In the current Al landscape, being locked into a single ecosystem is a strategic bottleneck. We’ve built Core42 to be a neutral backbone and a force multiplier for scale, uniting leaders in silicon, cloud, and software. By utilizing different compute architectures -from @nvidia to @AMD and @cerebras - we ensure you have the optimal price-performance for your specific workload, regardless of the vendor. In a world of proprietary walls, we are building the open bridge. #Core42 #VendorAgnostic #HeterogeneousCompute #Allnfrastructure #PricePerformance

Achieve the best #pricePerformance for your #DataEngineering workloads in #microsoftFabric by enabling #NativeEngine @JustynaLucznik #bestSparkOnAzure #NativeEngine #fabconEU

Specify your intent and let the system choose the best #pricePerformance configuration for your #dataEngineering workloads on #microsoftFabric with #ResourceProfiles @JustynaLucznik #FabCon2025 #fabconEU2025

🧪 TPC-DI is better than TPC-DS for ETL workloads — but is it good enough? Read Databricks' recent take (and Shannon’s benchmark deep dive) with interest. It’s refreshing to see industry leaders debating real ETL performance, not just SQL query speeds. At Onehouse, we agree: ETL needs its own benchmark, and TPC-DI is a step in the right direction. Running TPC-DS to measure ETL costs is a good way to set your money 💶 on fire🔥. But here’s the hard truth: even TPC-DI falls short. 📉 It doesn’t capture record-level updates to fact tables. 📉 It lacks real-world incremental patterns seen in streaming and CDC-heavy workloads. 📉 It doesn’t account for table maintenance or compaction costs that dominate lakehouse TCO. We cover this extensively in the blog below, which includes open-source tooling. Designed for modern, mutable data platforms, it reflects how real teams run ETL in 2025: incrementally, concurrently, and at streaming scale. We also released an interactive calculator to help teams compare costs across Snowflake, Databricks, EMR, and more, using their actual workloads. 💡 To know what you’re really paying for ETL, check these out. 🔗 onehouse.ai/blog/measuring-e… with an interactive calculator to help teams compare costs across Snowflake, Databricks, EMR, and more, using their actual workloads 🔗 pypi.org/project/spark-analy… to analyze stage-level costs of your Spark jobs #ETL #DataLakehouse #Benchmarking #ApacheHudi #TPCDI #StreamingData #DataEngineering #OpenData #PricePerformance #OpenSource #Onehouse #Databricks #Snowflake #DataOps #CostEfficiency

🚨 Bell Canada has picked Groq as its exclusive inference provider - fully betting on us over alternatives like Nvidia. It’s a clear signal: control and price performance matter. And Groq delivers. Build Fast. Full story here: 🔗 groq.com/news_press/groq-bec… #Groq #BellCanada #PricePerformance #BuildFast

The Native Execution Engine in Microsoft Fabric Spark is now Generally Available! 🚀 This is a game-changer for #Fabric #DataEngineering users, bringing significant performance enhancements like support for merge, optimization on row to columnar conversions, incremental metric support, making it the best Spark on Azure for achieving the best #PricePerformance These performance enhancements mean you can now achieve the best price-performance on Fabric Spark compared to other Spark offerings. Learn more about these powerful enhancements and how they can benefit your workloads from my latest blog : blog.fabric.microsoft.com/en… #Build2025 #microsoftFabric #dataengineering #nativeExecutionEngine #Analytics #Spark #Fabric #BestSparkOnAzure #MicrosoftBuild @JusynaLucznik @cmfinlan @bogdanC_guid

Cloud data costs are rising, and over 50% of that spend goes into ETL workloads. But how do you 𝘢𝘤𝘤𝘶𝘳𝘢𝘵𝘦𝘭𝘺 measure the price-performance of these critical pipelines across data lakehouses, Spark platforms and cloud warehouses? At Onehouse, we went deep into this question. The result? A comprehensive new benchmarking study and an open-source tool – “Lake Loader”-- that captures real-world incremental loading patterns across fact, dimension, and event tables and more—that are often overlooked by traditional benchmarks like TPC-DS or even TPC-DI. 💡 In this blog: • We break down 𝘄𝗵𝘆 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗘𝗧𝗟 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀 𝗳𝗮𝗹𝗹 𝘀𝗵𝗼𝗿𝘁 in today’s hybrid, real-time, open data environments • Examine data from production and OSS communities to unpack what’s missing in current benchmarks. • Introduce a 𝘀𝗶𝗺𝗽𝗹𝗲 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝘁𝗼𝗼𝗹 to measure incremental loads at scale • Finally, share an 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗼𝗿 to estimate TCO across platforms like Snowflake, Databricks, EMR, and others If you care about 𝗰𝗼𝘀𝘁-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗱𝗮𝘁𝗮 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 or want to understand how emerging data patterns like event streams, mutable tables, and concurrency impact spend, this is a must-read. 🔍 Explore the blog and try the calculator: onehouse.ai/blog/measuring-e… #ETL #CloudDataPlatforms #DataEngineering #PricePerformance #DataLakehouse #OpenData #OpenTableFormats #Benchmarking #Onehouse #DataOps #StreamingData #TCO #BigData #OSS #DataWarehouse #AWS #Databricks #Snowflake

