db-scheduler
Persistent cluster-friendly scheduler for Java (by kagkarlsson)
Trino
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) (by trinodb)
| db-scheduler | Trino | |
|---|---|---|
| 6 | 44 | |
| 1,120 | 9,597 | |
| - | 2.0% | |
| 6.8 | 10.0 | |
| 16 days ago | 1 day ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
db-scheduler
Posts with mentions or reviews of db-scheduler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-20.
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Open source Job Scheduler Library in java for high throughput
In java we have found Quartz( Quartz) , Job Runr(Jobrunr) and db-scheduler(db-scheduler) and need to evaluate these for our use case.
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JobRunr: A library for background processing in Java
db-scheduler is also worth checking out: https://github.com/kagkarlsson/db-scheduler
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Migrating quartz to jobrunr
I've been using db-scheduler in a Spring Boot project and am very happy with it.
- Suggestions for a distributed job queue lib?
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Concurrent cron jobs?
You might like https://github.com/kagkarlsson/db-scheduler as a simpler alternative for Quartz. It supports JDBC-able databases as backend but also allows your own implementations for task repository.
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Cluster friendly task scheduler for NodeJS
Hi everyone. I’m looking for a cluster-friendly task scheduler for NodeJS, something similar to https://github.com/kagkarlsson/db-scheduler for Java. Been surprisingly difficult to find one. So far Agenda is the only one that comes close, however I’d like to avoid MongoDB/Redis as the persistence layer if possible. Any recommendations?
Trino
Posts with mentions or reviews of Trino.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-16.
- 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.
What are some alternatives?
When comparing db-scheduler and Trino you can also consider the following projects:
JobRunr - An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
shedlock - Distributed lock for your scheduled tasks
dremio-oss - Dremio - the missing link in modern data
Wisp - A simple Java Scheduler library with a minimal footprint and a straightforward API
Presto - The official home of the Presto distributed SQL query engine for big data
easy-batch - The simple, stupid batch framework for Java
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
PowerJob - Enterprise job scheduling middleware with distributed computing ability.
Apache Calcite - Apache Calcite
incubator-dolphinscheduler - Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
ClickHouse - ClickHouse® is a free analytics DBMS for big data