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DirectoryData & AnalyticsStreaming & Real-Time AnalyticsImply (Apache Druid)

Imply (Apache Druid)

About Imply (Apache Druid)

Imply provides a data platform used with SIEM systems for accessing security data. Its product Imply Lumi allows searching of security data through existing tools. Lumi connects to data lakes to query logs directly. Lumi can be queried using SPL and SQL.

Products

  • Imply Polaris: A fully managed cloud service offering of Druid.
  • Imply Enterprise: A commercial distribution of Apache Druid deployable on any cloud or on-premises.
  • Imply Enterprise Hybrid: A hybrid deployment managed in a customer's AWS VPC.

Used for

  • Searching hot and historical security data through existing tools
  • Querying unstructured logs directly in a data lake
  • Connecting to a SIEM via federated search without migrating data
  • Managing Druid clusters including creating, deploying, running, monitoring, scaling, cloning, and terminating them
  • Diagnosing performance bottlenecks through cluster monitoring

Who it is for

  • Security Information Managers use Lumi, as described by a customer from BTG Pactual.
  • Engineers use Imply so they can focus on building products rather than operational work, per a GameAnalytics customer quote.

From Imply (Apache Druid)'s own website, read 2026-10-23. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Imply (Apache Druid). It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

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Quick Facts

imply.io Pricing page
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics
PricingUsage-based

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