Timescale

PostgreSQL and pgvector: Now Faster than Pinecone, 75% cheaper, 100% open-source. Introducing pgvectorscale, an open-source PostgreSQL extension that builds on pgvector, enabling greater performance and scalability. Here’s how pgvectorscale helps pgvector outperform specialized vector database like Pinecone: 1️⃣ StreamingDiskANN:  A new vector search index that overcomes limitations of in-memory indexes like HNSW the index on disk, making it more cost-efficient to run and scale as vector workloads grow. Inspired by the DiskANN paper from Microsoft. 2️⃣ Statistical Binary Quantization (SBQ): Developed by researchers at Timescale, this technique improves on standard binary quantization techniques by improving accuracy when using quantization to reduce the space needed for vector storage 3️⃣ Written in Rust, giving the PostgreSQL community to contribute to vector support. 📈The result? On our benchmark of 50 million Cohere embeddings (768 dimensions each), PostgreSQL with pgvector and pgvectorscale achieves 28x lower p95 latency and 16x higher query throughput compared to Pinecone for approximate nearest neighbor queries at 99 % recall, all at 75 % less cost when self-hosted on AWS EC2. We also tested it against Pinecone’s p2 high performance index, see the blog post at the end of this post for full results (spoiler: It’s just as impressive). Pgvectorscale is open-source under the PostgreSQL license and free for you to use on any PostgreSQL database for your AI projects. To get started, see the pgvectorscale github repo: https://lnkd.in/ghXj2e-U Or try it on Timescale Cloud on any new database service. Eager to learn more about pgvectorscale and how it works? Head over to our blog post with all the details: https://lnkd.in/gcMcxrVb

🚀 𝙏𝙝𝙖𝙩’𝙨 𝙖 𝙬𝙧𝙖𝙥 𝙤𝙣 𝙖𝙣𝙤𝙩𝙝𝙚𝙧 𝙜𝙧𝙚𝙖𝙩 𝙡𝙖𝙪𝙣𝙘𝙝 𝙬𝙚𝙚𝙠 𝙖𝙩 𝙏𝙞𝙢𝙚𝙨𝙘𝙖𝙡𝙚! 🚀 We’ve dropped a ton of game-changing updates that make PostgreSQL more powerful and easier to use than ever before. 𝗗𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸'𝘀 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 📊 𝗣𝗼𝗽𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: A modern, collaborative SQL workspace to streamline your workflows— now on our Console. 👉 https://lnkd.in/g3PTHjyC 🔧 𝗨𝗜 𝗧𝗼𝗼𝗹𝘀: Wizards to help you go from PoC to production faster than ever.  👉 https://lnkd.in/gi-k8tBQ ☁️ 𝗖𝘂𝘀𝘁𝗼𝗺 𝗞𝟴𝘀 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿: Our behind-the-scenes Kubernetes operator simplifies PostgreSQL scaling on our cloud platform. 👉 https://lnkd.in/grXXWRY2 🔄 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗥𝗲𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Bulletproof your database with multiple PostgreSQL replicas. 👉 https://lnkd.in/g3EH3apA ⚡ 𝗟𝗶𝘃𝗲 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀: Seamlessly move your PostgreSQL databases with minimal downtime. 👉 https://lnkd.in/gbjxzJN7 Ready to supercharge your PostgreSQL? Start today with Timescale!  https://lnkd.in/gGxV5DYh

Join us as we recap all the new tools and features we launched this week to make PostgreSQL even easier to use and more reliable. 🐘 💪 #postgresql #timescaledb #postgresforeverything

Not to be dramatic, but we just made database migrations way less painful with some serious upgrades to our live migration tool. 👇 No more sweating bullets over moving your data—this thing is smoother, faster, and more reliable, all while keeping downtime to a minimum. 🎉 𝙺̲𝚎̲𝚢̲ ̲𝙸̲𝚖̲𝚙̲𝚛̲𝚘̲𝚟̲𝚎̲𝚖̲𝚎̲𝚗̲𝚝̲𝚜̲:̲ 🏋️ 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝗵𝘀 𝗚𝗮𝗹𝗼𝗿𝗲: Whether you’re on TimescaleDB or PostgreSQL, you can glide into Timescale Cloud like it’s no big deal, with hypertables doing the heavy lifting for faster queries. 💪 𝗕𝘂𝗶𝗹𝘁 𝗟𝗶𝗸𝗲 𝗮 𝗧𝗮𝗻𝗸: Auto-reconnects, graceful terminations, and automatic retries keep things running, even when life (or your network) decides to throw a tantrum. 🏃 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗕𝗼𝗼𝘀𝘁𝘀: With batch processing and parallel ops, some migrations just got 100x faster. Blink and you might miss it. 🫶 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗟𝗼𝘃𝗲: Timescale’s improvements to pgcopydb benefit the whole PostgreSQL fam—no gatekeeping here. 🫂 𝗨𝘀𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆, 𝗙𝗶𝗻𝗮𝗹𝗹𝘆: Docs that make sense, step-by-step guides, and error messages that are actually helpful. Welcome to the future, where migrations don’t come with headaches. 𝙱̲𝚘̲𝚝̲𝚝̲𝚘̲𝚖̲ ̲𝚕̲𝚒̲𝚗̲𝚎̲:̲ Timescale’s live migration tool just casually took the complexity out of migrations, keeping your downtime short, and ensuring your data is safe and sound. It’s been battle-tested on terabytes of data, and it’s getting better every day as it gears up for V1.0. Ready to make the switch? We’ve got you covered. Kachow. 🚗💨 🔗👇

