In case you missed it: Our CEO Julian Giuca released a video explaining how to reduce #observability costs in 2025. (Especially relevant for engineering leaders.) Full video: https://lnkd.in/gGcrxgME
Datable.io
Software Development
San Francisco, California 395 followers
The universal translator for all your telemetry data.
About us
Datable.io is a plug-and-play telemetry management platform for logs, metrics, events and traces. Datable.io gives cloud-native organizations a global overview of their observability infrastructure, then provides a self-serve interface for transforming and routing telemetry data at scale. Because transformations are written in JavaScript, teams have total flexibility and control over the shape, quality, and quantity of the data they collect. Enforce organizational standards, ensure regulatory compliance, perform advanced sampling, and easily churn between vendors - all while optimizing storage and reducing cloud costs. We’re a venture-backed startup with over a decade of experience in the Observability space. We’re currently hiring the best and brightest to help us in our mission to tame the chaos that is cloud-native observability.
- Website
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https://www.datable.io
External link for Datable.io
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
Locations
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Primary
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San Francisco, California, US
Employees at Datable.io
Updates
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OTel is an exceptional software, but when you introduce multiple inputs, different teams, complex transformations—it falls apart. Data collection is a means, not an end. Ultimately, you're looking for the insights that your data provides. With Datable you have: ✅ Isolated branches for different team needs ✅ Robust state management ✅ Business logic is closer to the data OTel and traditional collectors are excellent at sending data. We’re more focused on the insights.
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"Datable supports a wide range of formats and protocols: Syslog, Json, Fluent, and open source vendor protocols like the New Relic wire protocol and the Datadog wire protocol." Read Julian Giuca's latest blog here: https://lnkd.in/gWaKvv6Q
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Here's how we do it: We normalize events into the OTel standard to create a unified playing field for all our data, regardless of origin. Datable supports a wide range of formats and protocols, like Syslog, Json, and Fluent. And we also support open source vendor protocols like the New Relic wire protocol and the Datadog wire protocol. By normalizing all our data, we can ensure consistency even as data comes from various sources.
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New video today from our CEO, Julian Giuca. Definitely worth 62 seconds of your time: https://lnkd.in/gPpCQbHe
Logs, traces, spans = Events
https://www.youtube.com/
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Most engineering teams are overpaying for observability not because they want to—but because they think they have to. You don't. Instead, you can send historical data to S3, keep critical metrics in your premium tools, and adjust your data flow like a volume knob. Just start using Datable. —It's free. Try it now: datable.io