buntdb
CouchDB
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buntdb | CouchDB | |
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7 | 27 | |
4,390 | 6,015 | |
- | 1.0% | |
0.0 | 9.5 | |
28 days ago | 4 days ago | |
Go | Erlang | |
MIT License | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
buntdb
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PostgreSQL: No More Vacuum, No More Bloat
Experimental format to help readability of a long rant:
1.
According to the OP, there's a "terrifying tale of VACUUM in PostgreSQL," dating back to "a historical artifact that traces its roots back to the Berkeley Postgres project." (1986?)
2.
Maybe the whole idea of "use X, it has been battle-tested for [TIME], is robust, all the bugs have been and keep being fixed," etc., should not really be that attractive or realistic for at least a large subset of projects.
3.
In the case of Postgres, on top of piles of "historic code" and cruft, there's the fact that each user of Postgres installs and runs a huge software artifact with hundreds or even thousands of features and dependencies, of which every particular user may only use a tiny subset.
4.
In Kleppmann's DDOA [1], after explaining why the declarative SQL language is "better," he writes: "in databases, declarative query languages like SQL turned out to be much better than imperative query APIs." I find this footnote to the paragraph a bit ironic: "IMS and CODASYL both used imperative query APIs. Applications typically used COBOL code to iterate over records in the database, one record at a time." So, SQL was better than CODASYL and COBOL in a number of ways... big surprise?
Postgres' own PL/pgSQL [2] is a language that (I imagine) most people would rather NOT use: hence a bunch of alternatives, including PL/v8, on its own a huge mass of additional complexity. SQL is definitely "COBOLESQUE" itself.
5.
Could we come up with something more minimal than SQL and looking less like COBOL? (Hopefully also getting rid of ORMs in the process). Also, I have found inspiring to see some people creating databases for themselves. Perhaps not a bad idea for small applications? For instance, I found BuntDB [3], which the developer seems to be using to run his own business [4]. Also, HYTRADBOI? :-) [5].
6.
A usual objection to use anything other than a stablished relational DB is "creating a database is too difficult for the average programmer." How about debugging PostgreSQL issues, developing new storage engines for it, or even building expertise on how to set up the instances properly and keep it alive and performant? Is that easier?
I personally feel more capable of implementing a small, well-tested, problem-specific, small implementation of a B-Tree than learning how to develop Postgres extensions, become an expert in its configuration and internals, or debug its many issues.
Another common opinion is "SQL is easy to use for non-programmers." But every person that knows SQL had to learn it somehow. I'm 100% confident that anyone able to learn SQL should be able to learn a simple, domain-specific, programming language designed for querying DBs. And how many of these people that are not able to program imperatively would be able to read a SQL EXPLAIN output and fix deficient queries? If they can, that supports even more the idea that they should be able to learn something different than SQL.
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1: https://dataintensive.net/
2: https://www.postgresql.org/docs/7.3/plpgsql-examples.html
3: https://github.com/tidwall/buntdb
4: https://tile38.com/
5: https://www.hytradboi.com/
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Is there a nice embedded json db, like PoloDB (Rust) for Golang
https://github.com/tidwall/buntdb -> i think this one you might want
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Open Source Databases in Go
buntdb - Fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support.
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Alternative to MongoDB?
BuntDB for NoSQL
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Path hints for B-trees can bring a performance increase of 150% – 300%
BuntDB [0] from @tidwall uses this package as a backing data structure. And BuntDB is in turn used by Tile38 [1]
[0] https://github.com/tidwall/buntdb
- The start of my journey learning Go. Any tips/suggestions would greatly appreciated!
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In-memory caching solutions
I've used BuntDB and had a great experience with it. It's basically just a JSON-based key-value store. I'm a huge fan of the developers other work (sjson, gjson, jj, etc) and stumbled on it while looking for a simple, embedded DB solution. It's not specifically a cache, though--just a simple DB, so you'd have to write the caching logic yourself.
CouchDB
- Why SQLite is so great for the edge
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Creating an offline node.js app, but what can I use as a database?
CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline.
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How to run WebAssembly from your Rust Program
Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on replication and reliability. One of the most significant differences between CouchDB and a relational database (besides the absence of tables and schemas) is how you query data. Relational databases allow their users to execute arbitrary and dynamic queries via SQL. Each SQL query may look completely different than the previous one. These dynamic aspects are significant for use cases where you work exploratively with your dataset but don't matter as much in a web context. Additionally, defining an index for a specific table is optional. Most developers will define indices to boost performance, but the database does not require it.
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Erlang: The coding language that finance forgot
I just turns out you can't always do that in a real codebase. For example see here:
https://github.com/apache/couchdb/blob/23efd8e5b1aa96ef01640fec03a5fedc945ba8b9/src/couch_mrview/src/couch_mrview_http.erl#L228
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System Design: The complete course
Example: Apache Cassandra, CouchDB.
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Help need for Third Year Computer Science Project which is a dating website.
For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with.
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PDF Reviewer (3) - The Architecture
The Apache CouchDB server. It stores Annotation data.
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Database of Databases
CouchDB
- [AskJS] technology stack for PWA, ServiceWorker and offline first web app?
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How would you implement online offline db sync?
You can implement the sync algorithm from scratch, or you can use tools like CouchDB and turtleDB to help you.
What are some alternatives?
bolt
Riak - Riak is a decentralized datastore from Basho Technologies.
badger - Fast key-value DB in Go.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
nutsdb - A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set.
RethinkDB - The open-source database for the realtime web.
go-memdb - Golang in-memory database built on immutable radix trees
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
goleveldb - LevelDB key/value database in Go.
Apache Cassandra - Mirror of Apache Cassandra
ledisdb - A high performance NoSQL Database Server powered by Go
Appwrite - Build like a team of hundreds_