Badger Alternatives
Similar projects and alternatives to badger
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buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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Bitcask
🔑 A high performance Key/Value store written in Go with a predictable read/write performance and high throughput. Uses a Bitcask on-disk layout (LSM+WAL) similar to Riak.
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embedded-postgres
Run a real Postgres database locally on Linux, OSX or Windows as part of another Go application or test
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server
ToroDB Server is an open source NoSQL database that runs on top of a RDBMS. Compatible with MongoDB protocol and APIs, but with support for native SQL, atomic operations and reliable and durable backends like PostgreSQL (by torodb)
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TypeScript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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prisma1
💾 Database Tools incl. ORM, Migrations and Admin UI (Postgres, MySQL & MongoDB)
badger reviews and mentions
- Embedded database options
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CockroachDB: The Resilient Geo-Distributed SQL Database
Out of curiosity, why write https://github.com/cockroachdb/pebble and not just use https://github.com/dgraph-io/badger?
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Quitting Dgraph Labs
While I never used dgraph, I do use badger and ristretto and am similarly in a bind over their long-term survival (moreso badger than ristretto)...
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Embedded write-heavy on-disk cache, write-amplification
At the time we have selected it, we have compared it with BoltDB but that completely failed to fit the bill as it had abysmal write performance. I recall we've also compared it with BadgerDB, but at the time the latter was in its infancy so we had to rule it out.\ These days I'd recommend to give it a close look.
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What's your approach to understand an open source codebase enough to contribute?
Hey all, just wondering what tips and tricks work for you guys when learning about a project and making contributions to it. Specially if the project has a few years of history and is fairly complex, something like BadgerDB.
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Recommendation for Key/Value storage
BoltDB and Badger are the most popular options. If you don't want to use a third-party package you'll have to reinvent it. Still, you can use one of these two as examples. You'll also find plenty of tutorials online, like this one.
Built in maps. Or something more fancy like redis or badger https://github.com/dgraph-io/badger
- GitHub – FerretDB/FerretDB: A truly open-source MongoDB alternative
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What is "the go way" for File-based cache in multiple plattforms (UNIX and Windows mainly)?
I’m pretty sure Badger is cross platform. It’s embedded, so I don’t see any reason why not.
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Options for storing relational data
FWIW, if you are looking for a KV store, I have used badger and badgerhold which adds some nice things (the search is nice).
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The Stack #2
But the reason I find Dgraph appealing more is cause the underlying store is Badger which is made using Golang and hence does come with its own set of advantages and performance gains. On top of this, Dgraph is not the only store which uses badger which makes it even more exciting to use.
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Show HN: Volument – Our take on website analytics
We're using nats.io for event streaming and pub/sub. The sessions are aggregated in memory, then they go to Badger (https://github.com/dgraph-io/badger), and finally the daily aggregates are easily distributable and immutable JSON files.
We're setting a session identifier to sessionStorage and those id's are wiped out once the session is processed and leaves the server memory. We worked together with a privacy specialist to ensure this is not violating GDPR. Details on what/how we collect data is here:
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Need help in choosing a database - Postgres or BadgerDB
Badger is very fast K/V store. Many projects use badger including the tracing tool Jaeger. However, distribution would be something you'd have to build outside of Badger, as that is beyond its scope. (git repo: https://github.com/dgraph-io/badger)
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About App Engine and Storage.
A new Google Cloud user here. I need a very simple disk persistence storage for my Go app on App Engine. And so I plan to use badger.
Stats
dgraph-io/badger is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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