Communications Outsourcing

Help Desk

Web and Video Conferencing

Customer Support

Text Editors

Development

Business Intelligence (BI)

Collaboration

Desktop Publishing

Diagramming

Interactive Voice Response (IVR)

Meeting Management

Operational Analytics

Project Portfolio Management

Enterprise

Accounting

Blockchain Payments

Cryptocurrency Mining

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employer of Record (EOR)

HR Management

Payroll

Stock Option Plan Administration

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Archiving

Cloud Storage

Continuous Delivery

Data Fabric

Endpoint Encryption

Enterprise Backup

File Sync and Share

Firewall

Fraud Detection

IT Service Management (ITSM)

Infrastructure Capacity Planning

Integration Platform as a Service (iPaaS)

Network Operating Systems

Network Performance Monitoring

Network Traffic Analysis (NTA)

Network Virtualization

Phishing Detection and Response

Virtual Desktop Infrastructure (VDI)

Voice Recognition

Web Application Firewalls

Web Scraping

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

Advertising Agency

All-in-One Marketing

Business Card Scanning

Content Management

Digital Experience Platforms (DXP)

Email Marketing

Graphics

Location Intelligence

Marketing Automation

Social Media Management

Survey & Forms Building

Translation

Web Analytics

Marketing

Professional Services Automation

Project Management

Professional Services

Customer Relationship Management (CRM)

Proposal

Sales

Operational Technology (OT) Security

Security

Auto Repair

Camp Management

HIPAA Compliance

Homeowner's Association (HOA) Management

Legal Research

Municipal

Trucking Software

Vertical-Specific

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Fast Data Delivery: Many users have been amazed by the superfast query response of Presto, indicating its highly efficient handling of data queries.

Flexible Data Access: Users appreciate the flexibility of Presto in adapting to query translations and connecting with multiple data sources like HIVE and MySQL. This wide range of options for accessing and analyzing different types of data is highly valued by reviewers.

User-Friendly Interface: Reviewers find Presto to be a well-known SQL engine in the database industry, highlighting its organization and ease of querying data objects. The user-friendly interface and SQL syntax make it easy for users to work with Presto.

Complexity with ElasticSearch DB integration: Some users have found Presto to be complex when dealing with ElasticSearch DB and translating it into stat. They have reported difficulties in understanding the process and navigating through it.

Difficulty in finding all products: Several reviewers have mentioned that it is challenging to locate all their products in Presto. This has caused frustration and inefficiency when trying to access specific items within the platform.

Limitations with drop and delete statements: Users have expressed frustration over the limitations of drop and delete statements in Presto, making it difficult for them to rely solely on the platform for end-to-end work. These limitations have hindered their ability to efficiently manage and manipulate data within Presto.

Presto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases.

Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.

Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.

Amazon RDS for MySQL

Amazon RDS for PostgreSQL

Amazon RDS for MariaDB

Amazon RDS for Oracle

Amazon RDS for SQL Server

Amazon Relational Database Service (RDS)

TeamDesk is a low-code development platform for online database creation. Business owners or managers can build a unique web database solution without any programming to facilitate working with data, organize routine work and create an accessible data source for teams.

Starter Edition

Team Edition

Enterprise Edition

TeamDesk

Presto

A relational database is a database structured to recognize relations among stored items of information.

Relational Databases

Presto Poplite Hot Air Popcorn Popper Demo

Orville Redenbacher Hot Air POPCORN MAKER Popper By Presto DEMO

PROSES MEMASAK LONTONG & SUP BUNTUT MENGGUNAKAN PRESTO LISTRIK SIGNORA. PRAKTIS, AMAN DAN HIGIENIS.

SIGNORA PRESTO LISTRIK DEMO 1 (OFFICIAL VIDEO 2013)

PRESTO CHANGE-O! By Edouard Manceau - Book Demo Video

Presto FryDaddy 1 Quart Deep Fryer Demo - Fries & Shrimp

Presto HeatDish Review And Demo

Quick Presto Overview and  Demo with Tableau

Presto Knife Sharpener (08810) Review & Demo

Quick demonstration of the Presto 6 cup percolator coffee maker [model 02822]. 

