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Prometheus VS The Data Product Portal

Compare Prometheus VS The Data Product Portal and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Prometheus logo Prometheus

An open-source systems monitoring and alerting toolkit.

The Data Product Portal logo The Data Product Portal

Open-source data product management tool for self-service governance👊
  • Prometheus Landing page
    Landing page //
    2021-10-13
Not present

Prometheus features and specs

  • Powerful Query Language
    Prometheus uses PromQL, a flexible and powerful query language that allows for complex and detailed queries.
  • Dimensional Data Model
    Prometheus employs a multidimensional data model with time series data identified by metric name and key-value pairs, offering great flexibility in data organization.
  • Auto-Discovery
    It supports service discovery mechanisms to automatically locate and scrape metrics from jobs, simplifying the monitoring process.
  • Alerting
    Prometheus includes built-in alerting capabilities that allow you to trigger alerts based on PromQL queries, which can be integrated with different alert management systems.
  • Scalability
    Its architecture, which uses independent single servers, scales well, allowing you to handle a large number of time series efficiently.
  • Open Source
    Prometheus is open-source and supported by a large community, offering transparency, regular updates, and numerous integrations.
  • Easy Integration
    Thanks to its compatibility with various data exporting standards and a myriad of existing exporters, integrating Prometheus into existing systems is streamlined.

Possible disadvantages of Prometheus

  • Single Points of Failure
    Prometheus instances operate independently, meaning that if a server goes down, the metrics it monitored will be unavailable unless replicated manually.
  • Storage Overhead
    Prometheus can consume significant storage, especially for high-resolution time series data, which might necessitate careful planning and management.
  • Limited Long-Term Storage
    By default, Prometheus is not designed for long-term storage of metrics and may require integration with other systems like Thanos or Cortex for this purpose.
  • Complexity for Beginners
    The sheer number of features and the complexities associated with PromQL can present a steep learning curve for newcomers.
  • Scaling Write Operations
    In high-scale environments, write operations might become a bottleneck due to the single-server nature of the Prometheus architecture.
  • Lack of Native High Availability
    While Prometheus supports running multiple instances, it does not provide built-in high availability features out-of-the-box, necessitating additional configurations.
  • No Built-in Authentication and Authorization
    Prometheus lacks native support for secure authentication and authorization, which means these features must be externally managed.

The Data Product Portal features and specs

No features have been listed yet.

Analysis of Prometheus

Overall verdict

  • Prometheus is highly regarded for its robustness, versatility, and efficiency in monitoring and alerting tasks, especially within cloud-native environments.

Why this product is good

  • Prometheus is a powerful open-source monitoring and alerting toolkit designed for reliability and scalability.
  • It excels at time-series data collection and querying, making it ideal for infrastructure and application monitoring.
  • Prometheus has a flexible query language, PromQL, which allows users to extract and manipulate data effectively.
  • The tool is widely adopted in the industry and has a strong community-driven ecosystem, ensuring consistent updates and support.
  • It integrates seamlessly with many other systems and services, such as Kubernetes, making it versatile across various environments.

Recommended for

  • Organizations seeking a reliable monitoring solution for dynamic cloud environments, such as Kubernetes.
  • Teams that require real-time alerting and data visualization capabilities.
  • Developers and DevOps professionals interested in leveraging a mature and active open-source monitoring tool.
  • Businesses aiming to monitor diverse and large-scale infrastructures with a flexible query system.

Prometheus videos

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How Prometheus Monitoring works | Prometheus Architecture explained

The Data Product Portal videos

No The Data Product Portal videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Prometheus and The Data Product Portal)

Prometheus

The Data Product Portal

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Analytics
0 0%
Data Analytics
100% 100
Log Management
100 100%
Log Management
0% 0
Data Management
0 0%
Data Management
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 Prometheus and The Data Product Portal

Prometheus Reviews

The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
The 10 Best Prometheus Alternatives 2024 Prometheus is one of the most well-known open-source monitoring tools out there. But is it right for you? Check out these Prometheus alternatives to find out.
Source: betterstack.com
Top 11 Grafana Alternatives & Competitors [2024]
Under the hood, Grafana is powered by multiple tools like Loki, Tempo, Mimir & Prometheus. SigNoz is built as a single tool to serve logs, metrics, and traces in a single pane of glass. SigNoz uses a single datastore - ClickHouse to power its observability stack. This makes SigNoz much better in correlating signals and driving better insights.
Source: signoz.io
GCP Managed Service For Prometheus vs. Levitate | Last9
Levitate is up to 30X cost-efficient compared with Google Managed Prometheus. This is possible because of warehousing capabilities such as data tiering, streaming aggregations, and cardinality controls, making it a much superior choice to Google Managed Prometheus.
Source: last9.io
The Best Open Source Network Monitoring Tools in 2023
Description: Prometheus is an open source monitoring solution focused on data collection and analysis. It allows users to set up network monitoring capabilities using the native toolset. The tool is able to collect information on devices using SNMP pings and examine network bandwidth usage from the device perspective, among other functinos. The PromQL system analyzes data...
Source: solutionsreview.com
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Prometheus and Grafana are used together as an open-source monitoring and alerting solution with support for Linux servers. Prometheus mainly collects the Linux hardware and OS metrics exposed by *nix kernel and then stores as time-series data, using a pull model over HTTP. You can find metrics information in a multi-dimensional data model of the timestamped metrics (i.e.,...
Source: sematext.com

The Data Product Portal Reviews

We have no reviews of The Data Product Portal yet.
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Social recommendations and mentions

Based on our record, Prometheus seems to be more popular. It has been mentiond 285 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.

Prometheus mentions (285)

  • Istio vs Linkerd: What’s the Best Service Mesh + API Gateway?
    Istio's Comprehensive Stack - Istio integrates with a complete Observability ecosystem: Kiali for visualizing service topology, Prometheus for metrics, Grafana for dashboards, and multiple tracing solutions. This gives you deep visibility into API traffic patterns, though it requires significant configuration effort. - Source: dev.to / about 1 month ago
  • Kubernetes Overview: Container Orchestration & Cloud-Native
    The standard observability stack includes Prometheus for metrics collection, Grafana for visualization, and AlertManager for notifications. For logging, consider Fluent Bit or Fluentd with Elasticsearch or cloud logging services. Jaeger or Zipkin provide distributed tracing for microservices debugging. - Source: dev.to / about 2 months ago
  • Crafting a High-Performance Dashboard with PostgreSQL Caching and Golang Scheduled Routines
    Pro tip: Use a monitoring tool like Prometheus to track refresh times and API response times. Check out Prometheus for setup details. - Source: dev.to / about 2 months ago
  • Autonomous SRE: Revolutionizing Reliability with AI, Automation, and Chaos Engineering
    Tools like Prometheus for metric collection and Grafana for visualization and alerting form the backbone of modern observability stacks, providing the raw data that AI/ML models can then process for predictive insights. - Source: dev.to / 3 months ago
  • Building an Online Code Compiler: A Complete Guide
    Prometheus - Metrics collection and alerting. - Source: dev.to / 3 months ago
View more

The Data Product Portal mentions (0)

We have not tracked any mentions of The Data Product Portal yet. Tracking of The Data Product Portal recommendations started around Jan 2025.

What are some alternatives?

When comparing Prometheus and The Data Product Portal, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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