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Presto DB VS Google Cloud Monitoring

Compare Presto DB VS Google Cloud Monitoring and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

Google Cloud Monitoring logo Google Cloud Monitoring

Gain visibility into the performance, uptime, and overall health of cloud-powered apps on Google Cloud and other cloud or on-premises environments.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • Google Cloud Monitoring Landing page
    Landing page //
    2023-08-01

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.

Google Cloud Monitoring features and specs

  • Integration with Google Cloud Platform
    Google Cloud Monitoring offers seamless integration with other Google Cloud services, allowing for unified monitoring and easy setup for users already using Google Cloud products.
  • Comprehensive Metrics and Alerts
    It provides a wide range of metrics and customizable alerts, enabling users to closely monitor their applications and systems for any issues and take proactive measures.
  • Custom Dashboards
    Users can create custom dashboards to visualize important metrics in a way that makes sense for their specific needs, enhancing the ability to quickly spot trends and anomalies.
  • Scalability
    The platform is designed to scale easily, handling the needs of both small applications and large, complex systems without a loss in performance or manageability.
  • Built-In Logging and Tracing
    Google Cloud Monitoring integrates with Google Cloud Logging and Cloud Trace, providing deeper insights by correlating logs and traces with metrics.

Possible disadvantages of Google Cloud Monitoring

  • Complexity for New Users
    For users who are not already familiar with Google Cloud Platform, the initial learning curve can be quite steep due to the vast array of features and settings.
  • Cost
    While there is a free tier, the pricing can become expensive as usage grows, especially for larger deployments that require advanced features and more data processed.
  • Limited Third-Party Integrations
    Compared to some dedicated monitoring solutions, Google Cloud Monitoring may have fewer integrations with third-party services and tools, which can be a limitation for some users.
  • Regional Availability
    Some features may have limited availability depending on the region, which could affect users operating in locations where certain services are not fully supported.
  • Potential for Information Overload
    Due to the comprehensive range of metrics and notifications, users may find themselves overwhelmed with information if dashboards and alerts are not carefully configured.

Analysis of Presto DB

Overall verdict

  • PrestoDB is considered a strong choice for organizations needing to perform fast and complex analytic queries. Its ability to execute SQL queries on big data at lightning speeds makes it an attractive tool for data-driven organizations. However, the choice of PrestoDB depends on specific use cases, existing infrastructure, and the team's familiarity with its architecture and operational demands.

Why this product is good

  • PrestoDB is a highly-regarded distributed SQL query engine that excels in speed and efficiency for querying large datasets. It's designed for running interactive analytic queries against data sources of all sizes. Some of its core strengths include its ability to query data across a wide variety of sources, scalability, and strong community support. It's often chosen for its capability to integrate seamlessly in environments requiring fast data processing and analysis without the need to move or transform data extensively.

Recommended for

    PrestoDB is ideal for technology firms, data-driven companies, and organizations in need of real-time data analytics. It is especially well-suited for those with existing big data frameworks (like Hadoop, Kafka, and Cassandra) who require a performant query engine to leverage large datasets efficiently. It's recommended for teams familiar with distributed systems who need the flexibility and speed offered by PrestoDB's architecture.

Presto DB videos

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Google Cloud Monitoring videos

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Cloud Monitoring in a minute

More videos:

  • Tutorial - How to Get Started with Google Cloud Monitoring

Category Popularity

0-100% (relative to Presto DB and Google Cloud Monitoring)

Presto DB

Google Cloud Monitoring

Data Dashboard
100 100%
Data Dashboard
0% 0
Dev Ops
0 0%
Dev Ops
100% 100
Database Tools
100 100%
Database Tools
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

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Social recommendations and mentions

Presto DB might be a bit more popular than Google Cloud Monitoring. We know about 10 links to it since March 2021 and only 7 links to Google Cloud Monitoring. 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 / 5 months 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 / 5 months 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 / 6 months 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 / 9 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 / over 3 years ago
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Google Cloud Monitoring mentions (7)

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What are some alternatives?

When comparing Presto DB and Google Cloud Monitoring, you can also consider the following products

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

Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

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.

Cortex Project - Horizontally scalable, highly available, multi-tenant, long term Prometheus.

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.

Google Cloud Functions - A serverless platform for building event-based microservices.

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