The startup recently raised $5 million in seed funding to advance what it describes as the first and only graph query engine. PuppyGraph’s zero-ETL engine is designed to allow users to query their ...

SQL is immensely popular as a query language for databases. Unfortunately, it doesn’t work for nested queries across heterogenous data the same way GraphQL does. Plus SQL’s syntax can be ...

With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Graph is here to stay. Even though graph databases have a history that goes back at least 20 years, it's only the last couple of years that it started getting in the limelight.The realization that ...

Developers can query Neo4j graph databases using RDF (Resource Description Framework) ... The query is elegant and efficient but has a learning curve for those used to writing SQL queries.

One thing is certain, however -- it was a bumpy ride. Ideas, people, and vendors vied for domination, before settling and coalescing around SQL, the by now de-facto query language.

TigerGraph Inc. aims to nudge its graph database closer to the mainstream market with enhancements announced today. The new features include better integration with popular relational and NoSQL ...

Cypher is the ‘SQL for graphs’ that has been missing in the Spark ecosystem, making the power of graph querying available to a much larger user base.” Neo4j is among a number of organizations that ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.