ClickHouse vs. Prometheus

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ClickHouse
Score 7.4 out of 10
N/A
ClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.N/A
Prometheus
Score 8.0 out of 10
N/A
Prometheus is a service monitoring and time series database, which is open source.N/A
Pricing
ClickHousePrometheus
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ClickHousePrometheus
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsPay for what is used: It automatically scales up and down compute resources based on the user's workload It scales storage and compute separately It automatically scales unused resources down to zero so that users don’t pay for idle services
More Pricing Information
Community Pulse
ClickHousePrometheus
Best Alternatives
ClickHousePrometheus
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10

No answers on this topic

Enterprises
SAP IQ
SAP IQ
Score 10.0 out of 10

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
ClickHousePrometheus
Likelihood to Recommend
10.0
(2 ratings)
7.7
(35 ratings)
Usability
-
(0 ratings)
6.7
(3 ratings)
Support Rating
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
ClickHousePrometheus
Likelihood to Recommend
ClickHouse, Inc.
The most important thing when using ClickHouse is to be clear that the scenarios in which you want to use it really are the right ones. Many users think that when a database is very fast for a specific use case, it can be extrapolated to other contexts (most of the time different) in which a previous analysis has not been carried out.
ClickHouse is an analytical database, as such, it should be used for such purposes, where the information is stored correctly, the data volumes are really large and the queries to be performed are not the typical traditional queries on several columns with multiple aggregations. ClickHouse is not the solution for this.
On the other hand, if your case is not one of the above, it is quite possible that ClickHouse can help you. Where ClickHouse shines is when you are looking for aggregation over a particular column in large volumes of data.
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Open Source
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.
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Pros
ClickHouse, Inc.
  • Their MergeTree table engine provide impressive performance for data insert in bulk
  • Not only data insert but also the way MergeTree engine uses Primary Keys to sort the data and perform data skipping based on the granules its also their secret for ridiculous fast queries
  • Data compression its also great
  • They provide especial table engines that allow you to read data directly from other sources like S3
  • Since its written with C++ you have very granular data types and especial ones like enum, LowCardinality and etc, they save you a lot of storage since are stored as integer values
  • ClickHouse functions besides the ones that respect ANSI Standards are also awesome and useful
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Open Source
  • Looking at metrics such as the aggregate number of HTTP requests served.
  • Understanding how our services are performing in aggregate.
  • Easy to deploy within a variety of architectures/environments.
  • Open source so new features are added regularly and bugs are fixed in a timely manner.
  • Free so there are no licensing restrictions.
  • Endorsed by the Cloud Native Computing Foundation.
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Cons
ClickHouse, Inc.
  • Avro data manipulation
  • Kafka consistency
  • DDL operations errors (by replica configuration)
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Open Source
  • 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.
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Usability
ClickHouse, Inc.
No answers on this topic
Open Source
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.
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Support Rating
ClickHouse, Inc.
No answers on this topic
Open Source
Never had to reach out to them.
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Alternatives Considered
ClickHouse, Inc.
ClickHouse outperforms, especially in costs, since its compression/indexing engines are so smart, and even with very low computing power, you can already perform huge analyses of the data.
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Open Source
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.
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Return on Investment
ClickHouse, Inc.
  • Queries that used to take more than 2 minutes now take less than 1 second
  • Possibility to analyze use cases in real time (before was impossible)
  • The applications are more complete and the users decisions are better
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Open Source
  • We are still working on the ROI
  • 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.
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ScreenShots