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.
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Valentina
Score 7.0 out of 10
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Valentina is a relational database software solution offered by Paradigma Software.
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Pricing
ClickHouse
Valentina
Editions & Modules
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Offerings
Pricing Offerings
ClickHouse
Valentina
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Pay 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
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.
If you have to manage a lot of different databases from different vendors, you could do well by standardizing on this product. It checks all the boxes for a proper database management studio. You would only have to learn one product to manage them all. However, if you are looking to find a good product for a single database vendor, you might be better off finding a tool that was designed specifically for that vendor product.
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
Foreign Key Constraint data viewer! This was a tremendously helpful feature that not many other products have. Just pick a constraint and see the data in the child tables! No setup required!
Somewhat laggy performance. Boot up speed was on the slow side and connecting to our database servers was also a little slower than other products.
User interface can be a little clunky. Instead of the usual tree view of servers, databases, and schemas, you are presented with lists that you click on and get new windows to pick the new list of data from. Not organized efficiently.
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.
Compared to Microsoft's SQL Management Studio, Valentina studio was comparable, just harder to get used to in the UI department. It ran slightly slower than other products but did save some time with neat features they baked into the product. However, in using DBeaver Community and DBForge Studio for PostgreSQL from Devart, we found different products that the team ultimately decided to use. DBeaver has all of the features we needed most (minus the constraint data viewer) and a more intuitive UI that we were used to. DBForge Studio for PostgreSQL has a very standard Windows look and feel and lacks some features, like database/table designers, but makes up for those shortcomings in the much easier filtering and sorting options right in the data grids. You can even write a query and edit the data returned, which is something we don't see in many of these tools. Our team ultimately settled on the developers using DBeaver and the support team that needs data viewing/editing capabilities using DBForge Studio.
