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CLICK AI VS Presto DB

Compare CLICK AI VS Presto DB and see what are their differences

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CLICK AI logo CLICK AI

CLICK AI is an all-in-one artificial intelligence solution that provides many functions such as data collection, preprocessing, artificial intelligence modeling, prescriptive analysis, future prediction, and other functions with no coding required.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • CLICK AI Landing page
    Landing page //
    2022-01-12

No need to hire AI developers or specialists to introduce new technology and diversify your business. This platform allows anyone to create deep learning-based AI models fast, with high accuracy, and without limitation by AI type/industry group.

With CLICK AI, you can use multiple data modeling features such as:

  • Automated Modeling
  • Classification
  • Image Classification
  • National Language Processing
  • Object Detection
  • Regression
  • Time Series Prediction
  • And much more!
  • Presto DB Landing page
    Landing page //
    2023-03-18

CLICK AI features and specs

  • AI Powered
  • AI Analytics
  • Data Import/Export
  • No Coding Skills Required

Presto DB features and specs

  • High-Performance Query Engine
    Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.
  • Distributed SQL Query Engine
    Presto can scale out to large clusters of machines, allowing for efficient distribution of queries over multiple servers to handle big data workloads.
  • Versatility
    Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.
  • ANSI-SQL Compatibility
    Presto supports ANSI SQL, making it easier for users familiar with SQL to adapt and write queries without a steep learning curve.
  • Open Source
    Presto is an open-source project, which means it benefits from continuous community contributions and improvements, keeping it up-to-date and robust.
  • Extensible
    Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.

Possible disadvantages of Presto DB

  • Resource Intensive
    High performance comes with significant resource requirements, necessitating robust infrastructure to realize its full potential.
  • Complex Configuration
    Setting up and configuring Presto can be complex and time-consuming, often requiring expertise and an understanding of its various components.
  • Limited Support for Transactions
    Presto is primarily designed for reading data and performing analytics, and it has limited support for transactional processing compared to traditional relational databases.
  • Community Support
    While it has a vibrant open-source community, users may find the support less comprehensive than that provided by commercial enterprise solutions.
  • Latency for Small Queries
    Designed for big data and complex queries, Presto may exhibit higher latency for small, simple queries compared to specialized databases optimized for such use cases.
  • Maintenance Overhead
    Managing and maintaining a Presto cluster can be labor-intensive, requiring ongoing tuning and maintenance to ensure optimal performance and reliability.

CLICK AI videos

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[INTRODUCTION TO CLICK AI] Experience CLICK AI, the best AI tool with just a few clicks!

Presto DB videos

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Category Popularity

0-100% (relative to CLICK AI and Presto DB)

CLICK AI

Presto DB

AI
100 100%
AI
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using CLICK AI 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 10 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.

CLICK AI mentions (0)

We have not tracked any mentions of CLICK AI yet. Tracking of CLICK AI recommendations started around Mar 2021.

Presto DB mentions (10)

  • Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms 📦
    Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community. - Source: dev.to / 12 days ago
  • Introduction to Presto: Open Source SQL Query Engine that's changing Big Data Analytics
    In today's data-driven world, organizations face a constant challenge: how to analyse massive datasets quickly and efficiently without moving data between disparate systems. Presto, an open-source distributed SQL query engine that's revolutionizing how we approach big data analytics. - Source: dev.to / 12 days ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Presto: Presto is an open-source distributed SQL query engine that enables querying data from various sources. It provides fast and interactive analytics capabilities, supporting a wide range of data formats and integration with different storage systems. - Source: dev.to / 27 days ago
  • Using IRIS and Presto for high-performance and scalable SQL queries
    The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known... - Source: dev.to / 4 months ago
  • 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 3 years ago
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What are some alternatives?

When comparing CLICK AI and Presto DB, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

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.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

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

Neuro - Instant infrastructure for machine learning

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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