H2 Database Engine vs. InfluxDB

This really depends on the use case. For an in-memory replacement database for running unit test cases with, H2 Database Engine is an excellent option. However, if you are looking for a general purpose database for your production systems, then H2 Database Engine is not suited for this purpose.

Incentivized

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.

Incentivized

• Can run as an in-memory database.
• Simple and quick to get started with, and is light weight (only 2MB).
• SQL compliant so it compatible with most relational databases.

Incentivized

• Time series data
• Very fast queries
• Many options to configure and tune database

Incentivized

• There's a warning in official FAQ "Is it Reliable?"-section which makes it seem like H2 is not yet a mature product.
• If raw SQL queries are used there maybe be differences between MySQL & H2. ORM library should be used.
• Support seems to be community-based only.

Incentivized

• 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.

Incentivized

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.

Incentivized

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.

Incentivized

Both MySQL & H2 [Database Engine] are relational databases & use same query language. Application features can be implemented with both but if it's expected that the application will be used by large user base or is complex MySQL is better. Cloud providers provide scaling support for MySQL and also it's more battle-tested. H2 is good when it's a small application as H2 is easier & quicker to set up.

Incentivized

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.

Incentivized

• Doesn't take time from developers, once it's configs are set up for testing it works in everyone's development environments
• Easy to integrate in application, no need to setup separate database software, no maintenance
• No need to deal with infrastructure related issues/costs - database runs in same machine as the application that uses it.

Incentivized

• 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.

Incentivized