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Badger Reviews and details

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  • Badger Landing page
    Landing page //
    2023-10-22

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The Honey Badger

World of Tanks || FV217 Badger - Tank Preview

Wild Badger 26cc WBMT26P 4 in 1 multi tool review and USE

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Badger and what they use it for.
  • GORM
    I' see that I'm also set to check out BadgerDB next. https://github.com/dgraph-io/badger. Source: about 1 year ago
  • Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
    Some example of embeddable database could be genji, badger and boltdb. Source: about 1 year ago
  • Butter from two CoWs: making a key-value store with btrfs
    As I mentioned in a comment above you could probably just use AgageDb (Rust implementation of Badger which is a single file high performance KVP store. Turn off all of its built-in transactional behaviour and see how fast it runs on BTRFS using reflinks instead. Source: over 1 year ago
  • Is there a nice embedded json db, like PoloDB (Rust) for Golang
    I use Badger a lot, it doesn’t do much but it’s fast. Source: over 1 year ago
  • What's the big deal about key-value databases like FoundationDB ands RocksDB?
    Very cool! In a similar vein Distributed Services with Go [0] works through SST creating a KV store. I found it helpful for working with BadgerDB [1]. [0] https://pragprog.com/titles/tjgo/distributed-services-with-go/ [1] https://github.com/dgraph-io/badger. - Source: Hacker News / over 1 year ago
  • Show HN: Kvass, a personal key-value store
    Curious why you chose sqlite instead of something like [badger](https://github.com/dgraph-io/badger) given you expose it as a key value database, which badger is. - Source: Hacker News / almost 2 years ago
  • Open Source Databases in Go
    Https://github.com/dgraph-io/badger is a LSM-based key-value store. Source: almost 2 years ago
  • How do you cache big results?
    Use something like a redis server with a Go module or a disk based Key/Value database (badger possibly)? Source: almost 2 years ago
  • 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? - Source: Hacker News / about 2 years ago
  • 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)... Source: about 2 years ago
  • 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. Source: over 2 years ago
  • 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. Source: over 2 years ago
  • 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. Source: over 2 years ago
  • Recommendation for Key/Value storage
    Built in maps. Or something more fancy like redis or badger https://github.com/dgraph-io/badger. Source: over 2 years ago
  • 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. Source: over 2 years ago
  • 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). Source: over 2 years ago
  • 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. - Source: dev.to / over 2 years ago
  • 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... - Source: Hacker News / almost 3 years ago
  • 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). Source: almost 3 years ago
  • 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. Source: about 3 years ago

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This is an informative page about Badger. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.