Countless NoSQL databases competed to be the database of choice. MongoDB's marketing strategy helped it become the winner.
Episode 1 - Mongo DB Is Web Scale
#opensource | Andre Zayarni | 61 comments
We have a long history with MongoDB. Many years ago, when I was still writing code myself, NoSQL was a novel concept. I was sold on its simplicity and natural compatibility with the Node stack. I used Mongo for all my side projects. For work, we still preferred SQL DBs, though. Fast forward to the early days of Qdrant, MongoDB Ventures reached out, and we had several conversations; they considered investing in our seed round. Their product managers and engineers were reaching out and praising our solution. At some point, they revealed that they are going to add vectors to their Atlas search product just by using Lucene. So what, who cares? At Qdrant, we’re not retrofitting anything. We’re building a dedicated vector search engine - from the ground up. If someone wants to replicate what we do? Go ahead, we are #opensource. But here’s where it gets frustrating. We have put in the hard work building our community and attracting prominent people in the AI landscape to use our product and create content about it. We have built our Qdrant Stars program to engage with the community even closely. qdrant.tech/stars So, what does it have to do with Mongo? Well, they just made a clever shortcut and reached out to our Qdrant Stars program members and influencers from our community, making them an offer they could not decline. I do not blame the content creators, it is their daily work and it is an excellent opportunity for them, guys, I can totally understand you, no worries. But let's call it what it is: A multi-billion-dollar company is now trying to buy its way into a community built by an early-stage startup, not them. We don’t fear competition. But when the incumbents start copying your strategy and poaching your community, it says one thing loud and clear: We’re making the right people nervous. We’ll never outspend Mongo, and we don’t need to. We have something they can’t copy or buy: a fast-growing, mission-driven, technically superior open platform - and a community that sees through the noise. So to the engineers, researchers, and creators who believe in open innovation, performance that doesn’t compromise, and communities that are earned, not acquired: you know where to find us. And to the MongoDB marketing geniuses: take on Elastic, take on Redis, take on Oracle, and others of your calibre, but leave Qdrant and other startups like us alone. | 61 comments on LinkedIn
MongoDB For Startups
MongoDB for Startups offers free MongoDB Atlas credits, Voyage AI tokens, one-on-one technical advice, co-marketing opportunities, and access to our partner network.
Designing Data-Intensive Applications (DDIA) — an O’Reilly book by Martin Kleppmann (The Wild Boar Book)
NoSQL… Big Data… Scalability… CAP Theorem… Eventual Consistency… Sharding…
Welcome, Google Startups | MongoDB For Startups
We're excited to offer you access to the MongoDB for Startups program.
AWS, MongoDB, and the Economic Realities of Open Source
Amazon’s latest offering highlights the economic challenges facing open source companies — and Amazon should pay attention.
AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)
Against SQL
But SQL is the only widely-used implementation of the relational model, and it is:
Facebook, Amazon, Google, IBM and Microsoft come together to create the Partnership on AI | TechCrunch
The world's largest technology companies hold the keys to some of the largest databases on our planet. Much like goods and coins before it, data is
The Oxymoron of “Data-Driven Innovation”
Once upon a time, in the dawn of the internet era, web products came from college dudes. The dudes were almost always wealthy and well-connected, but they weren’t usually market-savvy. These …
The Great Open Source Shake-up
The past year and a half has seen a number of open source and open source-ish companies like Elastic, Confluent, and MongoDB change licenses on certain products, moving away from traditional open s…
OkCupid Study Reveals the Perils of Big-Data Science
The data of 70,000 OKCupid users is now searchable in a database. Ethicist Michael T Zimmer explains why it doesn't matter that it was "already public."
A Graph-Based Firebase
This essay covers the design behind Instant. If the schleps we face as UI engineers are actually database problems in disguise, would a database-looking solution solve them?
Semantic Data Modeling, Graph Query, and SQL, Together at Last?
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
