cockroach VS ApacheKafka

CockroachDB is an open source distributed SQL database designed for scalability and resilience. While it offers SQL databases, CockroachDB is also compatible with PostgreSQL.

cockroachdb might be close: https://github.com/cockroachdb/cockroach

CockroachDB - SQL

For example, when you create a serverless postgres database with a platform like CockroachDB or Neon, you effectively get a connection string with a strong password. Anyone can connect to your database from anywhere so long as they have the right connection string. There are no security settings in these services to change this behavior.

> Yes you can on the android emulator. The biggest issue is compu arch in that case.

I can also download VirtualBox and run all Windows programs, that would mean that all Windows apps are Linux apps?

> Yes you can for the most part

You can't statically link glibc: https://github.com/cockroachdb/cockroach/issues/3392

glibc can break stuff: https://www.gamingonlinux.com/2022/08/valve-dev-understandab...

I had binaries break because the newer version if openssl was put under a slightly different name.

Also, worth noting, if you're already using PostgreSQL (or plan to) you might want to take a look at https://www.cockroachlabs.com/ they have a free tier too and CockroachDB has a PostgreSQL interface.

I know that some projects like cockroach use custom build tools like bazel. But we actually really like to use to be able to build our projects simply with the great go toolchain and don't really aim to dive deep into custom build solutions.

CockroachDB is designed to be globally distributed. It has to handle causality when resolving collisions. It has to account for having a write operation to arrive after another and still have time priority because it was sent out a few milliseconds earlier.

Cockroachdb created a go runtime patch which measures the Grunning time of a goroutine: https://github.com/cockroachdb/cockroach/pull/82356. It doesn't entirely solve the problem though.

Our entire backend is written in Go. We've built a platform that allows other companies to offer automatic data syncing to their customers' data warehouses. Go works great for building distributed systems like this (see K8s). We're not the only ones in the space building data intensive applications with Go. Pachyderm, Pinecone, Cockroach Labs and are all also doing it. We've been quite happy with how Go has worked for us.

Senden an Kafka (d. h. Senden der Daten an Apache Kafka)

Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.

Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time.

*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)

RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput.

Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.

also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.