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etcd VS Plot Digitizer

Compare etcd VS Plot Digitizer and see what are their differences

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

etcd logo etcd

A distributed, reliable key-value store for the most critical data of a distributed system

Plot Digitizer logo Plot Digitizer

All-in-One Tool to Extract Data from Graphs, Plots & Images
  • etcd Landing page
    Landing page //
    2021-07-29
  • Plot Digitizer Landing page
    Landing page //
    2023-06-17

etcd features and specs

  • Consistency
    etcd uses the Raft consensus algorithm to ensure strong consistency across distributed systems, making it ideal for scenarios where reliable data storage is critical.
  • High Availability
    By distributing data across multiple nodes, etcd ensures high availability and fault tolerance, allowing services to remain operational even if some nodes fail.
  • Simplicity
    etcd offers a simple key-value store interface, making it easy to understand and integrate with other services without requiring complex configurations.
  • Performance
    Optimized for fast reads and writes, etcd can handle large volumes of concurrent requests, making it suitable for high-performance applications.
  • Secure
    etcd provides excellent security features, including SSL/TLS encryption for data in transit and role-based access control to ensure that data access is tightly controlled.

Possible disadvantages of etcd

  • Resource Intensive
    Running etcd, especially in a clustered configuration, can be resource-intensive, requiring significant CPU and memory to ensure optimal performance and reliability.
  • Operational Complexity
    Although etcd itself is simple, managing a distributed etcd cluster can become complex, requiring expertise to configure and maintain properly.
  • Data Volume Limitations
    etcd is not designed as a general-purpose database and has limitations on how much data it can efficiently store, typically up to a few gigabytes per cluster.
  • Write Throughput
    The write throughput of etcd can be a bottleneck under heavy load, as it needs to ensure data consistency across nodes, which can introduce latency.
  • Limited Query Capabilities
    As a key-value store, etcd lacks the advanced querying capabilities of traditional databases, which may limit its use for complex data retrieval operations.

Plot Digitizer features and specs

  • User-friendly Interface
    Plot Digitizer offers a simple and intuitive interface, making it accessible for users of varying technical skill levels.
  • Supports Multiple File Formats
    The tool supports a variety of file formats, including PNG, JPEG, and PDF, offering flexibility in terms of input data.
  • Precision and Accuracy
    Plot Digitizer provides precise and accurate data extraction, ensuring reliable outputs from digitized plots.
  • Versatile Application
    It can be used for various types of graphs and charts, such as line graphs, scatter plots, and bar charts.
  • Cross-Platform Compatibility
    The application is web-based, which allows it to be used across different operating systems without needing additional software installations.

Possible disadvantages of Plot Digitizer

  • Limited Free Features
    The free version may have limited features compared to the paid version, which could restrict functionality for some users.
  • Internet Dependency
    As a web-based tool, Plot Digitizer requires a stable internet connection for use, which might be a limitation in areas with poor connectivity.
  • Learning Curve
    While the interface is generally user-friendly, new users may still require time to understand all available features to use the tool efficiently.
  • Potential for Manual Errors
    Manual calibration and adjustments might introduce errors, especially when dealing with complex or high-density plots.
  • Performance Limitations
    Very large or complex datasets might impact the performance and speed of the tool, potentially leading to longer processing times.

etcd videos

+ Add

ETCD in Kubernetes

More videos:

  • Review - Service Discovery Zookeeper vs etcd vs consul ุฃูƒุชุดุงู ุงู„ุฎุฏู…ุงุช ุดุฑุญ ุนุฑุจู‰
  • Review - Episode#11 Working with ETCD - Backup and Restore Operations - Part#1

Plot Digitizer videos

+ Add

Plot digitizer

Category Popularity

0-100% (relative to etcd and Plot Digitizer)

etcd

Plot Digitizer

Web Servers
100 100%
Web Servers
0% 0
Data Extraction
0 0%
Data Extraction
100% 100
Web And Application Servers
100 100%
Web And Application Servers
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

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Social recommendations and mentions

Based on our record, etcd seems to be a lot more popular than Plot Digitizer. While we know about 39 links to etcd, we've tracked only 3 mentions of Plot Digitizer. 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.

etcd mentions (39)

  • Global Distributed Consensus: The Missing Piece in Kubernetes
    Kubernetes runs on etcd, which uses the Raft consensus algorithm. It's a proven model for what it was designed to do: keep a single cluster's state perfectly consistent. When you create a deployment or a pod dies, every node in the cluster agrees on the new state of the world almost instantly. - Source: dev.to / 2 months ago
  • A Quick Dive into Kubernetes Operators - Part 1
    However, custom controllers face significant challenges when handling large volumes of data. Kubernetes relies on ETCD for all data storage, which limits scalability, flexibility, and performance for complex or high-volume workloads. What are the main issues? - Source: dev.to / 10 months ago
  • Kubernetes: Kubernetes API, API groups, CRDs, and the etcd
    For storing data in Kubernetes, we have another key component of the Control Planeโ€Š โ€” โ€Šetcd. - Source: dev.to / 12 months ago
  • Kubernetes Overview: Container Orchestration & Cloud-Native
    Etcd: A distributed key-value store maintaining cluster state and configuration data. ETCD backup strategies are critical for disaster recovery. - Source: dev.to / 11 months ago
  • Implementing Resource Versioning in Conveyor CI
    So we have to then take into consideration our data store and investigate if it's able to handle this form of incrementation. Conveyor CI uses etcd, a key-value store, it is reliable and highly performant. As we investigated further into the architecture of etcd, we realized that internally etcd uses Multi-Version Concurrency Control (MVCC) which allows reads at specific revisions of a record or key. This means... - Source: dev.to / 11 months ago
View more

Plot Digitizer mentions (3)

  • [OC] Autism rates are driven by changes in policy and diagnostic criteria, not vaccinations
    Data: The CDC data estimating national autism rates only shows data every other year since 2000 (https://www.cdc.gov/ncbddd/autism/data.html). I used California data from Nevison (2018) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223814/ ) to show a longer-term historical trend. While it doesnโ€™t completely match the national data during the overlapping years (and I wouldnโ€™t expect it to), I have no reason to... Source: about 3 years ago
  • graph website/app?
    There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here. Source: about 3 years ago
  • Show HN: Data Painter โ€“ A Different Way to Interact with Your Data
    I found this... Something like what you have in mind? (not Foss) https://plotdigitizer.com/. - Source: Hacker News / over 3 years ago

What are some alternatives?

When comparing etcd and Plot Digitizer, you can also consider the following products

Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.

WebPlotDigitizer - WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.

Docker Hub - Docker Hub is a cloud-based registry service

DigitizeIt - Sometimes it is necessary to extract data values from graphs, e.g.

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

GraphClick - GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies.

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