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Thanos.io VS Easy ML for Java

Compare Thanos.io VS Easy ML for Java and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

Thanos.io logo Thanos.io

Open source, highly available Prometheus setup with long term storage capabilities.

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Thanos.io Landing page
    Landing page //
    2022-11-21
Not present

Thanos.io features and specs

  • Global View
    Thanos provides a global view of all your Prometheus metrics, allowing you to query across multiple clusters and data sources seamlessly.
  • High Availability
    Thanos enables high availability by providing redundancy and failover for data queries, ensuring continuous access to metric data even if one or more Prometheus instances fail.
  • Long-term Storage
    Thanos offers long-term storage for Prometheus metrics, allowing users to store data efficiently beyond the retention period offered by Prometheus.
  • Scalability
    Designed to scale horizontally, Thanos can handle increased workloads and large volumes of data, accommodating growing environments.
  • Compatibility
    Thanos is fully compatible with Prometheus, which means you can integrate it without changing your existing Prometheus setup.

Possible disadvantages of Thanos.io

  • Complexity
    Setting up and managing Thanos can be complex compared to a standalone Prometheus installation, requiring additional components and configurations.
  • Resource Intensive
    Thanos can be resource-intensive, necessitating more storage and compute resources to handle data deduplication and global querying effectively.
  • Learning Curve
    Developers and operations teams may face a learning curve in adopting Thanos, requiring time to understand its architecture and best practices.
  • Network Overhead
    Using Thanos can introduce network overhead due to data being transferred across clusters and remote storage solutions, potentially impacting performance.
  • Dependency Management
    Implementing Thanos adds more components and dependencies to an infrastructure, which can lead to increased management and maintenance efforts.

Easy ML for Java features and specs

No features have been listed yet.

Analysis of Easy ML for Java

Overall verdict

  • Easy ML for Java appears to be a lightweight, approachable library aimed at bringing machine learning capabilities to Java developers without requiring deep ML expertise or switching to Python-centric ecosystems. It seems suitable for developers who want to integrate basic ML functionality into existing Java applications with minimal overhead, though it likely lacks the depth, community support, and cutting-edge features of major frameworks like TensorFlow, PyTorch, or scikit-learn.

Why this product is good

  • Native Java implementation avoids the need for language interop or JNI bridges to Python-based ML libraries
  • Simpler API design makes it more accessible for Java developers without extensive ML background
  • Documentation via GitBook suggests an organized, readable learning path for newcomers
  • Lightweight footprint can be beneficial for integrating into existing Java-based systems without heavy dependencies
  • Good fit for educational purposes or prototyping simple ML concepts within a Java codebase

Recommended for

  • Java developers who want to experiment with ML without learning Python
  • Small to medium projects requiring basic classification, regression, or clustering functionality
  • Students or educators teaching foundational ML concepts using Java
  • Teams with existing Java infrastructure who need lightweight ML integration without major architectural changes
  • Prototyping and proof-of-concept work rather than production-grade, large-scale ML systems

Category Popularity

0-100% (relative to Thanos.io and Easy ML for Java)

Thanos.io

Easy ML for Java

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Artifical Intelligence
0 0%
Artifical Intelligence
100% 100
Dev Ops
100 100%
Dev Ops
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, Thanos.io seems to be more popular. It has been mentiond 32 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.

Thanos.io mentions (32)

  • Top 10 Prometheus Alternatives in 2024 [Includes Open-Source]
    Thanos is a set of components that can be added to an existing Prometheus deployment to enable long-term storage and global query view. - Source: dev.to / almost 2 years ago
  • Scaling Prometheus with Thanos
    Started in November 2017, Thanos is an open-source CNCF incubating project with over 12.8k stars on GitHub. Built on top of Prometheus, Thanos aims to provide a highly available Prometheus environment with long-term storage support and a global view of metrics. Companies like Disney, Abode, eBay, SoundCloud, and ByteDance use Thanos for monitoring at scale. However, setting up Thanos can be complex and requires... - Source: dev.to / about 2 years ago
  • Fastly and the Linux kernel
    The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / about 2 years ago
  • Looking for a way to remote in to K's of raspberry pi's...
    Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important). Source: over 2 years ago
  • Monitoring multiple kubernetes cluster with single Prometheus operator
    Sounds like you want something like Thanos. Source: about 3 years ago
View more

Easy ML for Java mentions (0)

We have not tracked any mentions of Easy ML for Java yet. Tracking of Easy ML for Java recommendations started around Jan 2023.

What are some alternatives?

When comparing Thanos.io and Easy ML for Java, you can also consider the following products

Prometheus - An open-source systems monitoring and alerting toolkit.

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

VictoriaMetrics - Fast, easy-to-use, and cost-effective time series database

Open Telemetry - An observability framework for cloud-native software.

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

InsightCat - Full-stack monitoring platform for your software and hardware. InsightCat is a cloud-based and AI-powered solution to enhance your system health estate through infrastructure monitoring and alerting capabilities.

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