scaliendb VS Aerospike

Hey man, don't worry, it will be all right!

About ~10 years ago in 2012-2013, within a ~6 month period (i) my startup [1] which I've been doing for 4 years failed / we shut it down (ii) my wife left, and a few months later told me that she'd been cheating on me.

There was a ~6 month period when I was very depressed, sometimes I wasn't able to sleep for multiple nights in a row, even when I got sleep, it was a few hours at best. It was a truly terrible period, I felt humiliated and reduced to nothing. I looked at my friends with stable boring jobs and families and thought that I messed up big time. I was so depressed, I even went to church a couple of times Sunday morning, because I couldn't sleep and I felt so sorry for myself, even though I'm an agnostic physicist.

Then something really unexpected happened: I got a job at a successful startup [2], which had great culture and people, and suddenly I was partying 2x a week with great people. While I was doing my own startup I stopped doing sports, so I picked up a +15 kg. The depression helped me lose most of it, and since I suddenly had a lot of free-time (no startup, no wife), I started doing sports again [3]. Even more unexpected, being divorced turned out to be appealing to ladies (I jokingly call it the "wounded deer" phenomenon), so I suddenly had ladies sending me signals.

Overall, in another ~6 months, to my huge surprise, there was a huge turn-around in my life, and in the end 2013 became one of the best years in my life! It was super-surprising, because it started on such a downer (Jan-6 was when my wife told me it's over, next day she moved out), but by Q3 I was hooked up with my girlfriend [4], feeling super happy at work and I even did another Ironman that year!

So... it's completely normal to feel depressed in such situations. Just give it some time, build yourself up, and find a good social situation. I personally also started a Phd, which I didn't finish because of the aforementioned startup, but I don't want to tell you to do that. You can potentially create positive vibes around you even by going to a co-working place 2x a week, doing some team sports, etc.

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[1] https://github.com/scalien/scaliendb

Aerospike for LINQPad 7 is a data context dynamic driver for interactively querying and updating an Aerospike database using “LINQPad”. The driver is free. For more information go to this blog post. You can directly download the driver from the LINQPad NuGet manager.

Aerospike is a real-time cloud structured platform with good performance capabilities. This IMDB platform allows enterprises to perform their operations in real time through the hybrid memory and parallelism model.

Block storage stores a sequence of bytes in a fixed size block (page) on a storage device. Each block has a unique hash that references the address location of the specified block. Unlike a filesystem, block storage doesn't have the associated metadata such as format-type, owner, date, etc. Also, block storage doesn’t use the conventional storage paths to access data like a filesystem file. This reduction in overhead contributes to improved overall access speeds when using raw block devices. The ability to store bytes in blocks allows applications the flexibility to decide how these blocks are accessed and managed, making block storage an ideal choice for low latency databases such as Aerospike. From a developer's perspective, a block device is simply a large array of bytes, usually with some minimum granularity for reads and writes. In Aerospike this granularity is configured and referred to as the write-block-size. The Aerospike Kubernetes Operator uses the storage infrastructure software inside of Kubernetes and the need for data platforms to use raw block storage becomes ever more important.

This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.

Real-time large-scale JSON applications need reliably fast access to data, high ingest rates, powerful queries, rich document functionality, scalability with no practical limit, always-on operation, and integration with streaming and analytical platforms. They need all this at low cost. The Aerospike Real-time Data Platform provides all this functionality, making it a good choice for building such applications. The Collection Data Types (CDTs) in Aerospike provide powerful support for modeling, organizing, and querying a large JSON document store. Visit the tutorials and code sandbox on the Developer Hub to explore the capabilities of the platform, and play with the Document API and query capabilities for JSON.