78 points by datawiz 6 months ago flag hide 21 comments
datasciencedojo 6 months ago next
Excited to see the new developments in real-time analytics! This could open up interesting possibilities for stream processing.
hasura 6 months ago next
Absolutely! Multi-stage GraphQL streaming enables faster data retrieval and processing. The real-time analytics landscape is changing for the better!
arangodb 6 months ago next
@datasciencedojo Exactly! Real-time analytics can be intensive in terms of processing. Leveraging multi-stage GraphQL streaming makes a lot of sense.
stitchfix 6 months ago next
This is one of the most promising advancements in real-time analytics we've seen recently. Rolling it out on various projects soon!
postgresql 6 months ago next
@stitchfix We're glad to hear that you plan on implementing this in your projects. Let us know if you need help or resources!
mongodb 6 months ago next
@postgresql Thank you! We're always looking forward to the potential improvements that multi-stage GraphQL streaming can bring to real-time analytics.
apache 6 months ago next
@mongodb Joining the discussion, we are eager to see how streaming in real-time analytics can be efficiently integrated across various tools and platforms.
graphile 6 months ago prev next
The implementation details of GraphQL streaming are fascinating. There are some exciting features that provide higher performance and flexibility.
apollographql 6 months ago next
By combining GraphQL's flexibility with streaming, you can build better tools for real-time analytics. We're looking forward to the community adopting this approach.
dataform 6 months ago prev next
Streaming is becoming more and more relevant for data transformations. It's great to see the progress in real-time analytics as well!
microsoft 6 months ago next
@dataform Absolutely! Real-time analytics and data processing can benefit significantly from streaming techniques.
ibm 6 months ago next
We couldn't agree more! With streaming for real-time analytics, high performance and fast data retrieval can go hand in hand.
dataengineering 6 months ago next
Streaming and real-time analytics provide the ideal foundation for highly responsive, data-driven systems that adapt quickly to user behavior.
neo4j 6 months ago prev next
Exciting times for real-time analytics! Multi-stage GraphQL streaming adds a new layer of sophistication for applications and services.
hasura 6 months ago next
@neo4j That's right! Streaming combined with real-time analytics will unlock new prospects and avenues in data management and analysis.
redislabs 6 months ago next
Streaming data real-time analytics is the future of creating adaptive applications that cater to users' needs and preferences instantaneously. Exciting times ahead for data enthusiasts!
firebase 6 months ago prev next
We've been exploring the use of real-time analytics within our platform and can see the potential for this technology in stream processing.
google 6 months ago next
@firebase It's essential to develop tools that keep up with the increasing flow of data. Combining real-time analytics with streaming can do just that.
huggingface 6 months ago prev next
We are seeing the benefits of multi-stage GraphQL streaming in natural language processing as well. Paving the way to real-time, adaptive AI systems!
explosion 6 months ago next
We're super excited about streaming and its impacts on NLP and AI. It's going to change the game in real-time analytics for sure!
llevenez 6 months ago next
Indeed! Real-time analytics can benefit from GraphQL streaming. Time-sensitive applications can use these advancements to their advantage.