Building big databases at @OpenAI. Previously Rockset and Facebook.

San Francisco
Joined April 2009
This is happening now! Come see what's under the hood of @RocksetCloud.
Today's ¡Databases! Seminar Speaker: Ben Hannel will talk about dynamically typed SQL execution in @RocksetCloud. Zoom talk is open to public at 4:30pm ET. YouTube video will be available afterwards: db.cs.cmu.edu/events/databas…
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Love seeing this!!
I’m absolutely in ❤️ love with Rockset. We now have streaming ETL using their write API. ( including real-time deletes ) Every field is indexed! Including nested JSON fields. Queries that took 6sec take 500ms now. I just bought back so much of our teams time.
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Igor Canadi retweeted
The two major trends in data are speed & scale. The team at @RocksetCloud @iamveeve @dhruba_rocks @tudor @igorcanadi have broken the speed/scale barrier to build modern data applications on a real-time analytics database.
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@RocksetCloud is on a mission to eliminate all the cost and complexity associated with real-time analytics. Today's Rollup launch is a very important milestone in this journey. Read more👇
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Very excited about our Series B today! A great milestone on our mission to build some of the finest database tech, optimized for developers. P.S. We are hiring - DMs are open.
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Dream team!
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Igor Canadi retweeted
The Secret Sauce Behind @RocksetCloud Fast Queries is converged indexing. @igorcanadi goes deeper here: rockset.com/blog/converged-i…
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What's the fastest we can load the data into @RocksDB? New blog post listing some of the optimizations that resulted in 20x performance win at @RocksetCloud : bigger batches, parallel writes, no memtable, no compactions. rockset.com/blog/optimizing-…
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Igor Canadi retweeted
Just added @RocksetCloud's Kafka Connector to the Confluent hub. confluent.io/hub/rockset/kaf…
Igor Canadi retweeted
@RocksetCloud's converged indexing is simply indexing almost everything, both at the top level and for nested fields. We detect the type of the value and index it in a type-appropriate manner: lexicographic ordering for strings, arithmetic ordering for numbers, etc. 1/2
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Igor Canadi retweeted
We're growing here at @RocksetCloud! Building a fast, feature-rich real-time analytics engine— full SQL on loosely structured data. LMK if you have a background in high-performance C++ systems work, compilers, DB engines, search engines, compression, low-level optimizations...
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Rockset data store looks quite impressive. Worth checking out.
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Data Council SF '19 Speaker Announcement: @igorcanadi from @RocksetCloud will talk about "Architecting Low-latency Schema-less #SQL Engine". Book your tickets now bit.ly/2UDwggF #datascience #datacouncil
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Come hear @dhruba_rocks and me speak at @strataconf next Thursday! We'll talk about converged indexing, a new technology we are developing at @RocksetCloud . *back to writing slides*
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Rockset is GA today!
1/ With @rocksetcloud's GA today we are seeing the beginning of the next chapter of cloud computing. Rockset is building the first serverless search and analytics engine to turn messy data into apps without ETL! rockset.com/press/rockset-an…
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Podcast episode with @dhruba_rocks and me about @RocksDB! We share RocksDB's history, give a brief technical overview and also talk about work we are doing at @RocksetCloud. Thanks for hosting us @the_prion, it was a fun conversation.
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Raise your hand if you ever had to deal with horrible Excel Spreadsheets. Now you can attack them with oldest tool in the box, SQL: towardsdatascience.com/compl…
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<3
My final act at @CockroachDB was writing this love letter to @RocksDB. Come for the log-structured merge trees, stay for the prefix-key bloom filters that are crucial for lowered read amplification when layering multi-version concurrency control: cockroachlabs.com/blog/cockr…
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Igor Canadi retweeted
Kafka is awesome - can do so much more than send data to S3! We're running full SQL analytics (including joins with other data) and building real-time dashboards & apps on raw event data with Kafka+Rockset rockset.com/blog/real-time-a… … cc @apachekafka @nehanarkhede @jaykreps
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It was awesome how quickly @arikfr moved to add support for @RocksetCloud in @getredash. Thanks for building a great product!
Just in time for Christmas (or too late for Hanukkah 🤷‍♂️), we introduce: Redash v6. blog.redash.io/just-in-time-… In this release we added support for @RocksetCloud, @databricks, @druidio, @ApacheKylin, and IBM DB2. ⬇️
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