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InfluxData VS Apache SkyWalking

Compare InfluxData VS Apache SkyWalking and see what are their differences

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InfluxData logo InfluxData

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

Apache SkyWalking logo Apache SkyWalking

Apache SkyWalking is an open-source application performance monitoring solution that provides tracking, metrics analysis, service mesh observability, alarm, and visualization.
  • InfluxData Landing page
    Landing page //
    2023-07-30
  • Apache SkyWalking Landing page
    Landing page //
    2023-05-21

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.

Apache SkyWalking features and specs

  • Comprehensive Observability
    Apache SkyWalking provides end-to-end observability of distributed systems including service, process, and container metrics, as well as logs and events, enabling holistic monitoring and performance optimization.
  • Distributed Tracing
    SkyWalking offers robust distributed tracing capabilities that allow users to trace requests end-to-end across various services and platforms, aiding in root cause analysis and performance monitoring.
  • Open Source
    Being an open-source project under the Apache umbrella, SkyWalking benefits from community contributions, regular updates, and improvements, offering transparency and flexibility.
  • Wide Protocol Support
    SkyWalking supports a wide range of protocols and platforms, such as HTTP, gRPC, Dubbo, and supports multiple languages including Java, .NET, Python, and more, making it versatile across different tech stacks.
  • Dashboarding and Visualization
    The platform provides powerful dashboards and visualization tools, allowing users to easily interpret data, create custom dashboards, and derive insights from visual metrics.

Possible disadvantages of Apache SkyWalking

  • Complex Setup
    Setting up and configuring SkyWalking can be complex, especially for organizations unfamiliar with distributed observability tools, potentially requiring significant time and expertise.
  • Scalability Challenges
    While SkyWalking is designed for distributed systems, scaling its deployment for very large environments might present challenges, necessitating careful architectural planning.
  • Resource Intensive
    SkyWalking can be resource-intensive, as it collects a large amount of telemetry data, which might lead to high overhead on system resources like CPU and memory.
  • Learning Curve
    Due to its comprehensive feature set and various configurations, there can be a steep learning curve associated with effectively utilizing SkyWalking, particularly for new users.
  • Limited UI Customization
    The user interface, while functional, offers limited customization options compared to some commercial observability solutions, which might be a limitation for users needing highly tailored dashboards.

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

Apache SkyWalking videos

+ Add

Chapter04 Session10 - Apache Skywalking by Sheng Wu

More videos:

  • Review - Apache SkyWalking | Top 42 Alternatives of Apache SkyWalking
  • Review - Observability in Service Mesh Powered by Envoy and Apache SkyWalking - Sheng Wu & Lizan Zhou

Category Popularity

0-100% (relative to InfluxData and Apache SkyWalking)

InfluxData

Apache SkyWalking

Databases
100 100%
Databases
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Time Series Database
100 100%
Time Series Database
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

Share your experience with using InfluxData and Apache SkyWalking. 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 InfluxData and Apache SkyWalking

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

Apache SkyWalking Reviews

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

Social recommendations and mentions

Based on our record, Apache SkyWalking should be more popular than InfluxData. It has been mentiond 18 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

Apache SkyWalking mentions (18)

  • I gave up on self-hosted Sentry
    A good APM tool I’ve been using for a few years is Apache Skywalking: https://skywalking.apache.org/ It might not do everything Sentry does but it definitely has helped with tracking down some issues, even production ones and runs in a fairly manageable setup (in comparison to how long even the Sentry self-hosted Docker Compose file is). What’s more, if you want, you can even use regular PostgreSQL as the backing... - Source: Hacker News / about 2 months ago
  • OpenTelemetry Tracing in < 200 lines of code
    > I maintain that any platform that isn’t using some sort of tracing system is practically negligent in their engineering duty. For some, it's difficult because many of the self-hostable out there are rather complex and have high requirements, like https://github.com/getsentry/self-hosted/blob/master/docker-compose.yml but it's not exactly ideal either. I wonder what other good options are out there, something... - Source: Hacker News / 9 months ago
  • 14 Monitoring Tools for Full-Stack Developers
    Apache SkyWalking is an open-source APM tool meant for distributed systems. It has support for distributed tracing, agents in multiple languages, and support for an eBPF agent. - Source: dev.to / 9 months ago
  • Release Radar · May 2024 Edition: Major updates from the open source community
    Are you working on microservices, cloud native, and container-based architectures? Then you need to check out Apache Skywalking. It's an Application Performance Monitoring (APM) system, that provides monitoring, tracing, and diagnosing capabilities for distributed systems in Cloud Native architectures. This latest update has hundreds of changes including support for Java 21 runtime, new functions and parameters,... - Source: dev.to / about 1 year ago
  • Enhancing API Observability Series (Part 3): Tracing
    When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing InfluxData and Apache SkyWalking, 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.

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

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

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

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

SigNoz - Open source alternative to Datadog

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