Power Fast, Cost-Efficient Observability

Ingest logs, metrics, and traces into a single, real-time store with sub-second search and storage built for scale. Whether you’re you’re augmenting an existing observability stack or building your own, Imply delivers the cost efficiency and speed you need to do more with less.
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Challenge

Observability has a data problem

Modern observability platforms process a flood of high-cardinality, high-volume data with unsustainably high pricing at scale. There’s a gap at the underlying data layer — resulting in slow queries, exploding costs, and operational headaches.

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Rising Costs

Costs balloon when storing full-fidelity logs, metrics, and traces 一 forcing tough decisions about which data to keep or drop.
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Data Gaps

When data is filtered out to manage observability costs, visibility drops and incident troubleshooting risks rise.
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Delayed Response

Traditional tools struggle with fast, ad hoc data exploration as cardinality, concurrency and complexity rise 一 delaying MTTR.
Solution

Observability needs a data store built for performance

Powered by Apache Druid®, Imply delivers real-time data layer that supports sub-second queries, and a cost-efficient architecture that is ecosystem agnostic to give you more control of your observability data with any platform, at any scale.
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Up to 80% Cost Savings

Reduce your storage footprint with Imply Polaris’ database-as-a-service (DBaaS) or Imply Lumi as a plug-and-play data layer.
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Full-Fidelity Data

Maximize visibility of hot, cold, and frozen data with flexible, efficient ingestion of logs, metrics, and traces.*
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Sub-Second Queries

Wherever you’re analyzing your data, we guarantee faster searches, queries, and aggregations at any level of complexity.

*Data sampling is optional given the low cost, meeting both compliance and deep-dive analysis needs.

Stories

Leading brands trust Druid and Imply for observability

  • 47% savings in storage footprint
  • 5B+ events ingested per day
  • 30% query time improvement
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“Druid gives us the flexibility to define pre-aggregations, the ability to easily manage ingestion tasks, the ability to query data effectively, and the means to create a highly scalable architecture.”

Dun Lu | Lead Software Engineer | Salesforce

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  • 2M+ events per second
  • 2.5T+ rows queried in <1s
  • 2x reduction in row count
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“Druid can make optimizations in how it stores, distributes, and queries data such that we’re able to scale the datasource to trillions of rows and still achieve query response times in the 10s of milliseconds.”

Ben Sykes | Senior Software Engineer | Netflix

  • 30 hours per month time savings
  • Hundreds of thousands to millions of events per second
  • 2-3x volume expansion per quarter
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“Working with Imply support has saved us 20-30 hours a month of scaling our workload, which is pretty significant. We’re constantly keeping our customers’ customers’ invoices up to date with the data that’s in Druid.”

Kshitij Grover | CTO and Co-Founder | Orb

  • 1-2 min time-to-insight (vs. 1-2 days)
  • 100% data fidelity (vs. 10% sampling)
  • Lowered TCO with simplified ops

“The return on our investment has been great. Polaris gives us peace of mind and opened the door to many more real-time analytics use cases.”

Sreenu Pillutla | Senior Director of Engineering | McAfee

Products

Choose plug-and-play vs. build-your-own solutions

Imply Lumi

Observability Data Layer
Imply Lumi is a data layer that plugs directly into your observability platform to efficiently store and serve full-fidelity data, so you can search more data faster ー without changing your workflows.
  • Do more with your existing workflows
  • Search 2x+ faster for faster MTTR
  • Easy API setup (no expertise required)
  • 70%+ cost savings (TCO)
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Imply Polaris
Database-as-a-Service
Imply Polaris is a cloud-native, real-time database-as-a-service that scales effortlessly, making it easy for you to build custom observability applications or augment your existing platform.
  • Fully managed at any scale
  • Built-in, sub-second visualization (optional)
  • Dev-friendly by design (SQL, JSON, APIs)
  • Up to 50% cost savings (TCO)
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Technology

How does Imply work?

Imply combines columnar storage, a decoupled compute-storage architecture, and intelligent resource scaling to deliver blazing-fast queries and high-speed compression — all at a fraction of the cost of traditional systems.

Imply achieves this efficiency by combining the following techniques:

  • Schema-on-persist: Imply automatically detects the structure of the data as a way to optimize compression, leveraging smarter indexing to store data with a smaller footprint while delivering faster query performance.
  • Separation of storage and compute: Imply decouples compute from storage, enabling independently scalable query and ingestion layers that access compressed data directly from cloud object storage when needed.
  • Columnar storage and indexing: Data is stored in a compressed, columnar format with advanced indexing and encoding, allowing fast scans and high compression ratios, especially for high-cardinality dimensions.
  • Elastic auto-scaling: Imply dynamically adjusts resources based on ingestion and query workloads, ensuring high throughput and optimal compression performance without manual tuning or overprovisioning.
  • Segment optimization and roll-up: Data can be pre-aggregated and compacted into optimized segments during ingestion, further enhancing compression and reducing the volume of data scanned at query time.
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1. Ingest

Imply ingests logs, metrics, and traces from streaming and batch data sources. Any data that is forwarded directly to your observability platform (without Imply) will not be transformed and optimized in the next step.
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2. Store & Compute

Imply transforms the data with optimized data compression and smarter indexing to facilitate faster search performance. Imply data is served into your observability platform with a smaller data footprint.
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3. Search & Analyze

Search more data faster in your preferred UI. This can be done directly in Imply (via Pivot), your observability platform, or another visualization platform.
From the original creators of Apache Druid®

Save time, cut costs, and unlock real-time observability with Imply

Power your observability use cases for any scale, any number of users, and any data—streaming or batch; metrics, traces, and logs.

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Ready to decouple your observability stack?
No workflow changes. No migrations. More data, less spend.

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