Prometheus is a service monitoring and time series database, which is open source.
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SQLite
Score 8.0 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.
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Pricing
Prometheus
SQLite
Editions & Modules
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Offerings
Pricing Offerings
Prometheus
SQLite
Free Trial
No
No
Free/Freemium Version
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No
Premium Consulting/Integration Services
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Entry-level Setup Fee
No setup fee
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Additional Details
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More Pricing Information
Community Pulse
Prometheus
SQLite
Considered Both Products
Prometheus
Verified User
Anonymous
Chose Prometheus
It is easier to setup, but learning curve is quite moderately steep. Prometheus is a best-in-class tool for engineers and SREs in cloud-native environments. When extended with tools like Thanos or Cortex, it can rival commercial platforms in scale and capability—but requires …
As I mentioned earlier, Prometheus had an added advantage that we were able to monitor CPU, RAM, Disk Space, process monitoring which other tools did not provide us Some tools were obsolete, and other were costly when we wanted this good feature , only Prometheus delivered on …
We considered TICK stack as an alternative to our Prometheus/Grafana setup that we have for capturing, storing and visualizing the time series data. But it seemed more complicated to learn and required a separate DB called InfluxDB to be setup. So, after all these considerations, …
The software is very lightweight and can be hosted with minimal resource usage. Many exporters exist for various software. Prometheus has a powerful and flexible query language (PromQL) that allows analyzing your data easy. I use this software with its various exporters, …
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with …
Since Prometheus is free to use and provides all the features we required we went with Prometheus if any feature is missing then we can consider other paid solutions like data dog.
It was easy to implement in our enviroment compared to the other products which has a lot of challenges in the POC period it self. We have been looking for a quick solution as it was implemented during COVID, hence we were trying to take advantage of this software to see how it …
Prometheus was built to monitor CLOUD infrastructure. InfluxDB also has a good design to monitor time series but does not have a design for these demands. InfluxDB would need customization to integrate with Grafana and other third-party solutions. A disadvantage of InfluxDB is …
Both were present in the toolset. Splunk Enterprise was used in more of the log observability tool than the monitoring of the service. Prometheus was used mainly on the server and services monitoring and alerting capability used to have a stable production environment. …
Out of all the products that we did POC, Prometheus was the easiest to integrate the tool with our storage grid on which some of our most business-critical application workflows run. Prometheus was not only able to solve the monitoring problem but also provided a variety of …
The installation of Nagios core is quite difficult and the whole system seems us like a huge headache for us the entire team is not much happy with Nagios core so we take the decision and switch to Prometheus and were really happy with our decision and satisfied.
prometheus brings the power of real-time graphs to the land of open source ( reference included ). It's lightweight and doesn't seem overkill if you're a startup company and do not have a heavy traffic load. Great for starting out on small to mid-scale. as traffic rises, you …
The reason Prometheus stands tall against its competitions is because it is generic. Hence, it can be used to monitor all kinds of services, be it Database, Servers etc. Whereas CloudWatch only monitors over AWS services. Another reason is its huge availability of integrations …
Prometheus is great for quantifiable metrics. Loki is intended for log aggregation. Depending on project a different combination of data source types may be needed. However, quantifiable metrics are predominantly supported by Prometheus. Other data sources like elastic search …
Prometheus is better as a monitoring tool than graphite as graphite is a passive time series database with a query language. Prometheus has a rich data model by capturing metadata with labels which allows for easy filtering and querying. For a clustered solution, graphite maybe …
Prometheus is cheaper, and you can quickly set it up compared to others. It is integrated with most of the open-source monitoring and alerting tools and can help small companies in having a cost-effective solution early in their stage.
I tested out this solution and vetted out a few other solutions as well and ultimately ended up going with Prometheus due to a few specific reasons. Prometheus has a freemium option that allows a company to maintain cash flow while not sacrificing the quality of the product. It …
Prometheus is similar to some of its competitors but delivers with regards to metrics; being used internally by Google and other cloud-native companies like ours gives us the confidence that the alerting industry stakeholders view it as a long-term solution that the community …
We evaluated Datadog and New Relic but cost-wise, these 2 are very expensive. Prometheus does require more leg work to match the feature sets but other than time, the cost is free. Pairing with Grafana, Prometheus can pretty much match features with the big players and still …
If you combine Prometheus with Grafana, what you get is just amazing. it is basically the best ecosystem that I have seen. Grafana just makes those fancy "iron man" kind of dashboards and it just looks so appealing to your eyes. I have implemented NAGIOS core earlier for …
Postgresql is more advanced features then sqlite, however it needs a server and complexity is high for low level development work. for offline work sqlite is best. duckdb is great for analytics , it is the data base for analytics and better then sqlite for analytical purpose. …
SQLite is faster and also Light weight as compared to Microsoft SQL Server. Also being open source it reduces the application development cost drastically
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 …
We looked at other traditional RDBMS products, but found them to be cumbersome to deploy. They take up more space, and consume more computing resources than SQLite does. While the performance or direct integration to our primary applications may have been better or easier if we …
SQLite has many types of queries to do CRUD operations. and even do manipulation to external files as well. it is fast and easy to implement compared to other Databases. SQLite support atomic behaviours, so app crash in any situation, the won't impact database or data within …
SQLite is considered better against these two depending on the needs and phase of the project. If we require a lightweight yet reliable database which should also be portable across different platforms and speed is the most important part of the query and data security is not …
I think there is no real competition between them. In "SQLite" you can hear "light" when you don't need to store a big amount of data and when you need something easy to deploy, SQLite is a good choice, I didn't find those qualities in other database systems I knew.
When looking at the original items available, Valentina was a serious contender. What was good about SQLite was the familiar SQL interface and way it accessed data. Valentina, at the time, had issues with index corruption requiring vigilance with the database maintenance making …
SQLite stacks quite well against Microsoft SQL server management studio however we need the Microsoft security for our data MDSN documentation is poor but available.
This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.
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.
Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
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.
It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.
I have given this rating cause its irreplaceable in some of the areas like no more installation need except from a single library. I find dialect is simple in use cases. its suitable for any professionals with various skill levels. its easily connect with various os and devices. very less maintenance or administration required.
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.
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 ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.
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.