James Wu’s Post

"Today is a good day." New conduktor.io website and... Conduktor has raised $30 million in Series B funding! a powerful affirmation of our impact 💥. We started a few years ago with Nicolas Orban and Stéphane Maarek, with big dreams, late nights, and here we are today. As a founder, a few tips: don’t take anything or anyone for granted, empower your staff, listen to your customers, and stay tuned to the market. To the entire Conduktor team: thank you. I’m deeply proud and grateful to work alongside each of you and to learn from you every day. We’ve been challenged, pushed, made tough decisions, built and rebuilt products—all driven by the inspiration to create something game-changing for an industry in real need. With this new funding, we’re ready to bring even more impactful solutions to the table. - I believe true success with data streaming isn’t just about tech—it’s about supporting people, giving clear direction, and enabling them to build with purpose, not just to build for the sake of building. ⚒️ - An organization isn’t just tools and code; it’s individuals with real goals, ambitions, and challenges. Data streaming is booming, but inefficiencies are slowing down the whole machine. That’s where Conduktor steps in. This post is already too long, go check our website: conduktor.io. And yes, we’re also #hiring across roles. If you’re ready for a change, love data tech, want to make a new impact, we’d love to meet you. Thank you to our investors, our customers, our partners, and the entire Conduktor team. Here’s to what’s next!

So excited to have Ron Miller at TechCrunch cover @Artie (YC S23)’s funding news! We raised a $3.3M Seed round led by Charley and Mahdi from Exponent Founders Capital with participation from Y Combinator, General Catalyst, Sancus Ventures, and Banana Capital. We’re very grateful to our many angel investors including Benn Stancil, Lenny Rachitsky, Terrence Rohan, and Arash Ferdowsi. Starting Artie with Jacqueline Cheong has been a life changing experience. Prior to starting Artie, I was convinced that CDC-based replication paired with streaming architecture is a no brainer. However, the complexity and overhead that it came with made it extremely difficult for companies to adopt. That is our mission with Artie - to provide the most efficient form of database replication[1] while encapsulating complexity so that companies can have an easier time to onboard and manage. [1]  in terms of reliability, eventually-consistency, timeliness, and non-intrusive. If that sounds like something you’re interested in, reach out and contact us for a trial! https://lnkd.in/gg_GKBqX

We’re honored to have Ron Miller at TechCrunch cover our funding news! We are thrilled to announce that we have raised a $3.3M Seed round led by Charley Ma and Mahdi R. from Exponent Founders Capital with participation from Y Combinator, General Catalyst, Sancus Ventures, and Banana Capital. We’re also so grateful to our many angel investors including Benn Stancil, Lenny Rachitsky, Terrence Rohan, and Arash Ferdowsi. In early 2023, Robin Tang and I launched Artie with a vision to revolutionize how companies transfer data. Our mission is to make database replication real-time, reliable, and cost effective. Reliable streaming architecture is complicated to set up and manage day to day, which means most companies cannot leverage the benefits of change data capture (CDC) and streaming. We encapsulate all the complexity so that a one person data team can set up Artie in minutes and help the company leverage real-time data for analytics and operational use cases. If your company has been thinking about standing up CDC/streaming architecture or you’re interested in learning more about how CDC-based replication could benefit your organization, please reach out. I’d love to chat. https://lnkd.in/gmRkXpRF

Incredibly excited to announce Exponent Founders Capital's investment in Artie (YC S23)! From the get go, we were blown away with Jacqueline + Robin's ability to simplify the complexity that is typically associated with setting up a real time data streaming architecture. The team brings deeply learned experiences analyzing, building, and scaling real time data replication pipelines. Robin has lead data infrastructure at companies such at Opendoor + Zendesk and Jacqueline brings the business + product biz expertise from covering the space at Balyasny Asset Management L.P. Customers like Substack, Routable, OpenStore, and many more were able to get real time data pipelines up and running in minutes, not weeks / months - and their data teams continue to love that the platform scales with zero day-to-day maintenance. If you've been wanting to leverage real time data for analytics + operational use cases, Artie (YC S23) can get you up and running asap with something better, faster, cheaper 💪.

SERIES A: "We are now entering a new chapter in our company's evolution," Castillo said.  "This capital injection will fire us forward on our rapid growth trajectory, enabling us to cater to growing demand, bolster R&D, and scale our go-to-market capabilities globally. Most importantly, these new funds will accelerate our ability to deliver even more value to more customers, helping them capitalise on their data in new, sophisticated ways that were never previously possible." Read more: https://lnkd.in/d3v76u8W #techstartup #saas #dataorchestrator #seriesafunding

Specialized networks are eating traditional VC deal flow 🌶️ A decade ago YC owned the network-driven investing model. Now operator-investors are creating specialized communities that generate unique deal flow. Why does this matter? We (us operators) have built companies from 0→1. We know the technical challenges. We understand what it takes to turn engineering brilliance into products that drive real dollars. At Zero Prime Ventures we leverage our Data Council community—built over 10 years connecting the world's leading data infra and AI engineers. This gives us unparalleled access to technical founders building the next wave of infrastructure companies. The next Databricks, Snowflake and Datadog are being founded right now, and we're actively investing in companies with similar potential. Engineers: come build the next big thing with us.

