Dataherald
3.55
0
Dataherald allows natural language queries of structured databases, automating data retrieval and analysis for business users.
What is Dataherald?
Dataherald is an AI tool designed to allow business users to easily query their structured databases using natural language. It automates data retrieval and analysis, eliminating the need for SQL expertise and enabling users to obtain quick data insights effortlessly. One key advantage of using Dataherald is that it frees up data teams from low-value tasks, allowing them to focus on more strategic initiatives while the tool takes care of automated data fetching and analysis. The tool also integrates seamlessly with existing data infrastructure, ensuring data consistency and reliability by leveraging the user's data warehouse. Overall, Dataherald offers business users the ability to make natural language queries without requiring SQL knowledge, optimizes efficiency by streamlining data retrieval and analysis, and provides integration with tools like Slack for easier access to data insights.
Who created Dataherald?
Dataherald was created by a team of developers for developers, focusing on providing natural language-to-SQL solutions. The platform was launched on February 6, 2023, offering easy integration with existing data infrastructure, automation of data retrieval and analysis, and features such as Slack support. The company behind Dataherald offers a self-serve hosted API with usage-based pricing and provides a free trial with $50 credits for initial testing.
How to use Dataherald?
To use Dataherald, follow these steps:
- Sign up for an account at Dataherald's website and access $50 free starter credits to connect your database and start making queries.
- Utilize the training feature by uploading Golden SQL queries to enhance the AI agent's performance. Around 10 training queries are recommended for optimal results.
- Experiment with fine-tuning on GPT-3.5 Turbo to identify performant Golden SQL sets, then switch to fine-tuning on GPT-4 for higher performance.
- Reach out to Dataherald to upgrade to a custom enterprise plan or make changes to your existing plan.
- Cancel your plan at any time; you'll only be billed at the end of each month for queries used and fine-tuning jobs performed.
- Enjoy the benefits of Dataherald, such as effortless database analysis, quick data insights, and freeing up data teams from low-value tasks.
- Integrate Dataherald seamlessly with your data warehouse and leverage its natural language capabilities to retrieve and analyze data effectively.
- Take advantage of the Slack integration to get insights quickly by conversing with the Dataherald bot.
- Optimize efficiency by eliminating the need for SQL knowledge, allowing data teams to focus on high-value tasks, and streamlining data retrieval.
By following these steps, you can effectively use Dataherald to query your structured databases and gain valuable data insights without requiring SQL expertise.
Pros
- Effortless database analysis
- No SQL knowledge needed
- Quick data insights
- Automatic retrieval and analysis
- Frees up data teams
- Enhances data consistency
- Reliable data
- Seamless data infrastructure integration
- Works with existing data warehouse
- Streamlined data retrieval
Cons
- No SQL support
- Limited integrations
- Dependent on structured databases
- Not available immediately (waitlist)
- Uses only natural language queries
- Inadequate for complex queries
Dataherald Pricing and plans
Paid plans start at $0.50/query and include:
- Admin UI for configuration and observability
- Self-serve hosted API
- Get $50 free credits
- Best for most use cases - get started in minutes
- Dedicated account manager + Slack Support
- Automated data retrieval and analysis
Dataherald FAQs
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How does the free trial work?
- You can create an account with $50 of starter credits to connect a database, ask queries, and fine-tune models. After your trial credits are used, continue with a pay-as-you go subscription.
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How does fine-tuning work?
- After connecting a database, you can upload training queries known as Golden SQL, which will improve the agent's performance. We recommend fine-tuning with around 10 training queries for best results.
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What is the difference between fine-tuning on GPT 3.5 Turbo vs GPT-4?
- Finetuning GPT-3.-5-turbo is good for experiments to find the performant Golden SQL sets. After finding the final performant settings, you can fine-tune on GPT-4 which will produce higher performance.
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Can I increase my limits or change my plan?
- Yes, you can reach out to us at any time to upgrade to a custom enterprise plan.
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What is your cancellation policy?
- You can cancel your plan at any time and you'll only pay for the queries used. The total cost of queries asked and fine-tuning jobs performed will be billed at the end of each month.
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How can I integrate my data warehouse with Dataherald?
- Integration occurs seamlessly with your data warehouse. Exact processes for integration will depend on the specifics of your data warehouse, but Dataherald is designed to easily mesh with existing data infrastructure.
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Does Dataherald require knowledge of SQL?
- No, Dataherald does not require knowledge of SQL. Its core functionality is to enable users to query their structured databases with natural language, thereby replacing the need for SQL expertise.
Get started with Dataherald
Dataherald reviews
James Harris
January 10, 2025
What do you like most about using Dataherald?
I appreciate how Dataherald allows me to query data in natural language without needing SQL skills. It saves time in data retrieval.
What do you dislike most about using Dataherald?
The interface can be a bit clunky at times, and I find that it struggles with more complex queries.
What problems does Dataherald help you solve, and how does this benefit you?
Dataherald helps me quickly get insights from our database, which is great for making data-driven decisions without needing to depend on our data team.
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Nguyen Minh
December 31, 2024
What do you like most about using Dataherald?
The idea of querying data in natural language is innovative and can be useful.
What do you dislike most about using Dataherald?
However, I find that the tool often returns incomplete or inaccurate data, which can be frustrating.
What problems does Dataherald help you solve, and how does this benefit you?
While it was supposed to streamline data access, the inaccuracies have actually increased my workload because I need to verify the results.
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Priya Kumar
December 17, 2024
What do you like most about using Dataherald?
I love how it simplifies the data retrieval process, especially for someone without a technical background like me.
What do you dislike most about using Dataherald?
Sometimes the response time is slower than expected, particularly during peak hours.
What problems does Dataherald help you solve, and how does this benefit you?
It allows me to generate reports quickly, which helps in making timely business decisions without needing help from the IT team.
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