yeah all green but the most important, i repeat, THE MOST IMPORTANT PART is missing, dear "clever" poster @UnofficiallyRod : --------------------------------------------------------- ❌No Priceperformance!!! ( since more than 1000 days DOWN!!!!! ------------------------------

Following a flash crash caused by the "Kimchi premium," Bitcoin traders are regrouping and beginning to feel more optimistic about the cryptocurrency. BTC's price performance is slowly improving and many experts believe that the price has hit its bottom at $94K. With this recent dip, traders are seeing a buying opportunity and are confident that BTC will continue to rise in the short term. #Bitcoin #BTC #cryptocurrency #KimchiPremium #flashcrash #traders #bullish #priceperformance #CryptoGaneNexus Wed, 04 Dec 2024 11:26:06 0000 ☝️ READ MORE NEWS ☝️

Adoption is less about tech and more about price performance. 🎭 Sure, cutting-edge tech is great. We love faster transactions, lower fees, and all the shiny features… but let’s be real—what really drives mass adoption? 🚀 🔥 It’s price performance “Green Candles” that gets people talking, sharing, and most importantly—investing. The better the price charts, the faster the buzz spreads, the larger the user base grows. 📈 🔍 Look at Bitcoin, Ethereum, Doge or even SOL. It wasn’t the tech innovations that attracted the masses; it was the massive price rallies. Whether you agree or not, the market moves with the money, not just the tech. 💰 What’s your thought? 💭 #PricePerformance #CryptoAdoption #DeFiRevolution #PulseChain #DOGE #Bitcoin #Ethereum #Solana

😂🚀 Let’s Be Real, Fellas... 🚀😂 Who needs sexy women when you’ve got sexy price performance? 📈💰 In the world of crypto, the only curves we’re chasing are those on the charts. 😎🔥 #Crypto #PricePerformance #Hodl #Priorities

5 Reasons Why Ethereum (ETH) Is Much Stronger Than Bitcoin (BTC) Right Now news.nbtc.finance/5-reasons-… "#PricePerformance #MtGox #GermanGovernment #Ethereum2.0 #ETHETF #Crypto #Ethereum #NBTC"

DynamoDB vs. ScyllaDB: A Price Performance Comparison thenewstack.io/dynamodb-vs-s… by Eliran Sinvani @ScyllaDB #Sponsored #DynamoDB #PricePerformance

🚀 Incredible news! @THORChain has better price execution than @uniswap , etc, Across ERC20s, CEXs, DEXs, long tail, or short tail assets, it doesn't matter! Objectively, @THORChain boasts the best price execution (as low as 5 bps). 🌟 #THORChain #CryptoNews #PricePerformance

📈 Price Performance Highlights: • Opening Price: $0.02570 • Closing Price: $0.02169 • Highest Price: $0.02672 • Lowest Price: $0.02111 Stay informed, stay empowered! 💱📊 #CSIX #PricePerformance

You still have to agree that RH wants whats best for priceperformance? If you had to choose between SSS with limp gains or without SSS and great gains!? Atleast thats my view..

#FEG’s #priceperformance is #amazing ⚡️

Everyone’s calling it the end for Bitcoin due to priceperformance. But is anyone saying it’s over for Disney, pack it up, because it is down 40% YTD?

"Use the data. Don't move it!" @Hillary_Ashton This has long been the vision for federated analytics! & we're finally there. Only took 20 years or so. '-) @Teradata @kimdossey @markmadsen #QueryGrid #Vantage #TDInfluencerSummit #PricePerformance #Analytics #BigData #Cloud

Labi, ka ir ziema. Šmiga = logūdens. #priceperformance youtu.be/X5cwX1ly0qY