Challenge
Where work slows down
Product teams need analytics that are fast, tenant-aware, fresh, and affordable. The hard part is the serving layer around the engine: isolation, freshness, retention, APIs, and product latency.
Workload
Tenant-aware security analytics without a hidden platform project.
Mach5 helps cybersecurity products deliver dashboards, timelines, aggregations, and investigation views over high-volume security data without stitching together serving infrastructure from scratch.
Mach5 workloadsearch, streaming, analytics
Search
low-latency customer-facing queries
Streaming
ingest, transform, enrich, and backfill
Analytics
tenant-aware dashboards and timelines
Derived data
fresh product-serving tables
How it works
A clear path from infrastructure pain to production workload.
Gap
What legacy stacks miss
ClickHouse, warehouses, and search engines can each solve part of analytics, but teams still own ingestion, transformations, tenant isolation, query serving, caching, backfills, and operational reliability.
Mach5
How teams move faster
Mach5 combines search, analytics, streaming, and derived data workflows in one purpose-built layer for product-facing security analytics.
Outcomes
What teams get.
Product
Richer analytics experiences
Power customer dashboards, entity views, timelines, aggregations, and investigation workflows.
Freshness
Keep derived data current
Use streaming transformations and materialized outputs to keep product analytics fresh.
Simplicity
Reduce custom glue
Avoid building a separate serving platform around every analytics engine.
Common workflows
Work your team can run.
Dashboards
Customer-facing dashboards
Serve fast dashboards across tenants and high-volume datasets.
Entities
Entity analytics
Build user, host, alert, detection, and customer views over raw and derived data.
Retention
Historical analytics
Support long-window questions without forcing all data into a hot cluster.
Related workloads
Explore the related security data workloads.
Start with one workload.
Bring Mach5 the infrastructure pain your team wishes it did not own.
Start with one search, analytics, streaming, backfill, or derived-data workload and prove value before expanding.