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Prometheus VS .NET for Apache Spark

Compare Prometheus VS .NET for Apache Spark and see what are their differences

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Prometheus logo Prometheus

An open-source systems monitoring and alerting toolkit.

.NET for Apache Spark logo .NET for Apache Spark

.NET for Apache Spark™ provides C# and F# language bindings for the Apache Spark distributed data analytics engine. Supported on Linux, macOS, and Windows.
  • Prometheus Landing page
    Landing page //
    2021-10-13
  • .NET for Apache Spark Landing page
    Landing page //
    2023-05-23

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.

.NET for Apache Spark features and specs

No features have been listed yet.

Prometheus videos

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How Prometheus Monitoring works | Prometheus Architecture explained

.NET for Apache Spark videos

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Category Popularity

0-100% (relative to Prometheus and .NET for Apache Spark)

Prometheus

.NET for Apache Spark

Monitoring Tools
100 100%
Monitoring Tools
0% 0
PHP Web Framework
0 0%
PHP Web Framework
100% 100
Log Management
100 100%
Log Management
0% 0
Data Integration
0 0%
Data Integration
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 .NET for Apache Spark

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

.NET for Apache Spark Reviews

We have no reviews of .NET for Apache Spark yet.
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Social recommendations and mentions

Based on our record, Prometheus seems to be a lot more popular than .NET for Apache Spark. While we know about 275 links to Prometheus, we've tracked only 3 mentions of .NET for Apache Spark. 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 (275)

  • Deploying Prometheus on a Raspberry Pi Cluster
    Deploying Prometheus on a Raspberry Pi cluster is a great way to monitor your Raspberry Pis and gather insightful metrics from them. In this guide, we'll walk through the steps to set up Prometheus with one master node (Pi) and three worker nodes (Pis). - Source: dev.to / 3 months ago
  • Kubernetes Observability With Kube-State-Metrics
    You must use Prometheus to collect and query Kube-State-Metrics output. The steps to correctly configure Prometheus to scrape Kube-State-Metrics may vary depending on how you installed Prometheus in your cluster. - Source: dev.to / 8 days ago
  • Working with OpenTelemetry Metrics
    In this setup, we are launching the OpenTelemetry Collector with the configuration file otel-collector-config.yaml and exposing its gRPC and HTTP receiver ports on localhost. Also, we are launching Prometheus with the configuration file prometheus.yaml and exposing its UI on localhost. - Source: dev.to / 14 days ago
  • 10 Best Cloud Monitoring Tools for 2025
    Prometheus is an open-source monitoring solution designed for time-series data, commonly used with Grafana for visualization. This combination is popular among organizations seeking customizable and scalable monitoring solutions, especially in Kubernetes environments. - Source: dev.to / 20 days ago
  • Monitoring API Requests and Responses for System Health
    Prometheus + Grafana: Open-source tools that offer maximum flexibility without ongoing licensing costs—ideal for teams willing to manage their own infrastructure and configuration. - Source: dev.to / 21 days ago
View more

.NET for Apache Spark mentions (3)

  • Debug dotnet Spark using Databricks-connect
    I assume you are talking about this https://dotnet.microsoft.com/en-us/apps/data/spark. Source: over 2 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Good question! The API and the authoring experience is .NET, but the backend is Apache Spark which is built on the JVM. We use the .NET for Apache Spark to do the parallization. Source: almost 3 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Yes that's correct. SynapseML builds on top of the Apache Spark for .NET project which provides .NET support for the Apache Spark distributed computing framework. Apache Spark is written in Scala (a language on the JVM) but has language bindings in Python, R, .NET and other languages. This release adds full .NET language support for all of the models and learners in the SynapseML library so you can author... Source: almost 3 years ago

What are some alternatives?

When comparing Prometheus and .NET for Apache Spark, you can also consider the following products

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

Apache Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data

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.

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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