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@RISK VS Presto DB

Compare @RISK VS Presto DB and see what are their differences

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Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance. featured
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@RISK logo @RISK

@RISK is the world's most widely used risk analysis tool.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • @RISK Landing page
    Landing page //
    2023-10-17
  • Presto DB Landing page
    Landing page //
    2023-03-18

Category Popularity

0-100% (relative to @RISK and Presto DB)

@RISK

Presto DB

Governance, Risk And Compliance
100 100%
Governance, Risk And Compliance
0% 0
Data Dashboard
17 17%
Data Dashboard
83% 83
Technical Computing
100 100%
Technical Computing
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using @RISK and Presto DB. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Presto DB seems to be more popular. 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.

@RISK mentions (0)

We have not tracked any mentions of @RISK yet. Tracking of @RISK recommendations started around Mar 2021.

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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What are some alternatives?

When comparing @RISK and Presto DB, you can also consider the following products

Oracle Risk Management Cloud - Oracle Risk Management helps to document risks and enforce controls as an integral part of your ERP Cloud deployment

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.

SAI360 - GRC Platforms

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

Aptible - Aptible is a secure, private cloud deployment platform built to automate HIPAA compliance.

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.

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