The InfluxDB is a time series database from InfluxData headquartered in San Francisco. As an observability solution, it is designed to provide real-time visibility into stacks, sensors and systems. It is available open source, via the Cloud as a DBaaS option, or through an Enterprise subscription.
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kdb+
Score 9.0 out of 10
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kdb+ is a time series database from kx headquartered in Palo Alto, California, a division of First Derivatives.
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Pricing
InfluxDB
kdb+
Editions & Modules
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Offerings
Pricing Offerings
InfluxDB
kdb+
Free Trial
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No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
InfluxDB
kdb+
Considered Both Products
InfluxDB
Verified User
Anonymous
Chose InfluxDB
We have looked around to find different options we had when we first started to move to cloud. At that time, the options we had is Google Cloud BigTable and InfluxDB. But quickly we realized that InfluxDB is the database specialized in time series database and performs better …
InfluxDB is much easier to initially setup and scale compared to Graphite (now known as Whisper). With a smaller team we found Graphite too much overhead that would make operational support a significant blocker or generation of technical debt.
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 …
Python is very commonly used for large data analysis and in general is much easier to pickup than kdb+. The biggest drawback of kdb+ is the learning curve.
InfluxDB is a time series database and should be used in that intent. Each data ingestion streams should be properly configured to ensure optimal database performance. InfluxDB works very well but like any other databases requires maintenance and tuning. We have been using the TICK stack and are very happy with the results.
When you are dealing with large scale time series data, [there are] no better alternatives. I've seen some firms use other so called "big data" alternatives, and claim they can store the data just as efficiently. However, once you want to generate sophisticated analytics from the data, nothing beats kdb+
Small, but growing community - This database engine's community is much smaller than alternatives. This can make finding a DBA or support less easy, but not impossible.
Documentation could be improved - The docs for getting started don't effectively lead first-time users to understand how the underlying systems are designed.
Performance Analysis - There seems to be a lack of tools to give context to slow queries or other performance issues
Out-of-the-box security - The out of the box security is designed to operate in an internal network and is limited.
It is sometimes painful to accept the fact that KDB+ is not fully multithreaded.
The ability to write shorter code for a complex logic is really good. But it makes it really cryptic. Cryptic codes are very difficult to maintain and extend.
For some small institutions license cost is little high.
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.
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.
We have looked around to find different options we had when we first started to move to cloud. At that time, the options we had is Google Cloud BigTable and InfluxDB. But quickly we realized that InfluxDB is the database specialized in time series database and performs better than other options we have.