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Description

GraphQL APIs can be used to combine multiple data sources. Features: Code-first GraphQL: Save time by coding efficiently using our code-first approach. Built for Node.js in Typescript: Combine the power of Typescript with the flexibility of Node.js. Connect to Multiple Datasources : Seamlessly connect Postgres, MySql and other data sources. Instant GraphQL: Get your API running quickly with automatic queries, mutations and mutations. One Command Import: Import an existing database using a simple command line tool.

Description

PuppyGraph allows you to effortlessly query one or multiple data sources through a cohesive graph model. Traditional graph databases can be costly, require extensive setup time, and necessitate a specialized team to maintain. They often take hours to execute multi-hop queries and encounter difficulties when managing datasets larger than 100GB. Having a separate graph database can complicate your overall architecture due to fragile ETL processes, ultimately leading to increased total cost of ownership (TCO). With PuppyGraph, you can connect to any data source, regardless of its location, enabling cross-cloud and cross-region graph analytics without the need for intricate ETLs or data duplication. By directly linking to your data warehouses and lakes, PuppyGraph allows you to query your data as a graph without the burden of constructing and maintaining lengthy ETL pipelines typical of conventional graph database configurations. There's no longer a need to deal with delays in data access or unreliable ETL operations. Additionally, PuppyGraph resolves scalability challenges associated with graphs by decoupling computation from storage, allowing for more efficient data handling. This innovative approach not only enhances performance but also simplifies your data management strategy.