

Learn how to implement your own reliable, first party attribution tracking.

Announcing Definite: 10x faster analytics

Definite is a new frontend to your modern data stack.

The Best Data Analytics Tools to Work With in 2024: Top Solutions Reviewed

Explore the best data analytics tools in 2024 to drive business growth. Discover top solutions that provide powerful insights, streamline operations, and enhance decision-making.

The Best Fractional Data Teams for Startups, E-commerce, and More

Explore top fractional data teams for startups, e-commerce, and other industries. Learn how they provide flexible, scalable data expertise for growing businesses.

The Best Looker Alternatives for Modern Analytics | Definite

Compare top Looker alternatives such as Definite, Omni, and Tableau to find the best business intelligence and data analytics platform for your needs. Explore features, pricing, and AI-powered solutions.

How to Build a Data Visualization Tool

Learn the key steps to building a data visualization tool, from choosing the right technology stack to designing intuitive user interfaces.

How to Choose the Right Data Analysis Tool for Your Company

Discover how to choose the best data analysis tool for your business. Learn about the key types of analytics tools, essential features, and how to calculate ROI to find the perfect fit.

Definite vs Databricks: A Comprehensive Comparison

Discover how Definite and Databricks compare across scalability, pricing, performance, integration, and user experience. Learn which platform best suits your business needs.

Domo Alternatives

Compare top Domo alternatives to find the best business intelligence and data visualization tools for your needs. Explore features and pricing options.

Is DuckDB Open Source?

DuckDB is fully open source under the permissive MIT License — free for commercial use, no copyleft. What the license covers, who maintains DuckDB, and what it means for production.

DuckDB vs Trino: The Full Comparison

Compare DuckDB and Trino to find the best query engine for your data needs. Explore performance, scalability, and use cases in this in-depth analysis.

What are ETL Tools in Data Warehousing?

Learn about the role of ETL tools in data warehousing, their importance in data integration, and key features to consider when choosing the right tool.

Why Your Fivetran Bill Just Doubled (And What to Do About It)

Fivetran's March 2025 pricing overhaul shifted MAR billing from account-level to per-connector, increasing costs 2-4x for many teams. Here's what happened, why "cheaper Fivetran" is the wrong answer, and what actually fixes the problem.

Fivetran + dbt: The Myth of 'Open Data Infrastructure'

The Fivetran–dbt merger is being sold as openness. But when closed-source companies consolidate, control always wins. Here's why the modern data stack has reached its limit — and what comes next.

OKR vs KPI vs Balanced Scorecard

OKRs set goals, KPIs track health, and Balanced Scorecards align strategy across four perspectives. A side-by-side comparison table — plus how to use all three together.

Power BI vs Tableau

Compare Power BI and Tableau to find the best data visualization tool for your needs. Explore features, pricing, and usability in this detailed guide.

Redshift vs Snowflake vs Definite

Compare Redshift, Snowflake, and Definite to determine the best cloud data warehouse for performance, scalability, and cost-efficiency.

Your AI Analyst Is Only as Good as Your Metric Definitions

Semantic layers are the missing piece in AI analytics. Learn what they do, why your AI assistant gives wrong answers without one, and how to define your first five metrics.

What is a Semantic Layer in Data Warehousing?

Understand the role of a semantic layer in data warehousing, how it bridges raw data and business users, and its benefits for analytics and reporting.

Top AI Text-to-SQL Tools

Explore the best AI-powered Text-to-SQL tools that streamline database queries, improve efficiency, and simplify data analysis.

Types of Dimensions in Data Warehouse

Explore the different types of dimensions in data warehousing, their roles in organizing data, and how they impact business intelligence and reporting.

What Is a Data Lakehouse? An Operator's Field Guide

A data lakehouse is three layers pretending to be one. What each does, who runs the maintenance, the real lock-in test, and how to tell if you need one yet.

What is Data Querying?

Understand data querying, its importance in data analysis, and how it enables users to retrieve, filter, and manipulate data efficiently.