𝗕𝘂𝗹𝗹𝗲𝘁𝗽𝗿𝗼𝗼𝗳𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗪𝗶𝘁𝗵 (𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲) 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 𝗥𝗲𝗽𝗹𝗶𝗰𝗮𝘀 🔐 The importance of PostgreSQL replication for 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 in Timescale Cloud. We’ve just introduced new 𝗛𝗔 𝗿𝗲𝗽𝗹𝗶𝗰𝗮 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻𝘀, allowing users to choose between two asynchronous replicas or a combination of asynchronous and synchronous replicas. These options provide flexibility for balancing 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆. 𝗔𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗿𝗲𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 has minimal performance impact (<3%) but may experience small data lags during failover. 𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗿𝗲𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻, while slightly slower (10-12% performance hit), ensures 𝗴𝗿𝗲𝗮𝘁𝗲𝗿 𝘄𝗿𝗶𝘁𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆. Timescale Cloud offers 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻 with weekly full backups, daily incremental backups, and continuous monitoring. The new replica options give users the ability to tailor replication for mission-critical applications, ensuring both reliability and efficiency. 🔗👇

Dream Team. PostgreSQL for Everything.

🚨 Stop the presses! We’re literally pausing Launch Week just to tell you this: the State of PostgreSQL Survey is extended! 🎉 Haven’t taken it yet? Lucky for you, the deadline is now October 31, 2024. So quit stalling and drop your PostgreSQL hot takes. So stop ghosting us and give us your take. We know you’ve got opinions. 👀  https://lnkd.in/gER82F4y Still not sure why this matters? We’re just trying to make PostgreSQL more ✨iconic.✨

𝐌𝐚𝐤𝐢𝐧𝐠 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋 𝐄𝐚𝐬𝐢𝐞𝐫 𝐚𝐧𝐝 𝐌𝐨𝐫𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 Another month, another launch week. This time the team is finally sharing all of the hard work and innovation they have built to give customers the most powerful PostgreSQL platform. When people think of a hosted database, they mainly see the user facing sides. But what is easy to underestimate is how much work needs to happen behind the scenes to provide a seamless and reliable database cloud experience. That's what this week has been highlighting: 1. Building the Modern Postgres GUI With PopSQL 2. Moving Faster From PoC to Prod With Timescale UI Tooling 3. Simplify Cluster Management With PatroniSets 4. Scale Confidently With Flexible Replication Options 5. Seamless Live Migration to Timescale More in the links in the comments. Timescale: We do the hard work so you don't have to.

⚠️𝗧𝗶𝗿𝗲𝗱 𝗼𝗳 𝗹𝗶𝘃𝗶𝗻𝗴 𝗱𝗮𝗻𝗴𝗲𝗿𝗼𝘂𝘀𝗹𝘆 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲? ⚠️ Timescale Cloud has your back with multiple 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 𝗿𝗲𝗽𝗹𝗶𝗰𝗮 𝘀𝗲𝘁𝘂𝗽𝘀 to bulletproof your data. With just a few clicks, you can now configure 𝗵𝗶𝗴𝗵-𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 (𝗛𝗔) 𝗿𝗲𝗽𝗹𝗶𝗰𝗮𝘀 that fit your exact needs, giving you peace of mind when disaster inevitably strikes. You’ve got options: 𝗮𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗿𝗲𝗽𝗹𝗶𝗰𝗮𝘀—fast, low-maintenance, and barely a performance hit (<3%)—or 𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗿𝗲𝗽𝗹𝗶𝗰𝗮𝘀, which make sure every write is perfectly mirrored but come with a performance trade-off (about 10-12%). 🛍️ 💪 And it gets better. Timescale Cloud adds 𝘄𝗲𝗲𝗸𝗹𝘆 𝗳𝘂𝗹𝗹 𝗯𝗮𝗰𝗸𝘂𝗽𝘀, 𝗱𝗮𝗶𝗹𝘆 𝗶𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁𝗮𝗹 𝗯𝗮𝗰𝗸𝘂𝗽𝘀, and constant monitoring to make sure your data stays safe, no matter what cosmic rays or spilled coffee come your way. ☕ In short, Timescale’s replica options let you 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗱𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝘆 with the perfect balance of speed and data protection. Whether you're all about performance or crave rock-solid consistency, your PostgreSQL setup is ready to handle whatever comes its way. 🔗 Check out the link in the comments to learn more. #PostgreSQL #DatabaseManagement #HighAvailability #CloudComputing #DataSecurity #DisasterRecovery #CloudInfrastructure #DataBackup #DataProtection #TechSolutions #DevOps #CloudOps #DataOps #PeaceOfMind #DataSafety #NoMoreDowntime #BulletproofYourData #PerformanceMatters #ScaleConfidently

Join us as we share how we transitioned from using StatefulSets to our custom-built Kubernetes storage operator, 🔥 PatroniSets 🔥. The built in StatefulSets were instrumental in managing database storage and updates, but as our platform grew, we needed something more flexible and scalable. ⬇️ PatroniSets was designed to handle tasks like volume resizing and pod failovers seamlessly, minimizing user disruption. The migration had no impact on customers and has resulted in a more efficient, cost-effective platform. StatefulSets served their purpose, but as our needs evolved, it was time for a more tailored solution. 🔗 Dive deep in the comments.