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InfluxData VS Beego

Compare InfluxData VS Beego and see what are their differences

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InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.

Beego logo Beego

Beego Web is official blog and documentation website for beego app web framework
  • InfluxData Landing page
    Landing page //
    2023-07-30
  • Beego Landing page
    Landing page //
    2022-07-05

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.

Beego features and specs

  • Fast Performance
    Beego is known for its high performance due to being built in Go, which is a compiled language with excellent concurrency support.
  • Integrated Features
    Beego offers a complete set of features including an MVC framework, an ORM, and built-in support for tasks such as routing, session management, and caching.
  • Strong Community
    Beego has a strong and active community which can be beneficial for peer support, contributions, and resource availability.
  • Modular
    The framework is modular, allowing developers to use only the components they need instead of the whole package.
  • Comprehensive Documentation
    Beego offers comprehensive documentation which makes it easier for developers to learn and implement the framework effectively.

Possible disadvantages of Beego

  • Learning Curve
    New developers may find Beego's learning curve steep, especially if they are unfamiliar with Go.
  • Go Language Dependency
    Beego is tied to the Go language, which might be a disadvantage for teams not familiar with Go or preferring another language.
  • Less Popularity
    Compared to top-tier frameworks like Django or Rails, Beego may have less market presence and fewer resources available.
  • Fewer Third-Party Integrations
    Beego may have fewer third-party libraries and integrations available compared to more mainstream frameworks.
  • Limited Enterprise Adoption
    While gaining popularity, Beego may still face limited adoption in large-scale enterprise environments compared to established frameworks.

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.

InfluxData videos

+ Add

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

Beego videos

+ Add

"Kalau Nak Buang Artis Buang Sekali Dengan Tv" Pelakon Beego Mula Bersuara

More videos:

  • Review - Lewitt LCT840 & Beego

Category Popularity

0-100% (relative to InfluxData and Beego)

InfluxData

Beego

Databases
100 100%
Databases
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
Time Series Database
100 100%
Time Series Database
0% 0
Development
0 0%
Development
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 InfluxData and Beego

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

Beego Reviews

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

Social recommendations and mentions

Based on our record, Beego should be more popular than InfluxData. It has been mentiond 7 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.

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

Beego mentions (7)

  • Is Beego official website down ?
    And beego.vip times out in my browser. Source: about 2 years ago
  • Is Beego official website down ?
    I searched for top go frameworks and found gin, beego and fiber on the top. When I tried to open the website beego website is not working. beego.vip. Source: about 2 years ago
  • Can't enter the beego.vip website.
    Guys, can u enter beego.vip? I can't enter the site and I have already tried to enter it with different networks provider and vpn services. Source: over 2 years ago
  • Django-like MVT framework for Golang?
    Dunno, I know beego which enough poverfull and mature Https://beego.vip/. Source: about 3 years ago
  • Frameworks of the Future?
    Today, most of that mess is just how you threaten children to behave, because everybody else now has their equivalent to Rails. C#/VB.NET's ASP.NET, Elixir's Phoenix, Go's Beego, PHP's Laravel, Haskell's IHP, Java's Jakarta EE, JavaScript's Express, and literally dozens of others now have effective parity with Rails. - Source: dev.to / almost 4 years ago
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What are some alternatives?

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

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

Mikro orm - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns.

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

Propel ORM - Application and Data, Languages & Frameworks, and Microframeworks (Backend)

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

Gin Gonic - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin. - ...

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