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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SQLite
Score 9.6 out of 10
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SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. The code for SQLite is in the public domain and is thus free for use for any purpose, commercial or private. SQLite is one of the most widely deployed databases in the world.
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.
The portability and ease of use has us doing local development, and then shipping the database to production for implementation. This compact deliverable object is great. Until multiple developers need to access it at a time. It is a caveat, but we create a database per integration as it is easier to manage. Using a SQLite database to manage more than one integration or task is not something we would recommend.
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.
Although it is excellent at what it does, you should be really careful and plan accordingly if you know that your database is going to scale at a huge level because it is not suitable of databases which are of Enterprise level and demands top-notch security and protection.
If your project involves multiple people working on the same database simultaneously, then that becomes a big problem, because it only allows single write at one time. You really need to be forward thinking in a manner to predict if this database will cater to all the needs of your project.
The most common difficulty with this is the lack of some of the basic functionality which is present in the other premier databases like Joints, Stored Procedure calls, Security and permission grants. If you do require all those things then you are better off not using this software.
Lastly, if you are using this in an Andriod App development cycle then also your options are limited because it does not integrate with PostgreSQL and MYSQL.
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.
I have had a wonderful experience with SQLite because in my every project I use SQLite in the development phase because it's really fast, doesn't crash and very easy to maintain as well. It saves a lot on physical memory and dedicated server usage. It has all the basic functionality you would need to get the job done and that too at no cost at all. What more could you ask for !!!
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.
SQLite has CRUD queries and manipulates external files. Cross-platform support includes iOS, Android, Mac OS X, and Windows. Compared to other databases, it is fast and straightforward to implement. Even if an application crashes, there is no effect on the database or the data it contains. The user interface is best for input and output. It's best for developing skills and project deliverables.
The active community has kept support costs low, further increasing ROI
The wide range of supported platforms and high level of compatibility has increased ROI by reducing time spent porting the database model to any platform specific solutions.
