frostdb
parquet-go
| frostdb | parquet-go | |
|---|---|---|
| 5 | 4 | |
| 1,210 | 333 | |
| 1.1% | - | |
| 9.5 | 0.0 | |
| 3 days ago | 9 months ago | |
| Go | Go | |
| Apache License 2.0 | 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.
frostdb
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Polar Signals Cloud Is Generally Available
> In addition to that we built a custom columnar database
I did some digging in your blog history and it seems that is referencing https://www.polarsignals.com/blog/posts/2022/07/22/frostdb-i... and digging into the "but why?" section <https://github.com/polarsignals/frostdb#why-you-should-use-f...> seems to imply you favored the embedded feature over having something standalone, but I would enjoy hearing (or reading a blog post!) about why you felt it was a better use of your engineering to make your own columar DB versus using one of the existing columanr dbs that I have seen referenced a ton in other Show HN announcements around both logging and metrics services
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anyone have experience writing data to parquet files? Is there a better alternative for storing large amounts of financial tick data?
We use clickhouse, but i would take a look at https://github.com/polarsignals/frostdb
- Open Source Databases in Go
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ArcticDB: A Database for Observability
Hey all, one of the creators of ArcticDB here. We're going to be around for a while and answer any questions you might have about it!
It's open source so if you just want to check out the repo: https://github.com/polarsignals/arcticdb
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arcticDB: embedded columnar database written in Go
Direct link to the DB project -> https://github.com/polarsignals/arcticdb
parquet-go
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anyone have experience writing data to parquet files? Is there a better alternative for storing large amounts of financial tick data?
segmentio/parquet-go
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Oracle DB support in Benthos
github.com/segmentio/parquet-go -> it's early days but his library is looking very promising for building applications that read or write parquet data, which was a major pain point not that long ago
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ArcticDB: A Database for Observability
Finally seeing Apache Parquet and Apache Arrow used with Go efficiently and effectively!
Great job. Looking forward to exploring this more in the Prometheus and CNCF Ecosystem.
The underneath library used (https://github.com/segmentio/parquet-go) looks amazing too!
- High-performance Go library to manipulate parquet files
What are some alternatives?
column - High-performance, columnar, in-memory store with bitmap indexing in Go
parquet-go - pure golang library for reading/writing parquet file
clover - A lightweight document-oriented NoSQL database written in pure Golang.
ristretto - A high performance memory-bound Go cache
marketstore - DataFrame Server for Financial Timeseries Data
encoding - Go package containing implementations of efficient encoding, decoding, and validation APIs.
levigo - levigo is a Go wrapper for LevelDB
go-ora - Pure go oracle client
Iris - The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio :rocket:
InfluxDB - Scalable datastore for metrics, events, and real-time analytics