VeloxDB Fast Object oriented DB for C#

Hacker News

This is a project I have been working on with some friends for some time. We left our jobs in March to pursue it full-time, and now we have something to show. We built a database called VeloxDB (Velox means speed in Latin). VeloxDB is a fast, object-oriented, in-memory database for C# with an emphasis on correctness. Let me give a quick breakdown of all the terms involved: • "Fast": The whole database is built with performance in mind. We achieve 2.5 million ACID write transactions with an AWS c6a.8xlarge compute instance. • "Object-oriented": The DB offers an object-oriented interface, giving you an ORM-like experience. Your code is deployed within the database, reducing the overhead of communicating with the database to a minimum. • "In-memory": The entire dataset has to fit in memory, so if you have a 30GB database, you need 30GB of RAM. The data is still persisted on disk, so there is no data loss if the server crashes. • "For C#": The ORM API is primarily designed for C#, although it should work with any .NET language (F#/VB). • "Emphasis on correctness": The database is fully ACID, with no eventual consistency. The database is still in beta phase, and any feedback is very welcome! The source can be found at https://github.com/VeloxDB/VeloxDB .

Visit product View on Hacker NewsJan 16, 2023

Share card

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Quite Fast, sharded cache for Go with LRU/LFU, TTL and object pooling56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quite Fast, sharded cache for Go with LRU/LFU, TTL and object pooling

Hacker News12

I, Object Demystifying the Ruby Object Ancestry37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I, Object Demystifying the Ruby Object Ancestry

Hacker News2

Object.freeze() for Go39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Object.freeze() for Go

Hacker News1

Harris–Object Oriented Redux48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Harris–Object Oriented Redux

Hacker News3

Dson.go – Doge Serialized Object Notation in Go42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dson.go – Doge Serialized Object Notation in Go

Hacker News1

Dson.go – Doge Serialized Object Notation in Go42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dson.go – Doge Serialized Object Notation in Go

Hacker News2

BlobCity DB44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BlobCity DB

Hacker News37

The Whois DB44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Whois DB

Hacker News2

Ajqvue Covid-19 SQLite DB56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ajqvue Covid-19 SQLite DB

Hacker News1

LCON – Ludicrously Compact Object Notation50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LCON – Ludicrously Compact Object Notation

Hacker News35

Browse all products Analyze your launch