HDFC Bank vs PolicyBazaar Uptime — Week of 20 April 2026

This report compares HDFC Bank and PolicyBazaar across uptime, response performance, and incident frequency during the week of 20 April 2026. Data sourced from Uptrue's independent monitoring infrastr

🏦 HDFC Bank vs PolicyBazaar BANKING & FINANCE · UPTRUE.IO RELIABILITY DATA Week of 20 April 2026
🏦 Banking & Finance Weekly Comparison

This report compares HDFC Bank and PolicyBazaar across uptime, response performance, and incident frequency during the week of 20 April 2026. Data sourced from Uptrue's independent monitoring infrastructure. PolicyBazaar maintained 100% uptime while HDFC Bank experienced complete unavailability during the monitoring period.

TL;DR
  • PolicyBazaar: 100% uptime vs. HDFC Bank: 0% uptime
  • PolicyBazaar averaged 872ms response time; HDFC Bank data unavailable
  • Both providers recorded zero incidents and zero minutes of downtime in monitoring logs
  • Neither provider publishes an official status page

Uptime This Week

HDFC Bank 0.00% PolicyBazaar 100.00% HTTP checks every 5 min · 7-day period · Uptrue independent monitoring

PolicyBazaar maintained continuous availability at 100% throughout the week. HDFC Bank registered 0% uptime, indicating the service was unreachable during the entire monitoring window. This stark disparity suggests HDFC Bank experienced a sustained outage or connectivity issue preventing Uptrue's monitoring agents from establishing connections.

Response Time

PolicyBazaar 872ms Lower is better · Median TTFB · Excludes model inference time

PolicyBazaar's average response time of 872ms indicates moderate latency, acceptable for banking and financial services but not optimized for high-speed transactions. HDFC Bank response data was unavailable due to the inability to reach the service during monitoring.

Incidents & Downtime

HDFC Bank No incidents PolicyBazaar No incidents Incident = 2+ consecutive failed checks · 7-day window

Both providers showed zero recorded incidents and zero minutes of downtime in Uptrue's incident logs. This discrepancy with HDFC Bank's 0% uptime measurement suggests the outage may have been continuous rather than discrete incidents, or indicates a systematic monitoring connectivity issue rather than application-layer failures.

Historical Context
Banking and finance providers typically maintain 99.9% uptime or higher due to regulatory requirements and customer expectations. Extended unavailability in this sector is uncommon and warrants investigation into root cause, whether infrastructure, network routing, or monitoring configuration.

Which Should You Choose?

Based on this week's data, PolicyBazaar demonstrated operational availability while HDFC Bank was inaccessible. However, a single week of monitoring is insufficient for reliable provider selection. Request extended monitoring data (minimum 4 weeks) and verify whether HDFC Bank's outage was an anomaly or indicates systemic issues before making infrastructure decisions.

About This Data
All uptime, response time, and incident data is collected by Uptrue's independent monitoring infrastructure. HTTP checks run every 5 minutes. An incident is recorded only after 2+ consecutive failed checks. Uptrue is not affiliated with any monitored service. For corrections: reports@uptrue.io

Frequently Asked Questions

Which provider is more reliable based on this monitoring data?
During this specific week, PolicyBazaar demonstrated 100% uptime while HDFC Bank was unavailable. However, one week of data is a limited sample. Uptrue recommends extended monitoring periods (30+ days) to establish reliable reliability baselines for financial services providers.
How often does HDFC Bank go down?
This week's monitoring shows HDFC Bank with 0% uptime, suggesting continuous unavailability. However, Uptrue cannot determine incident frequency from a single week. Historical uptime patterns require monitoring data spanning multiple weeks or months to identify whether this was an anomaly or recurring issue.
How is this monitoring data collected?
Uptrue collects uptime and performance data using independent HTTP monitoring agents that continuously probe target services at regular intervals from geographically distributed locations. Response times, incident logs, and availability percentages are derived from these automated measurements. No data comes from provider self-reporting or official status pages.
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