Liquibase is a database change management tool that extends DevOps best practices to the database, helping teams release software faster and safer by bringing the database change process into existing CI/CD automation. According to the 2021 Accelerate State of DevOps Report, elite performers are 3.4 times more likely to incorporate database change management into their process than low performers. Liquibase value proposition: Liquibase speeds up the development…
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QuestDB
Score 10.0 out of 10
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QuestDB is an open source time series database. It implements SQL and exposes a Postgres wire protocol, a REST API, and supports ingestion with InfluxDB line protocol.
Based on my experience so far on using Liquibase in my current project, I have seen that Liquibase changelogs are version control where multiple team members and developers can work together on database and deployed automatically via CI/CD Pipeline integration using github actions and it applies same changelogs to all enviroments to remain in sync and avoid any enviroment drift. Also as Liquibase stores changelog audits in DATABASECHANGELOG table it helps in tracking purposes and to easily rollback any change . Whereas in some scenarios I feel that Liquibase have some drawbacks where if complex transformation between tables is not optimized for bulk data operations which eventually degrades database performance.
QuestDB is well suited for any use case where you need to store large amount of data and the performance is the key factor - for both reads and writes. So use cases like market data storage in financial industry, any kind of telemetry, etc.
Liquibase tracks changes in a metadata table contained directly in the target database, making easy administration for the DBA.
Liquibase handles many validation tests out of the box, making it easy to choose which ones you want to include, with options for writing your own if you choose. This makes it robust and flexible in terms of validation before deployment.
Liquibase provides easy integration into deployment pipelines for CI/CD. We use it with GitHub for source control and Circle CI for validation and deployment pipelines.
I would like Liquibase to explore all errors in the changelog files compared to one at a time. We spent a lot of time troubleshooting one error at a time versus having a batch log of errors in each file.
Understanding where to get support on things. I spent a lot of time researching externally to learn what the best practices were. Although I found some of the youtube videos helpful, I would like a little more of a technical support. This may be a feature with the paid tier, however, we leveraged open source.
Seeing more examples of how others use Liquibase and their usecases will be helpful. That way we can learn from each other which may help us improve on our own deployments.
We are and will continue using Liquibase and it has become an integral part of our portfolio offering, any new product is by default adopting Liquibase stack.
Liquibase has been responsive and even is letting our group test some new products they are developing and even made code changes to their production system because of a couple bugs we have reported. Liquibase licensing has also been easy and simple. I have nothing bad to say about any of the Liquibase staff I have talked to. They also hold free information webinars for new content that helps spread adoption and moving the product forward.
There is no real competitor when it comes to what Liquibase does - at least not at the time we considered it three years ago. It was an easy choice in this regard, but we could have said no to it if it made our workload more difficult. But our proof of concept showed there were easy wins to be had by implementing its software.
We were looking for time series database that will be able to handle L2 market data and came across QuestDB. From the beginning we were impressed how well the QuestDB performs and that it actually significantly outperforms all other open source TSDB on market like InfluxDB, ClickHouse, Timescale, etc. Apart from the excellent performance it is also super easy to use and deploy which makes the experience of using the database very pleasant - we were able to be up and running and storing data within few hours. Topic itself is the QuestDB team that is super responsive on their slack channel and always ready to help with any query. They are constantly improving the product and if there is some missing feature that is blocking you from usage they always try the best to implement such feature asap and release a new version - one of the best support I have ever seen so far in open source community.
