Software Alternatives & Reviews

Presto DB VS Apache Calcite

Compare Presto DB VS Apache Calcite and see what are their differences

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

Apache Calcite logo Apache Calcite

Relational Databases
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • Apache Calcite Landing page
    Landing page //
    2022-04-30

Presto DB videos

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Apache Calcite videos

The Evolution of Apache Calcite and its Community - A Discussion with Julian Hyde

More videos:

  • Review - Building modern SQL query optimizers with Apache Calcite - Vladimir Ozerov

Category Popularity

0-100% (relative to Presto DB and Apache Calcite)
Data Dashboard
95 95%
5% 5
Databases
56 56%
44% 44
Database Tools
90 90%
10% 10
Big Data Analytics
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Calcite should be more popular than Presto DB. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Presto DB mentions (6)

  • Parsing logs from multiple data sources with Ahana and Cube
    Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 2 years ago
  • Can a data warehouse be skipped?
    Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: about 2 years ago
  • why use Redshift if we can use S3 to store data and can connect with Quicksight for dashboarding?
    So there is Presto, which is a distributed SQL engine created by Facebook. Source: about 2 years ago
  • Understanding AWS Athena 101
    You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 years ago
  • ETL tool for query building across multiple databases in Mongo DB
    Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago
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Apache Calcite mentions (12)

  • Data diffs: Algorithms for explaining what changed in a dataset (2022)
    > Make diff work on more than just SQLite. Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).... - Source: Hacker News / 9 months ago
  • How to manipulate SQL string programmatically?
    Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST. Source: 12 months ago
  • Parsing SQL
    One parser I think deserves a mention is the one from Apache Calcite[0]. Calcite does more than parsing, there are a number of users who pick up Calcite just for the parser. While the default parser attempts to adhere strictly to the SQL standard, of interest is also the Babel parser, which aims to be as permissive as possible in accepting different dialects of SQL. Disclaimer: I am on the PMC of Apache Calcite,... - Source: Hacker News / over 1 year ago
  • Semantic Diff for SQL
    Apache Calcite can do this, though it's not a beginner-friendly task: https://calcite.apache.org/. - Source: Hacker News / over 1 year ago
  • OctoSQL allows you to join data from different sources using SQL
    You should look at Apache Calcite[0]. Like OctoSQL, you can join data from different data sources. It's also relatively easy to add your own data sources ("adapters" in Calcite lingo) and rules to efficiently query those sources. Calcite already has adapters that do things like read from HTML tables over HTTP, files on your file system, running processes, etc. This is in addition to connecting to a bunch of... - Source: Hacker News / almost 2 years ago
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What are some alternatives?

When comparing Presto DB and Apache Calcite, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Apache Drill - Schema-Free SQL Query Engine for Hadoop and NoSQL

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

DSQ - Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. - GitHub - multiprocessio/dsq: Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and ...