Software Alternatives, Accelerators & Startups

Presto DB VS GMDH Shell

Compare Presto DB VS GMDH Shell and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

GMDH Shell logo GMDH Shell

Powerful forecasting software for small businesses, traders and scientists.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • GMDH Shell Landing page
    Landing page //
    2023-08-04

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.

GMDH Shell features and specs

  • Ease of Use
    GMDH Shell offers a user-friendly interface that simplifies the process of data analysis, making it accessible for users with varying levels of technical expertise.
  • Automated Modeling
    The software provides automated model selection, making it easier and faster to find the best models for forecasting and prediction tasks without extensive manual intervention.
  • Versatile Application
    GMDH Shell can be applied to various industries, including finance, supply chain, and marketing, offering diverse functionalities like time series forecasting and data mining.
  • High Accuracy
    The tool is known for its high accuracy in predictive modeling, often leading to reliable and actionable insights.
  • Data Handling
    It can handle large datasets efficiently, which is critical for businesses dealing with significant amounts of data.

Possible disadvantages of GMDH Shell

  • Cost
    GMDH Shell can be expensive, particularly for small businesses or individual users who may have limited budgets.
  • Limited Customization
    While the software is automated, this can sometimes limit the level of customization for expert users who want to fine-tune models beyond the options provided.
  • Learning Curve
    Despite its user-friendly interface, there can still be a learning curve for users unfamiliar with data analysis or machine learning concepts.
  • Dependency on Automatic Processes
    The heavy reliance on automated processes may lead to a lack of understanding of the underlying model behavior and decision-making for some users.
  • Connectivity and Integration
    Integration with other software tools and platforms might be limited, potentially complicating workflows that require multiple software solutions.

Presto DB videos

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GMDH Shell videos

Time Series Forecasting with GMDH Shell

Category Popularity

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Data Dashboard
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Data Science And Machine Learning
Database Tools
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Data Science Tools
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User comments

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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.

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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GMDH Shell mentions (0)

We have not tracked any mentions of GMDH Shell yet. Tracking of GMDH Shell recommendations started around Mar 2021.

What are some alternatives?

When comparing Presto DB and GMDH Shell, 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 Mahout - Distributed Linear Algebra

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

KNIME - KNIME, the open platform for your data.

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.

WEKA - WEKA is a set of powerful data mining tools that run on Java.