Software Alternatives, Accelerators & Startups

VictoriaMetrics VS InfluxData

Compare VictoriaMetrics VS InfluxData and see what are their differences

VictoriaMetrics logo VictoriaMetrics

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

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • VictoriaMetrics Landing page
    Landing page //
    2022-08-08

VictoriaMetrics is a fast and scalable open source time series database and monitoring solution. It's designed to be user-friendly, allowing users to build a monitoring platform without scalability issues and with minimal operational burden. VictoriaMetrics is ideal for solving use cases with large amounts of time series data for IT infrastructure, APM, Kubernetes, IoT sensors, automotive vehicles, industrial telemetry, financial data, and other enterprise-level workloads. VictoriaMetrics is powered by several components, making it the perfect solution for collecting metrics (both push and pull models), running queries, and generating alerts. With VictoriaMetrics, you can store millions of data points per second on a single instance or scale to a high-load monitoring system across multiple data centers. Plus, it's designed to store 10x more data using the same compute and storage resources as existing solutions, making it a highly efficient choice. VictoriaMetrics boasts: Highest Ingestion Rate Fastest Query Performance Smallest Disk Storage Size Lowest Memory Usage Long-term Storage for Metrics Highly Scalable, Cloud Readiness Simple Set-up & Operation

  • InfluxData Landing page
    Landing page //
    2023-07-30

VictoriaMetrics

$ Details
Startup details
Country
United States
State
California
Founder(s)
Aliaksandr Valialkin, Dzmitry (Dima) Lazerka, Roman Khavronenko, Artem Navoiev
Employees
20 - 49

VictoriaMetrics features and specs

  • High Performance
    VictoriaMetrics is designed to handle large-scale loads efficiently, providing high performance for both data ingestion and query execution.
  • Scalability
    It supports horizontal scalability, making it suitable for growing workloads in distributed environments.
  • Cost-effective
    Optimized for low CPU and RAM usage, which helps in reducing overall infrastructure costs.
  • Compatibility
    Compatible with Prometheus, Grafana, and other tools in the Prometheus ecosystem, facilitating easy integration.
  • Multi-tenant Support
    Supports multi-tenancy, allowing multiple tenants to use the same setup without interference.
  • Single Node and Cluster Modes
    Offers flexibility to deploy in both single-node and cluster modes, adapting to various needs and scales.

Possible disadvantages of VictoriaMetrics

  • Learning Curve
    New users may encounter a steep learning curve, especially when transitioning from other time series databases.
  • Limited Ecosystem
    Although compatible with Prometheus, it has a smaller ecosystem and community support compared to more established solutions.
  • Feature Limitations
    Lacks some advanced features found in other time series databases, which might be a constraint for specific use cases.
  • Troubleshooting
    Users might find it challenging to troubleshoot and fine-tune performance without extensive documentation or community support.
  • Less Frequent Updates
    Compared to more mature projects, it might receive updates and new features less frequently.

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.

VictoriaMetrics videos

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InfluxData videos

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

Category Popularity

0-100% (relative to VictoriaMetrics and InfluxData)
Monitoring Tools
100 100%
0% 0
Databases
34 34%
66% 66
Time Series Database
40 40%
60% 60
NoSQL Databases
0 0%
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 VictoriaMetrics and InfluxData

VictoriaMetrics Reviews

Top 11 Grafana Alternatives & Competitors [2024]
VictoriaMetrics can be an alternative to Grafana Mimir which is focused on long-term storage of Prometheus. The same company has also launched VictoriaLogs which can be a good alternative to Grafana Loki.
Source: signoz.io

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,...
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, VictoriaMetrics should be more popular than InfluxData. It has been mentiond 19 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.

VictoriaMetrics mentions (19)

  • 14 Monitoring Tools for Full-Stack Developers
    VictoriaMetrics is a monitoring tool and time series database. It is open-source and has a managed version. - Source: dev.to / 9 months ago
  • Scaling Prometheus with Thanos
    There are many Projects like Thanos, M3, Cortex, and Victoriametrics. But Thanos is the most popular among these. Thanos addresses these issues with Prometheus and is the ideal solution for scaling Prometheus in environments with extensive metrics or multiple clusters where we require a global view of historical metrics. In this blog, we will explore the components of Thanos and will try to simplify its... - Source: dev.to / 11 months ago
  • All you need is Wide Events, not "Metrics, Logs and Traces"
    Https://victoriametrics.com/ would definitely recommend anyone having performance issues with Prometheus to give VictoriaMetrics a try. - Source: Hacker News / over 1 year ago
  • Top 11 Grafana Alternatives in 2023
    VictoriaMetrics is primarily a time-series database designed for efficiently storing and querying time-series data. It is often used as a back-end data store for time-series data generated by monitoring systems like Prometheus. VictoriaMetrics excels at handling large volumes of time-series data, offering efficient storage and query capabilities. - Source: dev.to / over 1 year ago
  • InfluxDB CTO: Why We Moved from Go to Rust
    Not sure I follow since there are very competitive tools written in Go such as https://victoriametrics.com for an example in this space. - Source: Hacker News / over 1 year ago
View more

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 VictoriaMetrics and InfluxData, you can also consider the following products

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

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

QuestDB - QuestDB is the fastest open source time series database

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

Levitate By Last9 - A managed time-series warehouse and end-to-end monitoring solution.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.