The two places every order is stored
Each record is written once by the app, then copied for analysis.
Box 1 is the database the app writes each order into. A copy then goes to box 2, where it is added up with millions of others. Box 3 companies run databases for companies that do not want to run them. Tap a title in the diagram to jump to its companies.
Databases for applications 8 companies
When a customer pays, books or signs up, the app saves that record at once in a database. These companies make those databases, each built for a different shape of data.
Document, key-value, graph and multi-model databases
Databases that store data in a shape other than tables of rows and columns.
MongoDBMongoDB sells a document database. Each record is stored as one document, much like the data an app already sends and receives, so a programmer can save a whole order in one step.Delhi NCRHiring now
AerospikeAerospike, with engineers in Bengaluru, sells a key-value store: each record is saved under one key and found by that key alone. It is built for advertising and payments, where an answer is needed in a thousandth of a second.Bengaluru
CouchbaseCouchbase sells a document database with a cache built in: the most-used data is kept in memory so it can be read very fast. It is used by apps with millions of users.BengaluruHired recentlyRelational databases
Databases that store data in tables, and can grow across many servers.
YugabyteYugabyte was founded by engineers who built the databases inside Facebook. It sells a database that works like PostgreSQL, the popular free database, but spreads across many servers so it keeps running if one fails.BengaluruHiring nowData warehouses and lakehouses 7 companies
A warehouse holds a copy of every record from a company's systems, organised so that analysts can ask questions across all of them. A lakehouse also stores raw files cheaply in the same system.
Warehouses and lakehouses
One place for all of a company's data, for reports and analysis.
DatabricksDatabricks, with engineers in Bengaluru, made the lakehouse popular: one system with the low cost of storing raw files and the structure of a warehouse. It now also sells tools for building AI on that data.BengaluruHiring now
TeradataTeradata is one of the companies that built the data warehouse, the system into which a bank or a retailer copies every transaction for analysis.Hyderabad · BengaluruHiring now
SnowflakeSnowflake is one of the companies that made the warehouse a cloud service, with nothing for the customer to install. It builds part of its platform in Bengaluru.Bengaluru · PuneHired recentlyFast answers on fresh data
Databases that add up billions of rows in under a second, including data that arrived seconds ago.
Database support and managed databases 2 companies
Some companies do not sell a database of their own. They help other companies run the free databases, or run the databases for them in the cloud.
What's changing
The warehouse is becoming where AI is built.
Warehouses were built to feed reports and dashboards. Companies now also want to train AI models and run AI tools on the same data, so warehouse and lakehouse makers are adding ways to do that where the data already sits, instead of copying it somewhere else.
Companies: ingrid's company map. Hiring signals: postings feed of 5 Nov 2026.









