Databunker VS dgraph

https://databunker.org/ looks really interesting but I haven't found any Django or Python integrations as yet. Any thoughts?

I also have an open-source product in this field: https://databunker.org/

PS. Here is my tool: https://databunker.org/

This morning I was fortunate to listen to a podcast with Armon Dadgar . Armon is a #Hashicorp CTO and co-founder. I found inspiration in his words to what we do Privacybunker.IO. The matter is that we are also an open-source security vendor and we are building a standard tool for every company to store customer records and with the highest level of security and privacy compliance: https://databunker.org/.

So, according to Armon, the motivation for #Hashicorp was the following:

In a Pre #Oracle world, every company was building its own database.

Every company that manages any data had to build their own storage engine, their own query engine, their own everything.

This was a huge tax on the entire industry.

But once you have a set of vendors that provide standard SQL solutions, like Microsoft, Oracle, Sybase, etc... then you can build higher-level applications that consume the database.

For us (#Hashicorp), it felt like, where we are with our tools.

When we started, everyone was building their own platform, everyone was rolling its own approach to automation.

Shouldn't there be a set of vendors who sell that for you and you just operate it rather than building it?

Original podcast: https://lnkd.in/dh4R4xMe

About Databunker

Hi, I am an open-source developer working on Databunker: https://github.com/securitybunker/databunker.

More info: https://databunker.org/ https://github.com/securitybunker/databunker

Hi, I am an open-source developer working on Databunker. Today I got a question from one of the guys on a social network.

Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.

Dgraph (GraphQL, DQL)

Have you tried dgraph.io?

DGraph – A distributed GraphQL database with a graph backend.

How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?

Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes worker nodes were required.