The thatDot team had a great time last week at Confluent’s big conference, Current 2024. We talked to a lot of folks about the power of Streaming Graph, an event stream processor with a graph data model.
In this article on InsideBigData, thatDot's Rob Malnati discusses the evolution of data architectures from batch toward a more real-time representation of the world. Often, this new way of dealing with data is essential as data processing demands change. "Batch processing is, and will remain, enormously useful for many everyday tasks. However, for all its utility, batch processing is at odds with how the world works. Whether you are talking about financial transactions, social media...
In this article on Datanami, Alex Woodie discusses the problems with current event stream processing data pipelines, and the advantages a graph paradigm could bring to the table, with thatDot technology spotlighted. He talks about how thatDot's Ryan Wright found himself having to rebuild the data pipeline infrastructure of multiple times, and how brittle and difficult to maintain it could be. “The more data pipelines you build, the more they start looking like the same thing,” Wright says....
“Enterprise data engineering teams are confined to the limitations and tradeoffs of the previous generation of event processing frameworks like Flink. They spend enormous time and effort building complicated event-driven architectures that only work on small time-windows of in-memory data and miss out on the bigger picture,” said Ryan Wright, the creator of Quine and founder/CEO of thatDot. “Quine can transform months of tedious data engineering into an afternoon’s work enabling data pipeline...