InfluxDB vs. ThingWorx

InfluxDB is very good at storing monitoring metrics (e.g. performance data). InfluxDB is not the right choice if you need to store other data types (like plain text, data relations etc.).

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It is well suited for situations where you require an end-to-end platform for pushing code and managing data and security of the IoT application. However, it is not well suited for the case when you want to scale the app up to many users and this requires more from the part of the product.

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• Perfect handling telemetry data.
• Low latency, near real time.
• SQL-like language makes it easier to query.

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• Asset Monitoring - quick and easy to deploy, can connect to the plant floor and get real-time data from devices.
• Analytics - The TWX Analytics extension has a variety of analyses that can be done into any data source input into TWX.
• Alerts notification - you can program alerts to be sent via email/SMS seamlessly.

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• GUI based administrator console

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• Advanced functionality in control and data visualization often requires additional coding from the user.
• Support and tutorials provided are often lacking in detail or are not readily transferable.
• Mashup development works poorly on small monitors or laptops.

InfluxDB is a near perfect product for time series database engines. The relatively small list of cons are heavily outweighed by it's ability to just work and be a very flexible and powerful database engine. The community and support provided by the corporation are the only areas I have little experience.

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We started more than a year ago and do not plan to replace it

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We have worked with the InfluxDB support team a few times so far and it has been positive. Issues submitted are worked on promptly and we have good feedback.

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Experienced and knowledgeable customer support executives, Thingworx is a very large product and contains a myriad of features which is not easy to remember without enough training or hands-on experience

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To be honest, I didn't look at alternatives since InfluxDB performs very well if you can oversee the lack of security and HA features. But for all challenges, there is an easy solution which brings you forward (e.g. read load balancing can be achieved by using a common HTTPS load balancer).

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Well-suited - multiple streams from many data sources, highly scalable application scenarios.Good for a quick test of internet of things (IoT) connectivity and for deploying access via the web. Smooth deployment, easy to couple to devices. Easy cooperation with Splunk, which we use also.

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• Provided us a time series DB.
• With the SQL-like language, it is very easy to learn.
• Empowered us to keep track of our events.

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• Good for quick deployment of customer specific control of IoT
• Good for quick test of IoT platform
• Difficult to debug complicate system

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