This stainless steel coffeemaker brews 2 to 6 small five ounce cups and 1 to 3 larger 12 ounce mugs.
A full pot takes around 8 minutes to complete. Always use cold water for best results! 

Using the filter is not necessary but does keep the grinds out of the coffee. You can also use large basket style filters as well so long as you fold the top over the grinds. 

Please Share & Subscribe!!

Presto 6 Cup Stainless Steel Coffee Maker Demo

Ultima Cosa Presto Luxe Plus 5L Air Fryer Unboxing and Testing Demo Review 2020 | XKUBE Connects

はつゆきさくら DEMO ムービー （2012 サガプラネッツ、主題歌:I've・歌:KOTOKO、ムービー:ろど）

SIGNORA PRESTO LISTRIK DEMO 2 (OFFICIAL VIDEO 2013)

SIGNORA PRESTO LISTRIK DEMO 6 (OFFICIAL VIDEO 2013)

Likelihood to Recommend

Open Source

Planificación y realidad

Planificación y realidad. Diagrama de barras.

Puede solicitrar más información en https://www.rib-software.es/pages/info.htm

OpenText Vertica

Apache Pig

Teradata Hadoop for the Enterprise

Apache Kafka

Engineering Manager - Ride Experience

Presto 2017-08-06 19:25:19

Adobe PhotoShop

Insider Growth Management Platform (GMP)

Consumer Sales & Sevice Manager

Presto 2017-03-23 09:23:29

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Design elements

Easier to understand

Use cases

Resource allocation

Takes longer

Incredibly fast

Sql language

Highly flexible

Plug and play

Adding images

Data sources

Quick easy

Different data

Easy to use

Different data sources

Home

Presto is used at Uuber for ad-hoc querying on datasets and also for a few data driven applications. It is used across the entire organization to make data driven decisions, reporting, experimentation analysis etc. Presto provides a scalable, fast distributed query engine and we use it on top of HDFS.

Fast - Presto, is incredibly fast due to its optimized query engine and is well suited for interactive analysis.
Flexible - Presto is highly flexible as it operates with a plug and play model for data sources. Joining and query across different data sources is very easy with presto (eg. HDFS, MySQL, Kafka).
ANSI Sql - Presto follows ANSI SQL which is the recognized SQL language and hence helps allow easy query migration without much overhead.
Large Fact + Small Dimension table joins made fast - By design presto excels most distributed query engines out there in this type of queries.

Presto was not designed for large fact fact joins. This is by design as presto does not leverage disk and used memory for processing which in turn makes it fast.. However, this is a tradeoff..in an ideal world, people would like to use one system for all their use cases, and presto should get exhaustive by solving this problem.
Resource allocation is not similar to YARN and presto has a priority queue based query resource allocation..so a query that takes long takes longer...this might be alleviated by giving some more control back to the user to define priority/override.
UDF Support is not available in presto. You will have to write your own functions..while this is good for performance, it comes at a huge overhead of building exclusively for presto and not being interoperable with other systems like Hive, SparkSQL etc.

Presto has helped scale Uber's interactive data needs. We have migrated a lot out of proprietary tech like Vertica.
Presto has helped build data driven applications on its stack than maintain a separate online/offline stack.
Presto has helped us build data exploration tools by leveraging it's power of interactive and is immensely valuable for data scientists.

Presto is used as our story publisher via The Des Moines Register and Gannett sites. We build, edit, and design story layout and publish to our website. My Marketing Group mainly uses Presto for our Insider program - this is a template of offers, deals &amp; events exclusively for our subscribers.

Linking, embedding links and adding images is easy enough.
Once you have become familiar with the interface, Presto becomes very quick & easy to use (but, you have to practice & repeat to know what you are doing - it is not as intuitive as one would hope).
Organizing & design is fairly simple with click & drag parameters.

HCI - Intuitively there are quite a few design elements I was unsure of before I got enough practice.
Curating Fronts - should have an auto-organize element so you don't need to move each front.
Save, Publish & Unpublish options should be easier to understand.
Presto should have a copy feature.

Our Insider program continues to grow - Presto is definitely not a hinderance.
Gannett corporate pays for the Presto services for all of the Gannett Newspaper sites - i have no input on ROI.
We do not use Presto to gain NEW subscribers.

Presto
Formerly Presto DB

Overview

What is Presto?