Today, I am happy to announce our $35M series B funding round, led by Craft Ventures . The Craft team is well-renowned for its work with amazing SaaS companies. Michael Robinson is bringing the SaaS DNA to our board as we scale our customer base. 🏇 We remain laser-focused on building Onehouse as the most open and interoperable data lakehouse platform, with lightning-fast incremental data pipelines and unmatched cost efficiency, working seamlessly across clouds, warehouses, compute engines and data table formats. ✨ Customers have been clamoring for an open data architecture that decouples data into open formats from compute engines for over five years now. With recent support for open table formats across all major players and the mainstream focus on interoperability, the market feels right for this big shift. 🙌 In such a world, Onehouse will continue to be the agent of change, advocating for using the right engines for the right workloads on your data. On the personal front, building an independent company with an ambitious vision in a large market like data is not for the faint of heart. I sincerely thank everyone on the team, my family and my friends; this could not have been possible without their support. Until next time, back to work for our customers and the open-source data community. Checkout the full blog here https://lnkd.in/gvqVyUdH #dataengineering #bigdata #data #datawarehouse #datalake #datalakehouse #datamanagement #streamprocessing #datascience #machinelearning #opensource #startups #cloud

Congrats Vinoth Chandar. It's great to see real open innovation being rewarded. AI early funding rounds capture the headlines, but Lakehouses are quietly revolutionizing the Big Data that fuels them. The term “Big Data” was popularized in the Hadoop era, primarily supporting unstructured content. Since then, object storage has replaced file systems for two key reasons: Cost-efficiency from the separation of compute and storage. Superior support for both unstructured and structured data. EDW platforms with isolated storage, like Redshift, merely shift costs from on-premises to the cloud [pun intended]. In contrast, Lakehouses, built on open table formats, lower costs and disrupt vendor lock-in. This trend is evident with Databricks' acquisition of Tabular for an estimated $2-$3 billion and Onehouse's impressive $35 million Series B raise. More announcements in this space are sure to follow. Astute investors recognize that the most impressive engine is inert without a fuel source. Similarly, data infrastructure is crucial for AI. From the boardroom to operations and the sales floor, data is as indispensable as the powerful generative AI algorithms and models that are transforming industries. Forward-thinking VCs, such as Craft Ventures, are not only investing in high-profile areas like AI but also recognize that robust data infrastructure is essential for harnessing the full potential of AI and analytics.

Data Lakehouse Architecture: Transforming Data Analytics in 2024 🚀 The Data Lakehouse is revolutionizing the way organizations manage, analyze, and derive insights from data. By unifying the capabilities of data lakes and data warehouses, the lakehouse architecture allows for seamless handling of structured and unstructured data. This ensures high-performance analytics and cost-effective storage—all on a single platform. 🔑 Key Benefits: Scalability: Handle vast amounts of diverse data with ease. Flexibility: Integrate machine learning and real-time analytics natively. Governance: Role-based access ensures security and compliance across the board. 🌟 Who’s Using Lakehouses? Netflix: For personalized recommendations and real-time user engagement. Databricks: Powers innovation in data intelligence and generative AI solutions. Google: Enhances analytics with tools like BigQuery and Vertex AI. Amazon: Utilizes Redshift Spectrum for querying data at scale. IBM: Empowers hybrid cloud analytics through Watsonx. At Silicon Tech Solutions, we use cutting-edge technologies like the Data Lakehouse to build scalable, insightful applications tailored for businesses. Ready to harness the power of unified data architecture? Let’s innovate together. 💡 Learn more about how we can help: https://lnkd.in/gSUnXEXP #DataLakehouse #BigData #CloudComputing #MachineLearning #ArtificialIntelligence #DataManagement #RealTimeAnalytics #DataArchitecture #Innovation #SoftwareEngineering #TechSolutions #SiliconTechSolutions

𝑨 𝒏𝒊𝒄𝒆 𝒘𝒂𝒚 𝒕𝒐 𝒔𝒖𝒑𝒑𝒐𝒓𝒕 𝒚𝒐𝒖𝒓 𝒆𝒄𝒐𝒔𝒚𝒔𝒕𝒆𝒎 𝒊𝒔 𝒕𝒐 𝒊𝒏𝒗𝒆𝒔𝒕 𝒊𝒏 𝒕𝒉𝒆 𝒍𝒆𝒂𝒅𝒆𝒓𝒔𝒉𝒊𝒑 𝒐𝒇 𝒚𝒐𝒖𝒓 𝒄𝒍𝒊𝒆𝒏𝒕 𝒄𝒐𝒎𝒑𝒂𝒏𝒊𝒆𝒔. Databricks is precisely doing the same thing through its strategic investment arm - Databricks Ventures. It has now launched the new Databricks AI Fund to further this initiative. More details: https://lnkd.in/gniVpUzP #Databricks #DatabricksVentures #DatabricksAIFund #DatabricksDataIntelligencePlatform #Ecosystem