Postmark logo
vs
Sparkpost logo

Postmark vs Sparkpost

Compare Postmark and Sparkpost based on observed API performance, features, and pricing

Share:

Live performance comparison

Real-world performance data from messages sent through Knock

Apr 13, 2026Jul 12, 2026
Updated daily
ProviderMessage volumeGrowthStatus page updates (30d)Status page updates (90d)
Postmark
Postmark
25M–100M
4th of 10 17
Sparkpost
Sparkpost
<1M
10th of 10 15

From April 13th to July 12th, Knock routed 25M–100M messages through Postmark and <1M through Sparkpost. Postmark reported 7 status page updates over the last 90 days, while Sparkpost reported 5.

Response time

Response time measures how long each provider takes to accept an API request from Knock, including connection overhead and any automatic retries. Lower values mean faster message hand-off.

ProviderMedian (p50)p90p95p99
Postmark
Postmark
4ms
74ms97ms234ms
Sparkpost
Sparkpost
281ms
471ms546ms622ms

The chart above shows each provider's daily median response time (p50) from April 13th to July 12th. The top-line number is an average of these daily values: Postmark averaged 4ms compared to 281ms for Sparkpost. Postmark's highest daily p50 was 60ms; Sparkpost's was 312ms. Postmark is 277ms faster at the median, which can add up at high volumes.

The 90th percentile (p90) captures the slowest 10% of requests, revealing how each provider handles moderate stress. Averaged across all days, Postmark has a p90 of 74ms compared to 471ms for Sparkpost. The highest daily p90 was 220ms for Postmark and 574ms for Sparkpost. Postmark handles these slower requests 397ms faster, suggesting more consistent performance across the board.

The 99th percentile (p99) represents the long tail — the slowest 1% of requests. Averaged across all days, Postmark reached 234ms at p99 while Sparkpost reached 622ms. The highest daily p99 was 1429ms for Postmark and 768ms for Sparkpost, indicating the worst-case response time during spikes or provider-side congestion. Postmark shows a tighter tail, which may matter for time-sensitive notifications like one-time passwords or real-time alerts where even rare delays can impact user experience.

Error rate

Error rate tracks the ratio of 5xx responses and timeouts to total requests. Knock automatically retries failed requests, so transient provider errors rarely affect end-user delivery.

ProviderAvg. daily error rateHighest daily ratePeak error dateZero-error daysDays above 0.01%
Postmark
Postmark
0.00%
0.04%Jul 9853
Sparkpost
Sparkpost
0.00%
0.42%May 4901

Averaged across the date range, Postmark shows a 0.00% daily error rate compared to 0.00% for Sparkpost. The highest single-day error rate was 0.04% for Postmark and 0.42% for Sparkpost. Both providers show similar reliability levels, with error rates well within acceptable thresholds. Knock automatically retries failed requests to both providers, minimizing the impact of transient errors on end-user delivery.

About these metrics: Data represents messages sent through Knock during the specified period. Response time measures time from Knock to provider acceptance. Error rate includes only provider 5xx responses and timeouts.

Recent Postmark incidents

Recent status page incidents for Postmark

Started Jul 6, 2026 — Resolved Jul 7, 2026

We've now resolved the incident. Thanks for your patience.

Started Jun 11, 2026 — Resolved Jun 12, 2026

All previously backlogged events have been processed. The issue occurred starting on June 11th at approximately 3:36am to June 12th 1:01pm CT (June 11th 08:36 – June 12th 18:01 UTC). Thank you for your patience. We will continue to improve our systems.

Started Jun 4, 2026 — Resolved Jun 5, 2026

The backlog of messages have been sent and system performance has returned to its expected state. Sending delays occurred between 4:50 – 6:35pm CT (21:50 – 23:35 UTC) for both transactional and broadcast mail. Engineering will continue to monitor.

Started Jun 1, 2026 — Resolved Jun 2, 2026

The issue has been resolved. Thank for your patience.

Started May 28, 2026 — Resolved May 28, 2026

The issue has been resolved.

Recent Sparkpost incidents

Recent status page incidents for Sparkpost

Started Jun 29, 2026 — Resolved Jun 29, 2026

Jun 29, 12:46 EDT Resolved - This incident has been resolved. Jun 29, 12:05 EDT Monitoring - There was a combination of events that caused a short period of slowdown. That slowdown has already recovered and we are monitoring to ensure we do not see it again. Jun 29, 11:58 EDT Investigating - We are investigating the delay and the impact. We will post once we know more.

