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Presto DB VS JAMS Scheduler

Compare Presto DB VS JAMS Scheduler and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

JAMS Scheduler logo JAMS Scheduler

Enterprise workload automation software supporting processes on Windows, Linux, UNIX, iSeries, SAP, Oracle, SQL, ERPs and more.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • JAMS Scheduler Landing page
    Landing page //
    2023-04-23

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.

JAMS Scheduler features and specs

  • Comprehensive Job Scheduling
    JAMS Scheduler offers a wide range of scheduling capabilities that can handle complex and diverse job requirements across various platforms and applications.
  • Cross-platform Compatibility
    It supports multiple operating systems and environments, allowing seamless scheduling of jobs in heterogeneous IT landscapes.
  • Advanced Automation
    JAMS allows for extensive automation, reducing the need for manual intervention and thereby minimizing errors and increasing efficiency.
  • Scalability
    The software is highly scalable, making it suitable for businesses of all sizes, from small enterprises to large corporations.
  • Robust Integration Options
    JAMS integrates well with many third-party applications and systems, enhancing its utility and flexibility.
  • User-friendly Interface
    The software provides an intuitive interface that eases job scheduling and management for users of all skill levels.

Possible disadvantages of JAMS Scheduler

  • Complexity for New Users
    Due to its extensive features, new users may find it complex to understand and utilize the full capabilities of the software without substantial training.
  • Cost
    JAMS Scheduler might be costly for small businesses or startups, particularly when considering additional support and maintenance expenses.
  • Resource Intensive
    Running JAMS Scheduler can be resource-intensive, potentially requiring significant server and network resources to maintain optimal performance.
  • Customization Limitations
    While it offers many features, there might be limitations in customizing specific solutions to fit unique business needs completely.
  • Dependency on Vendor Support
    Users might become reliant on vendor support to resolve technical issues, which could be inconvenient depending on their response times.

Presto DB videos

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JAMS Scheduler videos

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Job Creation In Jams

Category Popularity

0-100% (relative to Presto DB and JAMS Scheduler)

Presto DB

JAMS Scheduler

Data Dashboard
100 100%
Data Dashboard
0% 0
IT Automation
0 0%
IT Automation
100% 100
Database Tools
100 100%
Database Tools
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Presto DB and JAMS Scheduler

Presto DB Reviews

We have no reviews of Presto DB yet.
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JAMS Scheduler Reviews

9 Control-M Alternatives & Competitors In 2023
JAMS offers reliable enterprise support to host your Workflow. JAMS supports workflow activities, which allows you to integrate JAMS into your workflow business processes.
Source: www.softwaretestingmaterial.com

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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JAMS Scheduler mentions (0)

We have not tracked any mentions of JAMS Scheduler yet. Tracking of JAMS Scheduler recommendations started around Mar 2021.

What are some alternatives?

When comparing Presto DB and JAMS Scheduler, 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.

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

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

Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.

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.

ActiveBatch - Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

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