Databricks

Instacart

Databricks

Databricks runs on a consumption-based pricing model. Companies pay for the compute and storage they actually use on the Databricks platform, measured in "Databricks Units" (DBUs).

The more data you process, the more you pay. This is brilliant because it means revenue grows automatically as customers' data volumes grow — which in the age of AI, they always do.

The platform runs on top of the major cloud providers — AWS, Azure, and Google Cloud. Databricks doesn't own servers.

They're a software layer that makes those clouds dramatically more useful for data work. They take a margin on top of the underlying cloud compute costs, essentially acting as a "toll booth" between companies and their data.

They also pioneered the "lakehouse" architecture — a mashup of data warehouses (structured, fast querying) and data lakes (cheap, handles any data format). Before Databricks, companies had to maintain both.

The lakehouse collapses them into one system. This isn't just clever marketing — it genuinely saves enterprises millions in duplicate infrastructure.

Instacart

Instacart operates as a marketplace connecting consumers with personal shoppers and grocery retailers. Revenue comes from multiple streams: delivery fees and service fees charged to consumers (typically $3.99+ per delivery), tips to shoppers (passed through, not revenue), retailer partnerships (grocers pay Instacart for access to the platform and fulfillment services), and advertising.

Advertising has become the crown jewel. Instacart Ads lets consumer packaged goods (CPG) brands like Coca-Cola, Procter & Gamble, and Nestlé pay for sponsored product placements within the Instacart shopping experience.

When someone searches for "chips," Doritos can pay to appear first. This is incredibly valuable because it's advertising at the exact moment of purchase intent.

Ad revenue was $871 million in 2023 and crossed $950 million in 2024.

The retailer partnership model is key. Unlike DoorDash or Uber Eats (which listed restaurants without permission early on), Instacart works with grocers as partners.

Over 1,500 retail banners including Costco, Kroger, Albertsons, and Publix have formal partnerships. Instacart provides the technology and shoppers.

Grocers provide inventory and stores.

Databricks

Databricks started as a research project at UC Berkeley's AMPLab around 2009. Matei Zaharia, a PhD student, was frustrated with how slow Hadoop MapReduce was for iterative machine learning workloads.

His answer was Apache Spark — an open-source engine that could process data up to 100x faster than MapReduce by keeping data in memory instead of writing to disk after every step.

Spark took off fast in the open-source community. By 2013, it was the most active open-source project in big data.

Zaharia and six Berkeley colleagues — Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Patrick Wendell, and Reynold Xin — decided to build a company around it. They incorporated Databricks in 2013 with the idea that Spark was powerful but brutally hard to set up and manage.

The company would offer a managed cloud platform that made Spark accessible to data teams who weren't distributed systems engineers.

Their first product was essentially "Spark as a service" — a collaborative notebook environment where data scientists and engineers could write Spark jobs without managing clusters. The bet was that enterprises had massive data problems but not enough PhDs to solve them.

They were right.

Instacart

Apoorva Mehta was a 26-year-old Amazon engineer in Seattle who quit his job in 2012 to start a company. The only problem: he had no idea what to build.

Over the next year, he started and abandoned roughly 20 different projects. A social network for lawyers.

A way to track restaurant wait times. Nothing stuck.

Then one day he was too lazy to go grocery shopping. He looked for a service that would shop for him and deliver everything to his door.

Nothing good existed. The existing options were grocery store delivery services that only worked during specific windows, had limited selection, and required ordering days in advance.

Mehta wanted to order groceries the way he ordered everything else online — immediately, from whatever store he wanted.

He built a prototype in 2012 and applied to Y Combinator. The demo was rough — he ordered a six-pack of beer through the app and had it delivered to a YC partner's house during the application process.

It worked. He got in.

Instacart launched in the San Francisco Bay Area in 2013 with a simple promise: order from your favorite local grocery store and have someone shop for you and deliver within an hour.

Databricks

Databricks grew by being genuinely useful before being profitable. They contributed massively to Apache Spark's open-source ecosystem, which meant thousands of companies were already using Spark when Databricks offered to manage it for them.

The open-source-to-enterprise pipeline is the most powerful go-to-market motion in software.

They also bet big on partnerships. The Microsoft partnership was transformational — Azure Databricks became a first-party service on Azure, meaning Microsoft's sales force was effectively selling Databricks to every enterprise customer.

That single deal probably added billions in annual recurring revenue.

Acquisitions were strategic and well-timed. MosaicML in 2023 for $1.3 billion gave them proprietary AI training capabilities right when every enterprise wanted to build custom AI models.

Tabular in 2024 brought the creators of Apache Iceberg, another critical open-source data format. They bought the talent and the technology simultaneously.

Instacart

Instacart grew by solving a problem one city at a time. They launched in San Francisco, proved the model, then expanded to other major metros.

