buntdb
InfluxDB
buntdb | InfluxDB | |
---|---|---|
7 | 28 | |
4,396 | 27,848 | |
- | 0.9% | |
0.0 | 9.9 | |
about 1 month ago | about 17 hours ago | |
Go | Rust | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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
-
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.
----
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/
-
Is there a nice embedded json db, like PoloDB (Rust) for Golang
https://github.com/tidwall/buntdb -> i think this one you might want
-
Open Source Databases in Go
buntdb - Fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support.
-
Alternative to MongoDB?
BuntDB for NoSQL
-
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!
-
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.
InfluxDB
-
Quant Research of the Week (5th Edition)
Scalable Realtime Datastore: The piece examines a scalable datastore specifically created for metrics events and real-time analytics. (2013-09-26, shares: 26787.0)
- InfluxDB is an open source time series database written in Rust
-
InfluxDB CTO: Why We Moved from Go to Rust
How does one upgrade from v2 beta to the latest v2? The docs for doing that seem to no longer exist https://github.com/influxdata/influxdb/issues/24393
- InfluxDB 3 is out, OSS commits have been tried up - is this the end?
-
InfluxDB dashboard column order
Here is the GitHub issue for sorting/specifying column order: https://github.com/influxdata/influxdb/issues/15957
-
reduct-storage alternatives - minio and InfluxDB
3 projects | 4 Oct 2022
- A practical approach to structuring Golang applications
-
What do you use InfluxDB for in your APIs?
And InfluxDB Github commit history histogram is telling its story https://github.com/influxdata/influxdb/graphs/contributors
-
What is the coolest Go open source projects you have seen?
InfluxDB
- Open Source Databases in Go
What are some alternatives?
bolt
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
badger - Fast key-value DB in Go.
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
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.
prometheus - The Prometheus monitoring system and time series database.
go-memdb - Golang in-memory database built on immutable radix trees
Graphite - A highly scalable real-time graphing system
goleveldb - LevelDB key/value database in Go.
Squirrel - Fluent SQL generation for golang
ledisdb - A high performance NoSQL Database Server powered by Go
RRDtool - RRDtool 1.x - Round Robin Database