🎃 Don’t let data latency haunt your conversions 👻 If it takes more than 5 seconds to see a customer event, the moment is dead (and unlikely to rise from the grave). This season, banish spooky batch jobs and cobwebbed pipelines with a real-time stack: 1. Stream events the instant they happen, no dark magic required 2. Enforce tracking plans so your schemas don’t turn into Franken-events 3. Summon low-latency actions via APIs and webhooks Results: fewer ghosted carts, timely offers, delighted customers. The best part? Anyone can cast this spell with RudderStack’s secure, compliant customer data infrastructure. 🧛 Sink your teeth into the full story → https://bit.ly/4qzno87
RudderStack
Software Development
San Francisco, California 58,548 followers
Collect, transform, and deliver customer data everywhere it's needed while maintaining ownership and control.
About us
RudderStack is the only enterprise-grade data infrastructure for collecting, transforming, and delivering customer event data wherever it’s needed in real time. Our data-cloud-native architecture enables companies to move data with control and safety while maintaining full ownership. Robust integrations eliminate low-level work so data teams can reliably connect customer data to business tools, data clouds, and existing streaming pipelines while quickly adapting to changing business needs. Integrated governance tools provide unparalleled control to enforce data quality and compliance in pipeline, so every downstream team can move faster with confidence in their data. RudderStack is the customer data foundation for smarter decisions, more powerful AI/ML, optimized marketing spend, and better customer experiences at industry-leading companies like Crate&Barrel, Footlocker, Cars.com, and Allbirds.
- Website
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https://rudderstack.com
External link for RudderStack
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2019
Products
Locations
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Primary
Get directions
548 Market St
PMB 48141
San Francisco, California 94104-5401, US
Employees at RudderStack
Updates
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Automated data testing reduces manual effort by 80% while improving accuracy and enabling continuous validation throughout your ETL pipeline. Our guide breaks down the top tools and where they fit. Deequ and Great Expectations for Spark and Python. Dataform for SQL workflows. Bigeye and Monte Carlo for monitoring at enterprise scale. We cover unit, integration, and end-to-end validation and how to wire testing into CI/CD with the right culture and roles. Feed these tools clean, schema compliant data with RudderStack so results hold up. Read more → https://bit.ly/4oHcnjd
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PostgreSQL can power serious streaming, if you design for it. We’ve run 100k events per second on Postgres by partitioning datasets, adding targeted composite indexes, using IOS where possible, emulating loose scans with recursive CTEs, compacting status logs to tame retry storms, and tuning WAL, autovacuum, and memory. We also lean on COPY for bulk writes, cache what doesn’t change, and plan for 3x write amplification. This post breaks down the practices that made Postgres a resilient queue for us: warts, wins, and what we’d do again. Read more → https://bit.ly/4oEJSmj
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Most enterprises aren't choosing between cloud or on-prem. They're figuring out how to make BOTH work securely, reliably, and at scale. Hybrid cloud is now the norm, but only if you can unify data across environments without creating silos. RudderStack #EventStream connects the dots between cloud-native apps and legacy systems. Real-time pipelines, privacy-first design, and full control across your infrastructure. See how data teams are using RudderStack to power modern hybrid strategies → https://bit.ly/42UNnwE
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Event streaming is no longer niche infrastructure. It’s the foundation for real-time personalization, faster fraud detection, and responsive systems that scale. With RudderStack Event Stream, companies like #Joybird and #Kajabi track every user touchpoint and route billions of events to their data warehouse and tools, in real time, without reliability tradeoffs. No black boxes. No lag. Just complete control of your customer data. Read more → https://bit.ly/3C018jg
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Interesting insights about OpenAI's new Atlas browser 💡
OpenAI’s new Atlas browser (and similar such ones) changes how humans interact with websites. I asked Atlas to find me a United flight with multiple constraints (aisle seat, cheap, upgrade chance, stopover OK). It handled the trade-offs almost like a human. But here’s the twist: from the airline’s perspective, Atlas — not I — was doing the browsing. The browsing behavior is very similar to a bot. That breaks every assumption behind first-party data, analytics, and personalization. If AI agents are the ones “using” the web, how do we do analytics, infer intent, measure engagement, and so on? What is the future of analytics & marketing stack? Some initial thoughts in the blog in comment. How are folks responding to this?
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AI browsers like ChatGPT Atlas are changing how users interact with the web and how brands think about product analytics. With tools like Atlas, the “user” navigating your site might actually be an AI agent acting on their behalf. That breaks traditional assumptions about sessions, attribution, and personalization. From the outside, it looks like bot traffic. But there’s real human intent behind it. As browsing behavior shifts from visible to invisible, companies will need to rethink how they capture, analyze, and act on first-party data. We broke down why AI agents will force a new wave of innovation in data infrastructure, and how brands can prepare: 👉 https://bit.ly/47hf7wI
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RudderStack reposted this
If your dashboards disagree, it’s not an analytics problem. It’s fragmentation. See how RudderStack’s customer data infrastructure underpins a unified data platform to cut maintenance toil, strengthen privacy, and speed time-to-insight. Dive in → https://bit.ly/4o78F2D #RudderStack #DataStrategy #Analytics #Compliance #CloudData
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If your dashboards disagree, it’s not an analytics problem. It’s fragmentation. See how RudderStack’s customer data infrastructure underpins a unified data platform to cut maintenance toil, strengthen privacy, and speed time-to-insight. Dive in → https://bit.ly/4o78F2D #RudderStack #DataStrategy #Analytics #Compliance #CloudData