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CSVpad VS InfluxData

Compare CSVpad VS InfluxData and see what are their differences

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CSVpad logo CSVpad

CSVpad is a handy free CSV (Comma-separated values) editor.

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • CSVpad Landing page
    Landing page //
    2021-10-19
  • InfluxData Landing page
    Landing page //
    2023-07-30

CSVpad features and specs

  • Free and Lightweight
    CSVpad is a free tool that is lightweight and easy to download and install, making it accessible to users without requiring significant system resources.
  • Simple Interface
    The application features a straightforward interface that allows users to easily navigate and manipulate CSV files without a steep learning curve.
  • Basic Editing Features
    CSVpad provides basic editing functionalities such as adding, deleting, and modifying rows and columns, which can be useful for simple tasks.

Possible disadvantages of CSVpad

  • Limited Features
    CSVpad lacks advanced features found in more robust spreadsheet programs, which may limit its utility for users needing complex data manipulations or analyses.
  • Windows-only
    The software is only available for Windows operating systems, which restricts its accessibility to users on other platforms like macOS or Linux.
  • No Advanced Support
    There is limited support for CSVpad, with minimal documentation and no dedicated customer service, which could be challenging for users requiring assistance.

InfluxData features and specs

  • High Performance
    InfluxData's InfluxDB is designed to handle high write and query loads, making it suitable for time-series data and real-time applications.
  • Open-Source
    The core InfluxDB product is open-source, allowing for transparency, community contributions, and the option to self-host the database.
  • Scalability
    InfluxDB offers horizontal scalability, enabling users to handle increasing volumes of data efficiently through clustering.
  • Built-In Data Processing
    InfluxData offers integrated tools for data processing and scripting, such as Kapacitor for real-time processing and Flux for advanced querying.
  • Rich Ecosystem
    InfluxData provides a comprehensive ecosystem including Telegraf for data collection, Chronograf for visualization, and Kapacitor for alerting and processing.
  • Time-Series Focused
    InfluxDB is optimized for time-series data, offering specialized features like time-based retention policies, continuous queries, and downsampling.
  • Easy Integration
    InfluxDB integrates well with many third-party data visualization and monitoring tools such as Grafana, making it easier to build end-to-end solutions.

Possible disadvantages of InfluxData

  • Complexity
    The comprehensive features and tools in the InfluxData ecosystem can result in a steeper learning curve, especially for novices.
  • Cost
    While the open-source version is free, the enterprise and cloud-hosted versions come with a cost, which can be significant for small to mid-sized businesses.
  • Resource Intensive
    InfluxDB can be resource-intensive, especially under high loads, requiring significant hardware resources for optimal performance.
  • Limited SQL Support
    InfluxDB doesn’t fully support SQL, which can be a hurdle for users accustomed to traditional relational databases. It uses its own query languages like InfluxQL and Flux.
  • Fragmented Documentation
    Some users find the documentation fragmented or lacking in depth, which can make troubleshooting and advanced usage more challenging.
  • Data Backup and Restore
    Managing backups and restores in InfluxDB can be intricate and may require additional effort and tools to ensure data integrity and availability.

Analysis of InfluxData

Overall verdict

  • Yes, InfluxData is considered good for dealing with time-series data.

Why this product is good

  • Specialized Time-Series Database: InfluxData offers InfluxDB, which is specifically tailored for handling time-series data, making it highly efficient for this purpose.
  • Scalability: InfluxDB is known for its high performance and scalability, which is advantageous for applications requiring the processing of large volumes of data quickly.
  • Rich Ecosystem: It provides a comprehensive suite of tools for data collection, analysis, and visualization, which includes the TICK stack (Telegraf, InfluxDB, Chronograf, and Kapacitor).
  • Ease of Use: The product offerings are designed to be user-friendly, reducing the complexity of setting up and managing time-series databases.
  • Strong Community Support: InfluxData has a robust community and good documentation, which is beneficial for troubleshooting and getting the most out of its tools.

Recommended for

  • IoT Applications: For organizations dealing with IoT devices generating large amounts of time-stamped data.
  • DevOps Monitoring: Useful for monitoring infrastructure and applications due to its ability to collect and store real-time metrics.
  • Finance: Can be employed to track stock prices, or other financial metrics over time.
  • Research: For scientific data that requires precise timestamping and quick retrieval.
  • Energy Management: Ideal for tracking and analyzing power consumption over time.

CSVpad videos

No CSVpad videos yet. You could help us improve this page by suggesting one.

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InfluxData videos

+ Add

Barbara Nelson [InfluxData] | Best Practices for Data Ingestion into InfluxDB

Category Popularity

0-100% (relative to CSVpad and InfluxData)

CSVpad

InfluxData

CSV Editors
100 100%
CSV Editors
0% 0
Databases
0 0%
Databases
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
Time Series Database
0 0%
Time Series Database
100% 100

User comments

Share your experience with using CSVpad and InfluxData. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare CSVpad and InfluxData

CSVpad Reviews

We have no reviews of CSVpad yet.
Be the first one to post

InfluxData Reviews

ReductStore vs. MinIO & InfluxDB on LTE Network: Who Really Wins the Speed Race?
Maintaining consistency between multiple databases, like MinIO and InfluxDB, adds a layer of complexity. In our setup, MinIO, used for blob storage, is linked to data points in InfluxDB via its filename. Any inconsistencies or mismatches between the two could potentially result in data loss. Furthermore, we need to query both databases, which is quite inefficient. Lastly,...
Source: www.reduct.store
Apache Druid vs. Time-Series Databases
We occasionally get questions regarding how Apache Druid differs from time-series databases (TSDB) such as InfluxDB or Prometheus, and when to use each technology. This short post serves to help answer these questions.
Source: imply.io
4 Best Time Series Databases To Watch in 2019
InfluxDB is part of the TICK stack : Telegraf, InfluxDB, Chronograf and Kapacitor. InfluxData provides, out of the box, a visualization tool (that can be compared to Grafana), a data processing engine that binds directly with InfluxDB, and a set of more than 50+ agents that can collect real-time metrics for a lot of different data sources.
Source: medium.com

Social recommendations and mentions

Based on our record, InfluxData seems to be more popular. It has been mentiond 2 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.

CSVpad mentions (0)

We have not tracked any mentions of CSVpad yet. Tracking of CSVpad recommendations started around Mar 2021.

InfluxData mentions (2)

  • Can i log data into excel/csv using aws?
    I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 3 years ago
  • How to stream IoT data into Excel
    I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 3 years ago

What are some alternatives?

When comparing CSVpad and InfluxData, you can also consider the following products

Modern CSV - A CSV editor/viewer

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Rons CSV Editor - Rons CSV Editor / Now Rons Data Edit

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

ReCsvEditor - Csv / Tsv / Delimited file editor. Supports for very large Files.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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