Also known as: Dataherald (YC W21)
Embed NL-to-SQL into your product to enable natural language querying of databases.
Business users lack SQL skills to query databases, relying on data teams for insights, which delays access and burdens teams.
Business users lack SQL skills to query databases, relying on data teams for insights, which delays access and burdens teams.
NL-to-SQL API translates natural language to SQL, enabling instant database queries without coding via product embedding and integrations like Slack.
NL-to-SQL API translates natural language to SQL, enabling instant database queries without coding via product embedding and integrations like Slack.
Appears active as of 2024 based on company profiles and funding mentions.
Appears active as of 2024 based on company profiles and funding mentions.
Dataherald provides an API that converts natural language queries into SQL commands, allowing developers to integrate conversational database access into applications. This tool targets the data analytics and business intelligence sectors, enabling non-technical users to interact with structured data without SQL expertise.[1][5][6]
The platform uses large language models to translate plain English questions into executable SQL queries. It supports integration with data warehouses and tools like Slack, facilitating quick data insights and visualizations. Business users can ask ad-hoc questions and receive responses in seconds, automating retrieval and analysis processes.
Dataherald provides an API that converts natural language queries into SQL commands, allowing developers to integrate conversational database access into applications. This tool targets the data analytics and business intelligence sectors, enabling non-technical users to interact with structured data without SQL expertise.[1][5][6]
The platform uses large language models to translate plain English questions into executable SQL queries. It supports integration with data warehouses and tools like Slack, facilitating quick data insights and visualizations. Business users can ask ad-hoc questions and receive responses in seconds, automating retrieval and analysis processes.
Total Raised: Seed funding including Convertible Note
Last Round: Convertible Note
Total Raised: Seed funding including Convertible Note
Last Round: Convertible Note
API SaaS
API SaaS
Developers embedding analytics, businesses in data analytics and BI sectors
Developers embedding analytics, businesses in data analytics and BI sectors
Company profiles updated with funding and employee info as of 2024.
Hiring: unknown
Company profiles updated with funding and employee info as of 2024.
Hiring: unknown
Dataherald integrates seamlessly with existing data infrastructure, including data warehouses, to maintain consistency and reliability. Slack integration allows conversational data access via a bot. It eliminates the need for SQL knowledge, freeing data teams for strategic tasks while empowering business users.[3]
Dataherald integrates seamlessly with existing data infrastructure, including data warehouses, to maintain consistency and reliability. Slack integration allows conversational data access via a bot. It eliminates the need for SQL knowledge, freeing data teams for strategic tasks while empowering business users.[3]
Primarily designed for embedding into products, Dataherald suits applications requiring embedded analytics. It streamlines internal data access within communication tools and search functionalities, supporting sectors needing real-time insights without technical barriers.[1][6]
Primarily designed for embedding into products, Dataherald suits applications requiring embedded analytics. It streamlines internal data access within communication tools and search functionalities, supporting sectors needing real-time insights without technical barriers.[1][6]
Offered as an API service, Dataherald enables product embedding for enhanced data capabilities. Backed by investors including Y Combinator, it emphasizes scalability and innovation in generative AI for data querying.[2][5]
Offered as an API service, Dataherald enables product embedding for enhanced data capabilities. Backed by investors including Y Combinator, it emphasizes scalability and innovation in generative AI for data querying.[2][5]
Dataherald operates in a growing field of NL-to-SQL solutions, focusing on API embeddability for products. Its YC backing and focus on developer integration distinguish it in business intelligence tools.[1]
Dataherald operates in a growing field of NL-to-SQL solutions, focusing on API embeddability for products. Its YC backing and focus on developer integration distinguish it in business intelligence tools.[1]
Users benefit from effortless database querying, automatic data handling, and optimized efficiency. The tool enhances data-driven decision-making by making structured data accessible via everyday language.[3]
Users benefit from effortless database querying, automatic data handling, and optimized efficiency. The tool enhances data-driven decision-making by making structured data accessible via everyday language.[3]
