Balaji Varadarajan

[Vinoth Chandar @byte_array]

🚀 Quanton now also powers Apache Iceberg natively — delivering 3× faster Spark workloads!

When we launched Quanton, the goal was ambitious: make Spark truly lakehouse-optimized — faster, smarter, and format-aware.

👇

[Malhar Patel @malharhar]

😀🚗
https://t.co/mPhwOxmADc

[Balaji Varadarajan @varadarb]

🚀 @ApacheHudi's new pluggable table formats are here! I blogged how this empowers our 7yr OSS community to innovate beyond vendor wars & unfair "burdens of proof." Technical merit over hype! 👇 https://t.co/mHN0DaVF5G

#ApacheHudi #OSS #DataEngineering #TableFormat

[Robinhood @RobinhoodApp]

https://t.co/gQsVEsc4Lq

[SiliconANGLE @SiliconANGLE]

Onehouse open-sources its OneTable data tool with support from Google and Microsoft https://t.co/ibysEwA3OY

[Kyle Weller @KyleJWeller]

Lakehouse at FORTUNE 1 SCALE at Walmart with Apache Hudi 🔥🚀

Walmart engineering team did comprehensive research and comparison of #ApacheHudi #ApacheIceberg #DeltaLake

https://t.co/uXYLREBOHu

#datalakehouse #datalake #dataengineering #dataanalytics

[Onehouse @Onehousehq]

Awesome work done by the #ApacheHudi community to bring the power of the #Lakehouse to #SQLusers at @getdbt.
#ApacheSpark #DataEngineering #DataAnalytics

[Balaji Varadarajan @varadarb]

Benchmark needs to be reproducible, open and fair ...

[Onehouse @Onehousehq]

With growing interest in TPC-DS benchmarks for #lakehouse technologies like #ApacheHudi, #DeltaLake & #ApacheIceberg, we wanted to correct a recently publicized study. Here is a transparent, reproducible benchmark of the leading projects 👀 #DataAISummit
https://t.co/NvHOcqdrfc

[Balaji Varadarajan @varadarb]

@gunnarmorling Thanks @gunnarmorling. Happy to add RH to the Debezium users list. Will open a PR soon.

[Balaji Varadarajan @varadarb]

Building and scaling a near-realtime data ingestion to data lake is not a simple undertaking but the awesome OSS systems - #apachehudi and #debezium made life lot easier for us - Checkout out our blog : https://t.co/2vfAIiRNLC

[Vinoth Chandar @byte_array]

I am thrilled to start my first company around a problem that has been my passion for over 10 years now-“open data infrastructure”. Today, we announced @OnehouseHQ, to usher in a new era of managed data lakes with funding from @Greylock and Addition. Check out our intro blog!

[Balaji Varadarajan @varadarb]

@byte_array Can't agree more... A highly performant metadata-layer will be a key piece in cloud lakes.
Hudi's Timeline Metaserver - A battle tested service is a perfect vehicle to manage and serve the metadata payload.

[Apache Hudi @apachehudi]

@byte_array and @varadarb presented the Connect Sink for @apachekafka => #ApacheHudi yesterday at #KafkaSummit . Check it out here and engage to help ship it in our next release!
#streamprocessing
#datalake #bigdata https://t.co/zK2uMHsC5K

[Apache Hudi @apachehudi]

What’s cooler than lots of petabytes? An exabyte! Read how #ByteDance, which operates services like #TikTok built an exabyte scale #DataLake on #ApacheHudi

#BigData #analytics
#DataScience #Architecture

https://t.co/j3aWj1KFzw

[Apache Hudi @apachehudi]

We are thrilled to announce the 0.9.0 release with #spark #sql #dml support, tons of #ApacheFlink love, massive write perf improvements, new deltastreamer sources. Blogs to follow! Big thanks to the entire community! #bigdata #DataLake #data #Analytics https://t.co/xQVbYoIbYz

[Apache Hudi @apachehudi]

Today. We present a coherent vision to bring #stream #processing on a #Datalake ! https://t.co/MpkBjZgHvs #BigData #Analytics #DataScience #architecture

[CloudChangelog @CloudChangelog]

Amazon Athena expands Apache Hudi support https://t.co/bSYRVDbnj8 #AWS #Amazon

[Gary A. Stafford @GaryStafford]

Community Roundtable with @AhanaIO: Open Data Lakes with Presto, Apache Hudi & AWS Glue and S3 – the next generation of analytics - Tuesday, July 27th at 10am PT/ 1pm ET https://t.co/tG1JghcH9G

[Vinoth Chandar @byte_array]

2/13th of @apachehudi PMC finally met in person after more than a year!! 😀😀

[Apache Hudi @apachehudi]

Thanks to Danny Chan, @vinoyanghua, @leesf456 , liwei and everyone who made this happen!