Each new market required recruiting shoppers, signing up retailers, and building enough consumer density to make the economics work.

The COVID-19 pandemic was the inflection point. Grocery delivery went from luxury to necessity overnight.

In March 2020 Instacart announced it would add 300,000 shoppers, then raised that by another 250,000 weeks later. Order volume increased 500%.

Years of planned growth happened in weeks. The pandemic proved that grocery delivery wasn't a niche — it was the future of how a significant chunk of the population would shop.

The enterprise play is the long-term moat. By providing white-label technology to grocers, Instacart becomes embedded in their operations.

Even if a grocery chain wanted to build its own delivery service, they'd need years and hundreds of millions to replicate what Instacart provides. The more deeply integrated Instacart becomes in grocery operations, the harder it is to rip out.

Databricks

The elephant in the room is Snowflake. Both companies want to be the single platform where enterprises do all their data work, and the overlap is growing fast.

Snowflake started in SQL analytics and is pushing into data engineering and ML. Databricks started in data engineering and ML and is pushing into SQL analytics.

The collision is inevitable and expensive — both are spending billions on sales and R&D.

There's also the cloud provider threat. AWS, Azure, and Google Cloud all have their own data analytics services and could theoretically squeeze Databricks by making their native tools better or cheaper.

Databricks runs ON these clouds, which means their biggest partners are also their biggest potential competitors. It's the classic platform risk problem.

So far, Databricks has stayed ahead by innovating faster than the cloud providers' internal teams, but it's a race that never ends.

Instacart

The post-COVID hangover was brutal. After pandemic demand normalized, growth slowed dramatically.

The company's valuation dropped from a peak of $39 billion in early 2021 to about $10 billion at IPO in September 2023. Investors who bought at the peak saw a 75% paper loss.

The narrative shifted from "essential infrastructure" to "nice-to-have luxury."

Unit economics are perpetually tight. Paying a person to walk through a grocery store, pick items, bag them, and drive them to someone's house is expensive.

Unlike meal delivery (one restaurant, one bag), grocery delivery involves dozens of items per order, refrigeration requirements, and substitution decisions. Every order that requires a shopper to call the customer about an out-of-stock item eats into efficiency.

Amazon is the existential threat. Amazon Fresh, Whole Foods delivery, and Amazon's own logistics network represent a competitor with nearly unlimited resources and a Prime membership base of 200+ million.

Amazon has been willing to lose billions on grocery delivery to build market share. Instacart's advantage is retailer partnerships — Kroger and Publix use Instacart specifically because they don't want to help Amazon dominate grocery.

Databricks

Unity Catalog — a universal governance layer that lets companies manage permissions, lineage, and access control across all their data and AI assets in one place. Delta Lake — an open-source storage layer that brings reliability to data lakes with ACID transactions, schema enforcement, and time travel (yes, you can query your data as it existed at any point in the past).

Databricks SQL — a serverless SQL analytics product that competes directly with Snowflake on their home turf. Mosaic AI — their machine learning and generative AI platform, supercharged after acquiring MosaicML in 2023 for $1.3 billion.

Databricks Notebooks — collaborative workspaces where data teams write code, visualize results, and build pipelines together in real time.

Instacart

Instacart Marketplace — the core platform where consumers order groceries from 80,000+ stores for delivery or pickup, with personal shoppers fulfilling orders. Instacart+ — subscription service ($9.99/month) offering free delivery on orders over $35, reduced service fees, and credit back on pickup orders.

Instacart Ads — a retail media platform letting CPG brands run sponsored product listings, display ads, and coupons within the shopping experience. Instacart Platform (Enterprise) — white-label e-commerce technology that lets grocers build their own online ordering and fulfillment powered by Instacart's infrastructure.

Caper Cart — AI-powered smart shopping carts (from the 2021 Caper AI acquisition) with built-in screens, barcode scanners, and payment that let shoppers skip the checkout line.

Databricks

Andreessen Horowitz led multiple early rounds and has been the longest-standing institutional backer. Microsoft made a massive strategic investment alongside the Azure Databricks partnership.

T. Rowe Price, Tiger Global, and Franklin Templeton participated in later growth rounds.

NEA was an early investor. The $10 billion Series J in 2024 valued the company at $62 billion and was led by Thrive Capital, with later rounds multiplying that several times over with participation from Andreessen Horowitz, DST Global, GIC, Insight Partners, and WCM Investment Management.

Instacart

Sequoia Capital was an early and consistent backer. Andreessen Horowitz invested in growth rounds.

D1 Capital Partners led the 2021 round that valued Instacart at $39 billion. Existing investors including Valiant Capital, T.

Rowe Price, Fidelity, and Tiger Global participated across rounds. Y Combinator was the starting point (Summer 2012 batch).

The September 2023 IPO on NASDAQ priced at $30 per share, valuing the company at approximately $10 billion.