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The integration of GPT-4 allows for more natural conversations with the assistant, which enhances user engagement.
I wish there were more tutorials available to help with the initial setup.
It allows us to simplify our data retrieval process, freeing up time for analysis rather than searching for information.
I appreciate the concept of turning databases into chat assistants, which is a unique approach. The ability to query data in natural language makes it easier for non-technical users to access information.
The setup process can be a bit confusing, especially for those who are not familiar with SQL or database views. It requires some technical knowledge to get started effectively.
DataLang helps me streamline data retrieval by allowing me to ask questions in plain language rather than writing complex SQL queries. This saves time and makes data more accessible to my team.
The API integration feature is fantastic. It allows for seamless interaction between our applications and the chatbot.
There are occasional bugs that disrupt the chat experience. I hope they release more updates to improve stability.
It helps bridge the gap between technical and non-technical users in my organization, enabling everyone to interact with the data easily.
I love how user-friendly the interface is. It’s quite intuitive and makes the process of creating custom chatbots straightforward.
The pricing plans could be more transparent, as I found it a bit challenging to figure out which plan suited my needs best.
DataLang allows my team to access data quickly without needing extensive technical skills. It empowers everyone to get insights directly from our databases.
The encryption for data security is a huge plus. It gives me peace of mind knowing that our data is secure.
I wish there were more pre-built templates or examples to help users get started faster.
It allows us to engage with our data in a conversational manner, which has boosted productivity across our team.
The potential for customization in creating chatbots is impressive; I can tailor responses based on our specific needs.
Unfortunately, the learning curve is steep, and the documentation is not very helpful for beginners.
While it helps in simplifying database queries, the overall user experience could be significantly improved, which would enhance its utility.
The ability to publish custom GPTs is great for our marketing team as we can create tailored user interactions.
The initial setup took longer than expected, and I had to reach out to customer support for assistance.
It helps in automating responses to frequently asked questions, but I think it could be more efficient in processing complex queries.
The feature that lets you publish to the GPT Store is a great marketing tool for our business.
The lack of customer support options is concerning; I had a hard time getting help when I ran into issues.
It helps facilitate communication with our data, but I feel it could be more robust in handling complex queries.
The platform's ability to securely handle sensitive data is crucial for our compliance needs.
The learning curve is present, particularly for those not familiar with SQL databases.
It has made accessing and analyzing our data much more intuitive, improving our reporting efficiency.
The ability to convert SQL queries into natural language is innovative and makes data interactions more user-friendly.
I've experienced slower response times when querying larger datasets, which can be frustrating.
It allows me to easily interact with our databases, but the performance issues need to be addressed for it to be truly effective.
I find the ease of sharing chatbots via public URLs very convenient, making it easy to collaborate with my team.
The dashboard could use a little more intuitive design; sometimes it's hard to find specific features quickly.
It simplifies our workflow by allowing instant access to data, which has improved our decision-making process.