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Participated in CrateDB workshop for using private data in generative AI
What do you like best about the product?
It is highly appreciated the integration of SQL
What do you dislike about the product?
It is complex working with time-series data
What problems is the product solving and how is that benefiting you?
Time-series data management and scalable data storage
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interesting, but nothing new
What do you like best about the product?
I found it was easy to use and intuitive
What do you dislike about the product?
It wasn't working properly during the workshop
What problems is the product solving and how is that benefiting you?
Mantain a vector database
Promising technology
What do you like best about the product?
Helpful team demonstrated the technology behind and practical application of CrateDB in a hands on workshop where it was integrated with LangChain to utilize its power combined with LLMs
What do you dislike about the product?
steep learning curve if you are not familiar with similar technolgy
What problems is the product solving and how is that benefiting you?
Streamlined data management by supporting various data models like time series, vector ect
High Performance Distributed Multimodal Database
What do you like best about the product?
CrateDB is High performance performance-distributed multimodal database. Data-driven applications in today's world require fast response times, real-time insights, and constant improvement, which can be very challenging when integrating multiple data sources and databases. CrateDB solves this problem by providing a unified representation for all types of data, enabling hyper-fast and scalable execution, and offering various deployment options.
What do you dislike about the product?
So far I haven't seen any downside. It's a multi-purpose database that can handle TSDB, Geospatial, vector for AI, etc.
What problems is the product solving and how is that benefiting you?
We are collecting data that are time-critical.
A powerful database with wide range of features
What do you like best about the product?
Easy to use, support for vector storage, timeseries etc., a single solution for multiple problems
What do you dislike about the product?
Learning curve is a bit complex due to lack of practical examples even though the documentation is quite good. However they seem to be working on making tutorials available, so it's bound to get better
What problems is the product solving and how is that benefiting you?
We were able to set up a custom monitoring solution to gather logs and analyse the behaviour of out ML models in real time using CrateDB's time series support
Efficient tool for Time series database
What do you like best about the product?
What makes CrateDB ineteresting is its scalability, distributed architecture, flexibility and hadndling both unstructured and structured data [with the focus on time-series].
What do you dislike about the product?
Needs more practical examples in tuturials. The execustion speed and UI can be improved
What problems is the product solving and how is that benefiting you?
Creating queries easily. Protecting and handling large amount of data
A distributed SQL database that offers several advantages for storing large amounts of data
What do you like best about the product?
Scalability and Flexibility: CrateDB combines the best of both worlds by providing the benefits of an SQL database along with the scalability and flexibility typically associated with NoSQL databases. It can handle tens of thousands of records per second without breaking a sweat, making it suitable for large-scale data ingestion.
Horizontally Scalable and Fault-Tolerant: CrateDB clusters run well in virtualized and containerized environments. They remain horizontally scalable, highly available, and fault-tolerant even under heavy load. This means you can easily expand your cluster as needed without compromising on performance or reliability.
Blazing-Fast Distributed Query Execution: CrateDB’s query execution engine parallelizes query workloads across the entire cluster, resulting in extremely fast query performance. Whetherwe run ad-hoc queries or complex aggregations, CrateDB handles them efficiently.
Horizontally Scalable and Fault-Tolerant: CrateDB clusters run well in virtualized and containerized environments. They remain horizontally scalable, highly available, and fault-tolerant even under heavy load. This means you can easily expand your cluster as needed without compromising on performance or reliability.
Blazing-Fast Distributed Query Execution: CrateDB’s query execution engine parallelizes query workloads across the entire cluster, resulting in extremely fast query performance. Whetherwe run ad-hoc queries or complex aggregations, CrateDB handles them efficiently.
What do you dislike about the product?
I like User-Defined Functions (UDFs) when we can extend CrateDB’s functionality by creating custom user-defined functions (UDFs). I feel CrateDB can extend these even more one day.
What problems is the product solving and how is that benefiting you?
Scaling
CrateDB is fast distributed and multimodel data base
What do you like best about the product?
I've been using CrateDB and am impressed with its performance and scalability. Its real-time SQL capabilities make it very easy to use and its distributed nature allows for effortless horizontal scaling. The SQL support ensures easy integration with existing workflows, and the community and support team have been very responsive. CrateDB's flexibility and ease of use have significantly enhanced the data handling capabilities for our customer and we are evaluating more use cases together. CrateDB is also a vector database, making it ideal for large language models (LLMs) and generative AI use cases, with the capability of adding context
Highly recommended for anyone in need of a robust, scalable database solution
Highly recommended for anyone in need of a robust, scalable database solution
What do you dislike about the product?
I am vey pleaesd i don't have any dislikes.
What problems is the product solving and how is that benefiting you?
We implemented CrateDB for one of our customers in Financial Services for log analysis. The speed and ease of use made it the database of choice for this use case
CrateDB is single consolidated db for most of the analytics and ML usecases
What do you like best about the product?
It provides best of both worlds, for unstructured and structured data. As it inbuilt lucene features it helps us to do faster queries, while the Postgres wire protocol provides as easy to manage integration with existing applications.
What do you dislike about the product?
None experienced so far in our usage and application development.
What problems is the product solving and how is that benefiting you?
We ingest user interactions with one of the e commerce platform and then this data is fed to real time sales and analytics insights.
To showcase analytics dashboard and also let stakeholders query adhoc without creating more tech choices, crateDB is the best platform.
To showcase analytics dashboard and also let stakeholders query adhoc without creating more tech choices, crateDB is the best platform.
Efficiently Scalable with a Learning Curve
What do you like best about the product?
I appreciate CrateDB's ability to handle massive amounts of data with ease, thanks to its distributed architecture. It scales efficiently, making it a great choice for time-series data, IoT applications, and any scenario requiring high write and read speeds.
What do you dislike about the product?
While CrateDB boasts impressive performance and scalability, its learning curve can be steep for those not already versed in distributed database management. The documentation, though extensive, sometimes lacks practical examples, making it challenging for new users to implement specific features or troubleshoot issues.
What problems is the product solving and how is that benefiting you?
Handling Large-Scale Data
Real-Time Data Analysis
Ease of Use with SQL
Simplified Data Architecture
Real-Time Data Analysis
Ease of Use with SQL
Simplified Data Architecture
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