Paul Dudley (@paulfdudley) 's Twitter Profile
Paul Dudley

@paulfdudley

Co-Founder @Streamkap

ID: 24011275

linkhttps://streamkap.com/ calendar_today12-03-2009 19:17:24

1,1K Tweet

329 Followers

1,1K Following

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Off-schedule newsletter by Paul Dudley on a Tuesday! ๐Ÿคซ But heyโ€”had to share thoughts on a $1B Postgres acquisition. streamkap.substack.com/p/htap-is-deadโ€ฆ

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๐Ÿ”Œ Streamkap Connector Series: Apache Pinot (StarTree ) Why should Apache Pinot be on your radar for user-facing analytics? Because it's built for it. Real-time OLAP, sub-second queries, massive scale. But streaming into it? Thatโ€™s where things get tricky. ๐Ÿ‘‡

๐Ÿ”Œ Streamkap Connector Series: <a href="/ApachePinot/">Apache Pinot</a>  (<a href="/startreedata/">StarTree</a> )

Why should Apache Pinot be on your radar for user-facing analytics?

Because it's built for it.
Real-time OLAP, sub-second queries, massive scale.
But streaming into it? Thatโ€™s where things get tricky. ๐Ÿ‘‡
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๐Ÿšจ Streamkap Tutorial Drop: Real-Time Streaming from Amazon Web Services DynamoDB โžœ Databricks ๐Ÿ“˜ Tutorial #8: From Operational NoSQL to Analytical Lakehouse Build a direct, real-time pipeline for live analyticsโ€”no batch jobs, no scripts.

๐Ÿšจ Streamkap Tutorial Drop: Real-Time Streaming from <a href="/awscloud/">Amazon Web Services</a> <a href="/dynamodb/">DynamoDB</a>  โžœ <a href="/databricks/">Databricks</a> 
๐Ÿ“˜ Tutorial #8: From Operational NoSQL to Analytical Lakehouse
Build a direct, real-time pipeline for live analyticsโ€”no batch jobs, no scripts.
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This week, Paul Dudley nails it: Context โ€” not model size โ€” will define who wins in applied AI. At Snowflake Summit, Sam Altman emphasized longer context windows, memory & retrieval. Shopify's CEO? Says itโ€™s not about prompt engineering anymore โ€” itโ€™s context engineering.

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๐Ÿšจ New Tutorial Released: Real-Time Streaming from DynamoDB to Databricks โ€” No Glue, No Lag. We show you how to stream live data from DynamoDB into Databricks SQL using Streamkap โ€” securely, reliably, and FAST. ๐Ÿชถ The data speaks โ€” if you let it flow.

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๐ŸŽ‰ New Feature Drop: Read-Only Snapshot + Heartbeat Support is here! Weโ€™ve just rolled out 2 new options to improve connector reliability and support more database environments. Letโ€™s break it down ๐Ÿ‘‡ #ProductAnnouncement #CDC #DataStreaming #DataEngineering #ChangeDataCapture

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๐Ÿšจ Streamkap Tutorial Drop: Real-Time MySQL โžก๏ธ MotherDuck via AWS ๐Ÿ“˜ Tutorial #9: Stream relational data to serverless analytics in under 15 minutes. Batch ETL is dead. Real-time is here. ๐Ÿงต [1/3] #RealTimeData #MySQL #AWS

๐Ÿšจ Streamkap Tutorial Drop: Real-Time <a href="/MySQL/">MySQL</a> โžก๏ธ <a href="/motherduck/">MotherDuck</a>  via AWS

๐Ÿ“˜ Tutorial #9: Stream relational data to serverless analytics in under 15 minutes.

Batch ETL is dead. Real-time is here.

๐Ÿงต [1/3]
#RealTimeData #MySQL #AWS
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๐Ÿš€ ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ค๐š๐ฉ ๐‚๐จ๐ง๐ง๐ž๐œ๐ญ๐จ๐ซ ๐’๐ฉ๐จ๐ญ๐ฅ๐ข๐ ๐ก๐ญ: @tinybirdco โšก Real-time data APIs powered by SQLโ€”Tinybird turns raw events into lightning-fast insights. Now with a purpose-built Streamkap connector for ultra-low-latency ingestion. ๐Ÿ‘‡ (1/3)

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๐Ÿš€ Streaming Just Got a Whole Lot Quackier Weโ€™re excited to share a guide from Oli Dinov ๐Ÿ’™: Real-Time MySQL to MotherDuck Streaming with Streamkap ๐Ÿฆ†๐Ÿงข Shift Left = validate, clean & transform data at the source. Catch schema drift early, keep data analytics-ready from day one.

๐Ÿš€ Streaming Just Got a Whole Lot Quackier

Weโ€™re excited to share a guide from <a href="/olidinov/">Oli Dinov ๐Ÿ’™</a>:
Real-Time MySQL to <a href="/motherduck/">MotherDuck</a>  Streaming with <a href="/Streamkap/">Streamkap</a> ๐Ÿฆ†๐Ÿงข
Shift Left = validate, clean &amp; transform data at the source. Catch schema drift early, keep data analytics-ready from day one.
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๐Ÿ’ฅ Think your ETL is fast? Watch this. From Oracle MySQL โ†’ MotherDuck in under 1s latency, fully serverless, and built live in 15 minutes. In this video demo, youโ€™ll see: ๐Ÿ‘‡ ๐Ÿ‘‡

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๐Ÿšจ ๐๐ž๐ฐ ๐“๐ฎ๐ญ๐จ๐ซ๐ข๐š๐ฅ: MongoDB โ†’ Snowflake in real time. Snowpipe Streaming + Dynamic Tables, powered by Streamkap CDC. Sub-second end-to-end (~350 ms) at lower cost than batch. streamkap.com/blog/streamingโ€ฆ

๐Ÿšจ ๐๐ž๐ฐ ๐“๐ฎ๐ญ๐จ๐ซ๐ข๐š๐ฅ: <a href="/MongoDB/">MongoDB</a>  โ†’ <a href="/Snowflake/">Snowflake</a>  in real time. Snowpipe Streaming + Dynamic Tables, powered by Streamkap CDC. Sub-second end-to-end (~350 ms) at lower cost than batch.

streamkap.com/blog/streamingโ€ฆ
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๐Ÿš€ Streamkap has joined the Snowflake Startup Accelerator. The program brings funding, technical guidance, and co-marketing so we can build even better Snowflake-first, low-latency streaming data products for customers.

๐Ÿš€ Streamkap has joined the <a href="/Snowflake/">Snowflake</a> Startup Accelerator. The program brings funding, technical guidance, and co-marketing so we can build even better Snowflake-first, low-latency streaming data products for customers.