CrateDB Cloud - Pay As You Go
CrateDBExternal reviews
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Excellent product for scalable data warehousing that also supports OSS
What do you like best about the product?
Scalable with ease whilst also offering options for edge computing. Integrating the system into an exsiting hyperscaler is easy, especially now that is is available as a one-click deployment.
What do you dislike about the product?
More regions for deploying through the CrateDB cloud would be excellent, I'd also to see further extension of the in-built commands for working with the data inside of the database.
What problems is the product solving and how is that benefiting you?
We've been looking for a solution that caters to real-time use cases, primarily looking at time series data in large volumes. It's a useful to have multiple models contained within the same product, offering flexibility in consumption patterns for diverse user groups.
This fits the bill, and looking forward to developing this further as an offering with for clients.
This fits the bill, and looking forward to developing this further as an offering with for clients.
CyberSecurity Analysis with CrateDB
What do you like best about the product?
We liked very much about native postgresql support. We can store logs directly into CrateDB without another wrapper layer.
What do you dislike about the product?
CrateDB support channel/forum should be improved. Even though it's good product, people start seeing how the community is active. As of now it's closed box.
What problems is the product solving and how is that benefiting you?
We can stream cycber security logs directly store into the database.
Efficient and easy to integrate
What do you like best about the product?
The ease of integration with existing systems allowes for a smooth transition and minimal disruption to workflows.
What do you dislike about the product?
Documentation could be improved in some areas, like the integration with other drives/dialects.
What problems is the product solving and how is that benefiting you?
CrateDB efficiently handles large-scale, complex datasets, making it suitable for a vector database for a RAG system.
Very versatile tool suited for hybrid setup
What do you like best about the product?
Ease of use, versatility. A solid data warehousing alternative to most popular solutions.
What do you dislike about the product?
It's hard to find a fault. Maybe it being less known.
What problems is the product solving and how is that benefiting you?
Data warehousing alternative
Easy to integrate in complex system
What do you like best about the product?
Performance, UI for monitoring, easiness of integration in existing systems.
What do you dislike about the product?
Nothing to be mentioned here, it works well.
What problems is the product solving and how is that benefiting you?
Robust DB for client solutions.
Powerful and easy to use
What do you like best about the product?
I like how it integrates different type of data with a SQL-like syntax.
What do you dislike about the product?
I think all that power requires a lot of resources, which can result in higher costs.
What problems is the product solving and how is that benefiting you?
CrateDB solves the challenge of analyzing large volumes of time-series and IoT data in real-time using SQL, which makes it easy to integrate with existing systems.
a DBaaS with interesting functionalities for developers
What do you like best about the product?
I liked the keyword search with fuzzy functionalities. I liked the interpolation in time series analysis. I liked the idea the information can be compared by mathematical vectors. I liked the traditional SQL interface. I appreciated how it is easy to do these tasks in the programmer point of view. I liked the idea of integration that this product seems to provide.
What do you dislike about the product?
I understood the product was built in particular for real time data processing and for data analysis (time series) . I did not understood if it can be used for others operations the companies usually are facing. For instance reporting production that have to satisfy particular templates or to be published in a distributed environment (es. Qlik, SAS,..). Data quality activities that implies data comparing and data correction.
I did not understood if the tool supports effectively the security/authorization issues that normally a big company has, for instance some office can see some data, other can not.
I fear the latencies due to newtwork infrastructure. How to handle with table with 60 million records?
I did not understood if the tool supports effectively the security/authorization issues that normally a big company has, for instance some office can see some data, other can not.
I fear the latencies due to newtwork infrastructure. How to handle with table with 60 million records?
What problems is the product solving and how is that benefiting you?
I think the possibility to handle easly the situations with incomplete data is interesting
Wonderful workshop to sharpening your skillset in database engineering
What do you like best about the product?
CrateDB gives me an option to handling large amounts of time series data and other structured data efficiently. The integration of this tools is quite easy to your production line. It also comes with pretty basic example of hands on experience in using this integrated tools.
What do you dislike about the product?
I think for those who has limited experience with database will require longer learning curve. The tutor was great, however I hope the after sales service would go along with it.
What problems is the product solving and how is that benefiting you?
I am doing a digital twin for various water distribution networks in the european and asian landscape where we utilize real time data from sensors. CrateDB helps me in handling large volumes of time-series data efficiently and in real-time. This is crucial for monitoring and managing complex water systems, as it allows for real-time data ingestion, analysis and scalability
Fast setup and simple UX
What do you like best about the product?
The onboarding process to create an account and get a cloud cluster running was very easy and fast. I also like how they use Postgresql under the hood so you dont have to learn a new language. Integratio via javascript and python with sqlalchemy makes it easy to test and deploy production applications.
What do you dislike about the product?
The Admin dashboard's UI can be improved. Also, there is currently no way to control the database sharding.
What problems is the product solving and how is that benefiting you?
CrateDB will play a key role in managing time series data for tracking energy consumption patterns in real-time for my Utilities client. In this use case, CrateDB allows me to store and analyze massive amounts of energy meter readings, taken at frequent intervals across various locations. Its ability to handle continuous streams of data and execute complex queries quickly ensures that I can provide real-time insights into consumption trends. This helps in optimizing energy usage, forecasting demand, and identifying inefficiencies, ultimately driving cost savings and operational improvements for the business.
CrateDB offers an excellent balance between SQL simplicity and the power of NoSQL scalability
What do you like best about the product?
What I find most valuable about CrateDB is its ability to handle massive datasets with impressive speed and efficiency. It seamlessly combines the ease of SQL with the scalability of NoSQL, making it perfect for real-time data analysis in scenarios like IoT or machine data projects. CrateDB’s flexibility to store and query structured, semi-structured, and unstructured data, along with its high scalability and real-time processing capabilities, make it an excellent choice for applications needing fast, reliable, and scalable database solutions.
What do you dislike about the product?
The project is still so young that still no real world stress test have been conducted on it. It takes some time for companies to migrate from their comfort zone on their heart of the system, database, to a new system. As a result, we still have to wait and see what happens. Also, some featuers such as a good extension system and implementation of basic algorithms like Approximate Nearest Neighbors are missing.
What problems is the product solving and how is that benefiting you?
On the business side, due to similarity of cratedb syntax to postgresql, there is no need to hire a mongoDB expert to work on noSQL databases. Every database engineer with a basic knowledge of SQL can start to learn about cratedb and have the best of both worlds.
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