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TrackJS VS InfluxData

Compare TrackJS VS InfluxData and see what are their differences

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TrackJS logo TrackJS

JavaScript Error Tracking for Modern Web Applications

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • TrackJS Landing page
    Landing page //
    2022-07-27
  • InfluxData Landing page
    Landing page //
    2023-07-30

TrackJS features and specs

  • Real-time Error Tracking
    TrackJS provides real-time monitoring and alerting of JavaScript errors, allowing developers to quickly identify and address issues as they occur in live environments.
  • Detailed Error Reports
    The service offers comprehensive error reports with detailed stack traces and metadata, helping developers understand the context of errors for more efficient debugging.
  • User-friendly Interface
    TrackJS features an intuitive and easy-to-navigate dashboard, making it accessible even for developers who may not be familiar with error tracking tools.
  • Integrations
    The platform supports various integrations with popular development tools and services such as Slack, GitHub, and Jira, enabling seamless workflow enhancements.
  • Performance Impact
    TrackJS is designed to have minimal performance impact on your application, ensuring that error tracking does not degrade user experience.

Possible disadvantages of TrackJS

  • Pricing
    TrackJS may be considered expensive for smaller teams or projects, as the cost can add up depending on the level of service required.
  • Customization
    While TrackJS provides a robust set of features out-of-the-box, it may lack the level of customization or flexibility needed for specific use cases or complex applications.
  • Limited Free Tier
    The free tier of TrackJS may have limitations in terms of features and data usage, which could be restrictive for some users looking for a more comprehensive solution.
  • Dependency on External Service
    Using TrackJS introduces a dependency on an external service for error tracking, which could be a concern for organizations with strict data policies or those preferring self-hosted solutions.

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.

TrackJS videos

+ Add

Redux TrackJS Logger

InfluxData videos

+ Add

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

Category Popularity

0-100% (relative to TrackJS and InfluxData)

TrackJS

InfluxData

Error Tracking
100 100%
Error Tracking
0% 0
Databases
0 0%
Databases
100% 100
Exception Monitoring
100 100%
Exception Monitoring
0% 0
Time Series Database
0 0%
Time Series Database
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 TrackJS and InfluxData

TrackJS Reviews

We have no reviews of TrackJS 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 should be more popular than TrackJS. 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.

TrackJS mentions (1)

  • First 6 months with eBay/Adevinta
    Holding a hand on a pulse of metrics for errors;. - Source: dev.to / over 2 years ago

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 TrackJS and InfluxData, you can also consider the following products

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

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

BugSnag - Not all bugs are worth fixing. Prioritize and fix software bugs that matter while improving software stability with every release.

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

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