Software Alternatives & Reviews

Presto DB VS Rakam

Compare Presto DB VS Rakam and see what are their differences

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

Rakam logo Rakam

Custom analytics platform
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • Rakam Landing page
    Landing page //
    2022-01-21

Presto DB videos

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Rakam videos

Jasmine Kena Halau dari Kedai?? Padah sesuka hati rakam tempat orang tanpa izin

More videos:

  • Review - Eedo Rakam Aado Rakam Movie Public Response / Review || Vishnu, Sonarika, Raj Tarun, Hebah Patel
  • Review - REVIEW GoPro HERO 9 BLACK : BUKA KOTAK TERUS RAKAM VIDEO GUNA GoPRO HERO 9 BLACK

Category Popularity

0-100% (relative to Presto DB and Rakam)
Data Dashboard
57 57%
43% 43
Database Tools
59 59%
41% 41
Big Data Analytics
53 53%
47% 47
Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Presto DB should be more popular than Rakam. It has been mentiond 6 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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Rakam mentions (1)

  • Show HN: Lightdash – An open source Looker alternative
    Well done! I was actually looking for an open source LookML a while back and found Rakam[0]. It seems they added the dbt layer after the fact while you started with that concept. Product looks slick, good luck? By the way, what happened with Hubble? 0 - https://rakam.io/. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Presto DB and Rakam, 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.

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

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.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Informatica - As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.

Concurrent - Concurrent is a technology solution providing real-time computing solutions for businesses and individuals.