Batch analytics answers yesterday’s question.
Every answer has a half-life — its value evaporates the moment it goes stale. Vivanti builds real-time analytics that collapse the gap between event and action to near zero, on ClickHouse, independently benchmarked as the fastest analytical database in its class. Catch the value — and the attacker — before the moment’s gone.
- 241 days
- average time to identify and contain a breach (IBM, 2025)
- 80 days
- cut from the breach lifecycle with AI and automation
- $1.9M
- average saving from faster detection
When the answer arrives too late
Perishable value
Forrester’s term for it is perishable insight: value that “expires and evaporates once the moment is gone.”
Yesterday’s answer
Overnight jobs and week-long data requests explain what happened. They can’t change it.
241 days of dwell time
IBM’s 2025 average time to identify and contain a breach — and detection speed is the single biggest cost lever.
Speed isn’t a feature. It’s how much value you catch before it’s gone.
Real-time analytics collapses the time from event to insight to action to near zero — the fraud stopped mid-transaction, the fan served during the game, the exception handled while it still matters, the intrusion caught in hours rather than months.
In security especially, dwell time is just latency with an attacker inside it.Book a call to find the decision that’s too slow
Faster action, faster detection
Faster action
Capture perishable business value before it decays: fraud, exceptions, in-session decisions, live personalization.
Faster detection
Compress the window in which threats and failures go unseen. IBM: fast detection cut the breach lifecycle by 80 days and about $1.9M.
Why this runs on ClickHouse
Real-time only works if the engine is genuinely fast — and here the proof is reputable rather than promotional. ClickHouse began life as a real-time web-analytics engine, so streaming ingest and sub-second freshness are its design center, not a bolt-on.
A fast engine isn’t a capability. Vivanti designs and implements the whole thing: streaming pipelines, modeling and governance, then activation through live dashboards, alerting, automated action and real-time threat detection.
Benchmarked fastest in class
Fastest on the majority of queries on the public ClickBench benchmark
Proven in production
Uber, Cloudflare, eBay, ByteDance, Ahrefs, Vimeo
Built for real time
Streaming ingest, sub-second-fresh data, petabyte scale
Fast, provably
Fastest
on the majority of analytical queries
ClickBench · public benchmark
100M+ rows/sec
hundreds of millions of rows per second
Cloudflare · ClickHouse
1,000+ replicas
hundreds of millions of rows per second across them
Ahrefs · ClickHouse
80 days
cut from the breach lifecycle, about $1.9M saved
IBM · 2025
Real-Time Analytics: Capturing Value and Detecting Threats Before the Moment Passes
A Vivanti whitepaper, in collaboration with ClickHouse. Written for the data, analytics and security executives whose decisions or defenses are constrained by latency.
- 01The decision-latency gap, and why “eventually” is so often too late
- 02Why latency became the binding constraint: data velocity and operational analytics
- 03What real-time actually requires: freshness, query speed and concurrency at once
- 04A seven-step blueprint, from time-sensitive decisions to governed industrialization
- 05How it applies across BFSI, media, supply chain, health and government
- 06A five-stage roadmap, with security telemetry on the same substrate
Built for regulated, high-stakes industries
Banking, financial services & insurance
Media, entertainment & sports
Supply chain & logistics
Health & life sciences
Government & education
Bring one decision that’s arriving too late.
Give us 30 minutes. We’ll find where latency is costing you — in revenue, in risk or in breach exposure — and show you what “now” looks like. No slideware, no obligation.
Book a 30-minute sessionPrefer to write first? jules.trono@vivanti.com