Trino
clickhousedb_fdw
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| Trino | clickhousedb_fdw | |
|---|---|---|
| 44 | 2 | |
| 9,552 | 197 | |
| 3.1% | 2.5% | |
| 10.0 | 0.0 | |
| 4 days ago | over 3 years ago | |
| Java | C | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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Trino
- Trino: Fast distributed SQL query engine for big data analytics
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Game analytic power: how we process more than 1 billion events per day
We decided not to waste time reinventing the wheel and simply installed Trino on our servers. It’s a full featured SQL query engine that works on your data. Now our analysts can use it to work with data from AppMetr and execute queries at different levels of complexity.
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Your Thoughts on OLAPs Clickhouse vs Apache Druid vs Starrocks in 2023/2024
DevRel for StarRocks. Trino doesn't have a great caching layer (https://github.com/trinodb/trino/pull/16375) and performance (https://github.com/trinodb/trino/issues/14237) and https://github.com/oap-project/Gluten-Trino. In benchmarks and community user testing, StarRocks has outperformed.
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Making Hard Things Easy
What if my SQL engine is Presto, Trino [1], or a similar query engine? If it's federating multiple source databases we peel the SQL back and get... SQL? Or you peel the SQL back and get... S3 + Mongo + Hadoop? Junior analysts would work at 1/10th the speed if they had to use those raw.
[1] https://trino.io/
- Trino, a open query engine that runs at ludicrous speed
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Questions about Athena, Trino and Iceberg
The good thing is that the concepts in terms to the SQL supported by Trino transfers between them all. So its completely reasonable to start with one and move to another. In fact that is something that happens regularly. I invite to you check out the talks from the Trino Fest event that is just wrapping up today. There are presentations about all these aspects and different scenarios users encounter. All videos and slides will go live on the Trino website soon. Also feel free to join the Trino slack to chat about about all this with other users.
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Multi-Databases across Multiple Servers - MySQL
There are distributed query engines like Trino that help with this sort of problem https://trino.io/
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Iceberg on Cloudtrail Logs with Athena
This issue in particular is a killer for me: https://github.com/trinodb/trino/issues/10974
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Data Lake, Real-time Analytics, or Both? Exploring Presto and ClickHouse
AFAIK Presto was forked and Trino https://trino.io/ is now the leading SQL Query engine .
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Apache Iceberg as storage for on-premise data store (cluster)
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie.
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)
What are some alternatives?
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
pirsch - Pirsch is a drop-in, server-side, no-cookie, and privacy-focused analytics solution for Go.
dremio-oss - Dremio - the missing link in modern data
meilisearch-js-plugins - The search client to use Meilisearch with InstantSearch.
Presto - The official home of the Presto distributed SQL query engine for big data
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Apache Calcite - Apache Calcite
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
duckdf - 🦆 SQL for R dataframes, with ducks