incubator-kyuubi VS Trino

Compare incubator-kyuubi vs Trino and see what are their differences.

incubator-kyuubi

Apache Kyuubi is a distributed multi-tenant JDBC server for large-scale data processing and analytics, built on top of Apache Spark (by apache)

Trino

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) (by trinodb)
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incubator-kyuubi Trino
1 9
839 4,460
12.2% 6.2%
9.8 10.0
3 days ago about 13 hours ago
Scala 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.

incubator-kyuubi

Posts with mentions or reviews of incubator-kyuubi. We have used some of these posts to build our list of alternatives and similar projects.

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 2021-07-29.
  • Learn SQL
    1 project | news.ycombinator.com | 3 Aug 2021
    You might find https://trino.io/ interesting. It allows you to bolt on a MPP SQL execution engine on top of any data source including pre-built connectors for Druid and Kafka.

    It's all ANSI SQL and the best part is you can combine data from heterogenous sources. e.g. You can join data between a topic in Kafka and a table in Druid or even between Kafka, S3 and your RDBMS.

    Disclaimer: I'm a maintainer of the project.

  • What even is data mesh
    2 projects | news.ycombinator.com | 29 Jul 2021
    Not central to the main ideas of this article, but if you want to have a data mesh that is self-service, why force folks to use a particular storage medium like a data warehouse? That still requires centralization of the data.

    Why not instead have a tool like Trino (https://trino.io) that allows you to let different domains use whatever datastore they happen to use. You still would need to enforce schema, but this can be done in tools like schema registry as mentioned in the article along with a data cataloging tool.

    These tools facilitate the distributed nature of the problem nicely and encourage healthy standards to be discussed and the formalized in schema definitions and catalogs that remove the ambiguity of discourse and documentation.

    Nice example is laid out in this repo of how Trino can accomplish data mesh principles 1 and 3 (https://github.com/findinpath/trino_data_mesh).

  • What is Cost-based Optimization?
    4 projects | dev.to | 2 Jun 2021
    In Presto/Trino, the cost is a vector of estimated CPU, memory, and network usage. The vector is also converted into a scalar value during comparison.
  • Looking for Feedback: Open Source SQL-in-Markdown Reporting tool
    2 projects | reddit.com/r/SQL | 1 Jun 2021
    Love it! I'd like it to be able to talk to Trino. I'm not sure if there's a driver for node but I could help build it.
  • ClickHouse: An open-source column-oriented database management system
    5 projects | news.ycombinator.com | 27 May 2021
    Take a look at query engines like Trino (formerly PrestoSQL) [https://trino.io/]. (Disclaimer: I'm a contributor to Trino).

    I used it at a previous job to combine data from MongoDB, Kafka, S3 and Postgres to great effect. It tries to push-down as many operations as possible to the source too to improve performance.

    Full ANSI SQL support over multiple number of backends (Kafka, Cassandra, Postgres, ClickHouse, S3 and many more).

    The best part is it has a plugin ecosystem so you can very easily implement your own connectors and all the heavy lifting gets done by the core-engine while your plugin only has to abstract your backend to concepts that the engine can understand.

  • Why hasn't Presto become industry standard?
    1 project | news.ycombinator.com | 1 Apr 2021
    * Active-active HA is not really necessary IMO as Trino is designed for low latency interactive queries in general. It can handle longer running batch queries but it gives up fault tolerance to fail fast and you just resubmit the query vs predecessors like Hive, Spark, etc... that handle ETL and long running batch processes efficiently but this adds complexity to the query to checkpoint the work. I could see the need for an active-passive HA to have on deck during a failure. Setting up your own active-passive HA is as simple as putting two coordinators behind a proxy and pointing your workers to the proxy address. Then you basically have the proxy run health checks and flip over in the event of an outage. Here's the issue to track native HA though https://github.com/trinodb/trino/issues/391.
  • Speeding up SQL queries by orders of magnitude using UNION
    1 project | news.ycombinator.com | 20 Mar 2021
  • How does AWS Athena manage to load 10GB/s from s3? I've managed 230 mb/s from a c6gn.16xlarge
    1 project | reddit.com/r/aws | 16 Mar 2021
    Checkout https://trino.io (formerly Presto) but is what Athena is based off of. Essentially parallelism allows for this so there’s many worker nodes all reading from S3. You can also run Presto on EMR which is sort of fun looking at the admin UI because it will show you how it breaks the query into parts and fans the work out to worker nodes. Pretty cool because if allowed to (from a resource management perspective), Presto will try to saturate the entire cluster CPU resources to compete the query as fast as possible.
  • Looking for paid contributors to open-source project
    1 project | reddit.com/r/golang | 17 Feb 2021
    To a purpose-built in-memory database based on Trino (https://trino.io/)

What are some alternatives?

When comparing incubator-kyuubi and Trino you can also consider the following projects:

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Apache Drill - Apache Drill is a distributed MPP query layer for self describing data

dremio-oss - Dremio - the missing link in modern data

Apache Calcite - Apache Calcite

ClickHouse - ClickHouse® is a free analytics DBMS for big data

cockroach - CockroachDB - the open source, cloud-native distributed SQL database.

hudi - Upserts, Deletes And Incremental Processing on Big Data.

trino_data_mesh - Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh

clickhousedb_fdw - PostgreSQL's Foreign Data Wrapper For ClickHouse

Presto - The official home of the Presto distributed SQL query engine for big data

AranoDB - The official ArangoDB Java driver.

QueryStream - Build JPA Criteria queries using a Stream-like API