Software Alternatives, Accelerators & Startups

InfluxData VS KX

Compare InfluxData VS KX and see what are their differences

InfluxData logo InfluxData

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

KX logo KX

Kx Systems has a high-performance vector database, kdb+, with a built-in programming language, q, that sets the standard for time-series analytics.
  • InfluxData Landing page
    Landing page //
    2023-07-30
  • KX Landing page
    Landing page //
    2023-08-02

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.

KX features and specs

No features have been listed yet.

InfluxData videos

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

KX videos

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Category Popularity

0-100% (relative to InfluxData and KX)
Databases
82 82%
18% 18
Time Series Database
100 100%
0% 0
Vector Databases
0 0%
100% 100
NoSQL Databases
86 86%
14% 14

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 KX

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

KX Reviews

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

Based on our record, InfluxData should be more popular than KX. 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.

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: about 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

KX mentions (1)

  • Ask HN: Do you Self-host your database?
    Ah, a gigantic time series event firehose. (That was what I was curious about.) I guess this cues the stereotypical "have you looked at kdb+" question, then, which you've probably already fielded :) (https://kx.com) IIUC, kdb+ does in fact have a real DB hiding in it, and it's not all just "weird programming language" - but it does seem to require/prefer a reasonable amount of buy-in to the way it does things to... - Source: Hacker News / almost 4 years ago

What are some alternatives?

When comparing InfluxData and KX, 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.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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

TerminusDB - TerminusDB is an open source model driven graph database for knowledge graph representation designed specifically for the web-age.

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

Stardog - Learn how Stardog's data unification platform creates a flexible data layer using a knowledge graph.