Crate
Presto
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| Crate | Presto | |
|---|---|---|
| 6 | 14 | |
| 3,955 | 15,591 | |
| 1.4% | 0.9% | |
| 9.9 | 9.9 | |
| 7 days ago | about 21 hours ago | |
| Java | Java | |
| 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.
Crate
- FLaNK AI - 01 April 2024
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Creating an advanced search engine with PostgreSQL
I'm wondering if CrateDB [https://github.com/crate/crate] could fit your use case.
It's a relational SQL database which aims for compatibility with PostgreSQL. Internally it uses Lucene as a storage and such can offer fulltext functionality which is exposed via MATCH.
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Distributed query execution in CrateDB: What you need to know
A logical execution plan does not take into account the information about data distribution. CrateDB is a distributed database and data is sharded: a table can be split into many parts - so-called shards. Shards can be independently replicated and moved from one node to another. The number of shards a table can have is specified at the time the table is created.
- Parser generators vs. handwritten parsers: surveying major languages in 2021
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Querying time series data with SQL: examples
PD: If you liked this post... We'd really appreciate a ⭐️ in Github!
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What is CrateDB? 🤔 FAQ
But there's nothing better than trying things by yourself... So Download CrateDB, experiment, and tell us what you think! 😁
Presto
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Multi-Database Support in DuckDB
We have some of this functionality in Presto (https://github.com/prestodb/presto), but it takes fair bit of work to implement it for all the different backends.
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Rust std:fs slower than Python
Note that glibc has a similar problem in multithreaded contexts. It strands unused memory in thread-local pools, which grows your memory usage over time like a memory leak. We got lower memory usage that didn't grow over time by switching to jemalloc.
Example of this: https://github.com/prestodb/presto/issues/8993
- Ask HN: What are some SQL transpilers?
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Cheat sheet for quotes usage?
I look at the grammar. Here is preto's grammar which is mostly similar to other sql engines: https://github.com/prestodb/presto/blob/master/presto-parser/src/main/antlr4/com/facebook/presto/sql/parser/SqlBase.g4
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After a few recent events, opening a Linux terminal in public places is a big no-no
export MVNW_VERBOSE=true git clone https://github.com/prestodb/presto.git cd presto bash ./mvnw clean install
- presto: The official home of the Presto distributed SQL query engine for big data
- Compile the Minecraft Server (Java Edition) to Native with GraalVM Native Image
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What are y'all learning right now?
more specifically, recently started learning about Presto [paper], and have been diving deeper into [source] code.
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Presto
- Let's write a compiler, part 5: A code generator
What are some alternatives?
OrientDB - OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
Apache Phoenix - Apache Phoenix
jOOQ - jOOQ is the best way to write SQL in Java
Apache Calcite - Apache Calcite
Flyway - Flyway by Redgate • Database Migrations Made Easy.
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
sql2o - sql2o is a small library, which makes it easy to convert the result of your sql-statements into objects. No resultset hacking required. Kind of like an orm, but without the sql-generation capabilities. Supports named parameters.
Spring Data JPA - Simplifies the development of creating a JPA-based data access layer.