clickhousedb_fdw
duckdf
clickhousedb_fdw | duckdf | |
---|---|---|
2 | 3 | |
197 | 41 | |
2.5% | - | |
0.0 | 0.0 | |
over 3 years ago | 4 months ago | |
C | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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clickhousedb_fdw
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ClickHouse: An open-source column-oriented database management system
Maybe you could do something with postgres foreign data wrappers?
For example this exists, not sure about maturity though https://github.com/Percona-Lab/clickhousedb_fdw
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ClickHouse as an alternative to Elasticsearch for log storage and analysis
* you can go the other way too: read Clickhouse from PostgreSQL (see https://github.com/Percona-Lab/clickhousedb_fdw, although we didn't try this)
duckdf
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DuckDB – in-process SQL OLAP database management system
Quite a while ago, when duckdb was just a duckling, I wrote an R package that supported direct manipulation of R dataframes using SQL.[1] duckdb was the engine for this.
The approach was never as fast as data.table but did approach the speed of dplyr for more complex queries.
Life had other things in store for me and I haven’t touched this library for a while now.
At the time there was no Julia connector for duckdb, but now that there is, I’d like to try this approach in that language.
[1] https://github.com/phillc73/duckdf
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ClickHouse as an alternative to Elasticsearch for log storage and analysis
Yeah, I agree sqldf is quite slow. Fair point.
As you've seen, duckdb registers an "R data frame as a virtual table." I'm not sure what they mean by "yet" either.
Of course it is possible to write an R dataframe to an on-disk duckdb table, if that's what you want to do.
There are some simple benchmarks on the bottom of the duckdf README[1]. Essentially I found for basic SQL SELECT queries, dplyr is quicker, but for much more complex queries, the duckdf/duckdb combination performs better.
If you really want speed of course, just use data.table.
[1] https://github.com/phillc73/duckdf
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Julia 1.6: what has changed since Julia 1.0?
That's a really good point that I'd not really thought about. I'd never really considered the difference between calling just functions versus macros.
Thinking about Query.jl and DataFramesMeta.jl, and I am for sure not an expert in either, I can't specifically speak to your `head` example, but other base functions can be combined with macros. For example, see the LINQ examples from DataFramesMeta.jl[1] where `mean` is being used. Or again the LINQ style examples in Query.jl[2], where `descending` is used in the first example, or `length` later in the Grouping examples.
Is that the kind of thing you meant?
For whatever reason, with the way my brain is wired, the LINQ style of query just works for me. I have never directly used LINQ, but do have some SQL experience. In fact, I wrote some dinky little wrapper functions[3] around duckdb[4] so I could directly query R dataframes and datatables with SQL using that backend, rather than sqldf[5].
[1] https://juliadata.github.io/DataFramesMeta.jl/stable/#@linq-...
[2] https://www.queryverse.org/Query.jl/stable/linqquerycommands...
[3] https://github.com/phillc73/duckdf
[4] https://duckdb.org/
[5] https://cran.r-project.org/web/packages/sqldf/index.html
What are some alternatives?
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
tidyquery - Query R data frames with SQL
pirsch - Pirsch is a drop-in, server-side, no-cookie, and privacy-focused analytics solution for Go.
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
meilisearch-js-plugins - The search client to use Meilisearch with InstantSearch.
julia - The Julia Programming Language
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
loki - Like Prometheus, but for logs.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Makie.jl - Interactive data visualizations and plotting in Julia
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow