InfluxDB vs. RaimaDB

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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Works very well in applications designed for IoT devices where performance and footprint are of great importance.

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

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• First of all the performance of RDM was superior compared to SQLite in my multi-user environment (about 200 users). The pricing was surprisingly good compared to other high-performance databases.
• Decreased time to market, a faster and more performant application overall and lower maintenance costs.
• They run on most RTOS and can be used in a cross-platform environment.

• GUI based administrator console

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• I would like to see REST API with a GUI for administration

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 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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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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RDM performs way better than SQLite when the database is larger and has multiple users.

• 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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Independently Invited by TrustRadius

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• Decreased time to market
• Decreased maintenance and service costs on hardware.