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InfluxData VS QuestDB

Compare InfluxData VS QuestDB and see what are their differences

InfluxData logo InfluxData

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

QuestDB logo QuestDB

QuestDB is the fastest open source time series database
  • InfluxData Landing page
    Landing page //
    2023-07-30
  • QuestDB Landing page
    Landing page //
    2023-08-17

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 doesnโ€™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.

QuestDB features and specs

  • High Performance
    QuestDB is designed for high-throughput data ingestion and fast queries, making it suitable for time-series data and real-time analytics.
  • SQL Support
    QuestDB provides native SQL support, which makes it easy for users familiar with SQL to write queries and interact with the database.
  • Time-Series Optimization
    The database is optimized for time-series data, offering features like in-order execution and reduced computational complexity for queries over time intervals.
  • Open Source
    As an open-source solution, QuestDB allows developers to inspect the code, customize features, and contribute to its development.
  • Columnar Storage
    QuestDB uses a column-oriented storage model, which improves I/O efficiency and speeds up read operations, particularly for analytics workloads.

Possible disadvantages of QuestDB

  • Young Ecosystem
    Being a relatively new player in the database market, QuestDB may have a smaller community and fewer third-party integrations compared to more established databases.
  • Limited Features
    QuestDB, while performance-focused, might offer fewer features compared to traditional relational databases, such as limited support for transactional operations.
  • Resource Intensive
    The performance optimizations in QuestDB might require significant system resources, making it potentially less suitable for environments with limited hardware capabilities.
  • Learning Curve
    While SQL support is a pro, users new to time-series databases may face a learning curve in understanding how to effectively use QuestDB's unique features.

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

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

QuestDB videos

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

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Category Popularity

0-100% (relative to InfluxData and QuestDB)
Databases
70 70%
30% 30
Time Series Database
68 68%
32% 32
Big Data
100 100%
0% 0
Productivity
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 InfluxData and QuestDB

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

QuestDB Reviews

We have no reviews of QuestDB yet.
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Social recommendations and mentions

Based on our record, QuestDB 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.

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: almost 4 years ago

QuestDB mentions (19)

  • How to Forecast Air Temperatures with AI + IoT Sensor Data
    If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models. - Source: dev.to / over 1 year ago
  • K3s Traefik Ingress - configured for your homelab!
    But of course, I want to run a QuestDB instance on my node, which uses two additional TCP ports for Influx Line Protocol (ILP) and Pgwire communication with the database. So how can I expose these extra ports on my node and route traffic to the QuestDB container running inside of k3s? - Source: dev.to / almost 2 years ago
  • Annotations in Kubernetes Operator Design
    In this post, I will detail a way in which I recently used annotations while writing an operator for my company's product, QuestDB. Hopefully this will give you an idea of how you can incorporate annotations into your own operators to harness their full potential. - Source: dev.to / almost 2 years ago
  • Is all data time-series data?
    QuestDB is an open source, high performance time series database. With its massive ingestion throughput speeds and cost effective operation, QuestDB reduces infrastructure costs and helps you overcome tricky ingestion bottlenecks. Thanks for reading! - Source: dev.to / almost 2 years ago
  • How QuestDB saved a project and the team's mental health
    Want to know more? Check out the QuestDB website and the QuestDB documentation. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing InfluxData and QuestDB, 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.

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

OpenTSDB - OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Hippobase - Self-host open source databases in one click

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