EchoVault, Embeddable in-memory store to replace Redis in Go apps

Hacker News

Hi everyone, Over the last year, I’ve been working on building EchoVault. EchoVault is an in-memory data store that is both client-server over TCP and completely embeddable within a Go application: Current Features: 1) TLS and mTLS support for multiple server and client RootCAs. 2) Replication cluster support using the RAFT algorithm. 3) ACL Layer for user Authentication and Authorization. 4) Distributed Pub/Sub functionality with consumer groups. 5) Sets, Sorted Sets, Hashes, Lists and more. 6) Persistence layer with Snapshots and Append-Only files. 7) Various Key Eviction Policies. 8) Command extension via shared object files. 9) Command extension via embedded API. There are many more features in the pipeline, such as: 1) Sharding 2) Streams 3) Bitmap 4) HyperLogLog 5) Lua Modules EchoVault is fully RESP compatible over TCP, so you can use your existing Redis clients to communicate with an EchoVault server. Why does this exist? Here are some of the reasons I decided to build EchoVault: 1) Redis is lightweight but still an external service you must run. EchoVault allows you to embed an in-memory store offering a subset of Redis functionality embedded into your application, so you don’t have to worry about managing a separate service. 2) EchoVault removes the need to handle a Redis replication cluster. The embedded instances of EchoVault can connect to form a cluster with a simple configuration. So, each instance of your application can use the embedded API while EchoVault takes care of the replication for you. 3) Since Redis’ license shenanigans earlier this year, I believe EchoVault will be able to fill a role, particularly in the Go ecosystem. EchoVault is Apache 2.0 licenced. 4) EchoVault aims to make Redis redundant in many use cases where Redis would usually fit in Go applications or ecosystems. Over time, we aim to make this list of use cases longer and longer. Possible user cases for EchoVault You can use EchoVault in many of the same scenarios you’d use Redis, including but not limited to: 1) Service discovery. 2) In-memory data caching. 3) Session management (across multiple instances of your application). 4) Publish/Subscribe workflows 5) Unordered key/value storage. Check out the GitHub repository, and feel free to leave a start if you like the project: https://github.com/EchoVault/EchoVault Contributions are welcome, too!

Visit product View on Hacker NewsMay 20, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

87%87% 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.

Indie HackersFits the IH revenue-focused audience · Strong signals: para, ios, including · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: ios, apps, para · Missing: mobile apps, personal, entrepreneurs

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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

Tail.select 1.0.0 is out (replace your dropdowns now)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tail.select 1.0.0 is out (replace your dropdowns now)

Hacker News2

Topaz – replace three Azure emulators with one binary29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Topaz – replace three Azure emulators with one binary

Hacker News1

Emojify – Replace variable identifiers with emojis33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Emojify – Replace variable identifiers with emojis

Hacker News4

Replace Anything AI40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Replace Anything AI

Hacker News4

Unwrap_or_AI – replace unwrap() with AI guesses for errors32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unwrap_or_AI – replace unwrap() with AI guesses for errors

Hacker News4

Distributed In-Memory data-store build with Go56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Distributed In-Memory data-store build with Go

Hacker News2

One System56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Replace 5 apps with one linked Notion workspace.

Indie Hackerscommitment-full-time

I made a tool that will replace frameworks44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool that will replace frameworks

Hacker News3

Dynoweb32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Replace GA + Hotjar + CRO tools with one.

Indie Hackers1ai

Cerium – Yet, another ls-like util that is not trying to replace ls38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cerium – Yet, another ls-like util that is not trying to replace ls

Hacker News1

Browse all products Analyze your launch