david_p
Joined 16 years ago
Joined 16 years ago
Docker desktop on mac does not work well (uses lots of resources) and my current alternative is OrbStack (very slick, uses far less resources, but freemium).
I feel awkward about all this probably-LLM-generated prose that does not respect me enough as a reader to explain acronyms and give context.
On of their strengths is the ability of thiel to raise lots of money, and win huge gov contracts by convincing everyone that what he built is magic. it is not.
palantir is regular enterprise software. morally, they are vilains for sure, but their superpower is being excellent at marketing themselves.
TL;DR: we’re the European competitor to Palantir. We build and deploy our data intelligence platform in the World’s biggest organisations (governments, financial institutions, NGOs, industry groups, etc.).
Tech: we are centered on graph visualization with a swappable graph database backend (neo4j, neptune, memgraph, google spanner). Our stack is full typescript (nodejs, angular).
We are looking for someone who can contribute to our nodejs app while also improving our developer experience by contributing code & config to our jenkins/kubernetes/argocd/nexus stack.
If you want to know more, please get in touch here: https://linkurious.recruitee.com/o/backend-productivity-engi...
Context: I’m the CTO of a GraphViz company, I’ve been doing this for 10+ years.
Here are my recommendations:
- if you can generate a projection of your graph into millions of nodes, you might be able to get somewhere with Three.js, which is a JS library to generate WebGL graphics. The library is close enough to the metal to allow you to build something large and fast.
- if you can get the data below 1M nodes, your best shot is Ogma (spoiler: my company made it). It scales well thanks to WebGL and allows for complex interactions. It can run a graph layout on the GPU in your browser. See https://doc.linkurious.com/ogma/latest/examples/layout-force...
- If you want to keep your billions of nodes but are OK with not seeing the whole graph at once, my company builds Linkurious. It is an advanced exploration interface for a graph stored in Neo4j (or Amazon Neptune). We believe that local exploration up to 10k nodes on screen is enough, as long as you can run graph queries and full-text search queries against the whole graph with little friction. See https://doc.linkurious.com/user-manual/latest/running-querie...
I’m assuming GP meant DPO, for Data Protection Officer, the person responsible for enforcing GDPR (or similar laws) in a company.
We were using MNM (midnight modeler) and POVRay to create some cool 3D models on my schools 386 computers.
I was dreaming of, one day, working at ILM. Good memories :)
GQL was normalized in April 2024. Here is the link: https://www.gqlstandards.org/
I have been working with graph databases for years now: these databases had to solve this problem from day one, because of the focus on relationships between entities.
I must point out that Neo4j was the first to propose a syntax that made traversal feel simple and natural again: the Cypher query language.
Neo4 and other industry players have spent years working on a new standard query language for graph databases that was released in April this year: GQL. GQL is the first database query language normalized by ISO since SQL, so it’s a big deal.
Anyway, if you wanna learn more about GQL, that a look at https://www.gqlstandards.org/
I currently use photoprism, which is good, but i’m always on the look for a great self-hosted photo app.