Started May 12, 2026 — Resolved May 12, 2026

May 12, 09:38 EDT Resolved - This incident has been resolved. May 12, 09:10 EDT Monitoring - A fix has been implemented and we are monitoring the results. May 12, 08:48 EDT Identified - We’re currently investigating an issue that prevented some customers from updating their payment details. The root cause has been identified, and a fix is being implemented.

Started May 11, 2026 — Resolved May 11, 2026

May 11, 16:02 EDT Resolved - This incident has been resolved. May 11, 15:46 EDT Monitoring - A fix has been implemented and we are monitoring the results. May 11, 14:55 EDT Identified - We are experiencing an elevated level of errors and latency on the Suppression List API for some SparkPost customers. Please retry any 5xx error. Note: This issue does not impact SparkPost customers hosted in the EU.

Started May 9, 2026 — Resolved May 9, 2026

May 9, 18:17 EDT Resolved - This incident has been resolved. May 9, 18:05 EDT Monitoring - A fix has been implemented and we are monitoring the results. May 9, 17:50 EDT Identified - The issue has been identified and a fix is being implemented. May 9, 17:39 EDT Investigating - We are looking into why some messages are seeing delayed delivery.

Started May 8, 2026 — Resolved May 8, 2026

May 8, 07:31 EDT Resolved - This incident has been resolved. May 7, 06:49 EDT Monitoring - A fix has been implemented and we are monitoring the results. May 7, 05:31 EDT Investigating - We are currently investigating this issue.

Pros and cons

Postmark
Postmark

Sparkpost
Sparkpost

Pros

  • Excellent deliverability with separate infrastructure for transactional and bulk messages
  • Publishes time-to-inbox data across major email providers for transparency
  • Great documentation with official and community-supported SDKs for all major languages
  • 45-day message and log retention on all plans

Pros

  • Delivers nearly 40% of all commercial email worldwide
  • Subaccount support for isolated sending streams under one billing account
  • On-premise mail sending solution available for very high volume workloads
  • Great analytics tools with predictive health scores for email deliverability

Cons

  • No visual drag-and-drop email editor
  • Less suited for high-volume marketing email
  • Smaller feature set compared to all-in-one platforms

Cons

  • Documentation can be hard to navigate with less beginner-friendly getting started content
  • Higher price point than basic providers
  • Now part of Bird (formerly MessageBird), which may affect product direction

Frequently asked questions

What is the difference between Postmark and Sparkpost?

Postmark is a transactional email service focused on fast, reliable delivery with transparent pricing. SparkPost is a data-driven email delivery platform with advanced analytics and predictive tools for high-volume senders. Postmark is best suited for transactional email, while Sparkpost is geared toward data-driven, high-volume.

Which is cheaper, Postmark or Sparkpost?

Free tier includes 100 emails per month. Paid plans start at $15/month for 10,000 emails with overages at $1.80/1K up to 125K, and $1.70/1K at 300K+. Free tier includes 500 emails per month with community support. Paid plans start at $20/month for 50,000 emails with premium deliverability features. The best value depends on your sending volume. Use the pricing calculator above to compare costs at your expected volume.

Which is faster, Postmark or Sparkpost?

Based on real-world data from Knock, Postmark has a median API response time (p50) of 4ms compared to 281ms for Sparkpost.

Which is more reliable, Postmark or Sparkpost?

From April 13th to July 12th, Postmark showed an error rate of 0.00% while Sparkpost showed 0.00%. Both rates are within acceptable thresholds for production email delivery, and Knock automatically retries failed requests to minimize the impact of transient errors.

Which is more popular, Postmark or Sparkpost?

On the Knock platform, Postmark handled 25M–100M messages from April 13th to July 12th compared to <1M for Sparkpost. Postmark is currently seeing declining volume, while Sparkpost is trending upward.

Can I use both Postmark and Sparkpost together?

Yes. Knock enables you to integrate multiple email providers into a single notification workflow. You can use Postmark and Sparkpost side by side, route traffic between them, or migrate from one to the other without changing your application code.

What are the main pros and cons of Postmark vs Sparkpost?

Postmark strengths include excellent deliverability with separate infrastructure for transactional and bulk messages and publishes time-to-inbox data across major email providers for transparency. Sparkpost strengths include delivers nearly 40% of all commercial email worldwide and subaccount support for isolated sending streams under one billing account. On the other hand, Postmark drawbacks include no visual drag-and-drop email editor, while Sparkpost drawbacks include documentation can be hard to navigate with less beginner-friendly getting started content.

Use either provider with Knock

Knock enables you to integrate Postmark, Sparkpost, or any combination of email providers into a single notification workflow. Manage templates, orchestrate cross-channel delivery, and switch providers without changing your code.