Softwr

Software · head to head

Sentry vs Apache Spark

Sentry logo

Sentry

Software

Application monitoring platform built by developers for developers

From
Free
Rated
-
Full reviewWebsite
A

Apache Spark

Software

A multi-language engine for data engineering, data science, and machine learning

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Sentry spending caps stop event ingestion when reached, eliminating visibility during critical moments; Apache Spark licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare

Where they differ

Only the attributes on which Sentry and Apache Spark actually diverge.

Attributes where Sentry and Apache Spark differ
AttributeSentryApache Spark
Pricing modelUnknownopen-source
PlatformsWeb, iOS, Android, React Native, Desktop, 30+ frameworks and languagesWeb
Founded2011Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Sentry

  • Error tracking
  • Performance monitoring
  • Release tracking
  • Real user monitoring
  • Alerting
  • Issue assignment
  • Breadcrumbs
  • Source maps

Only in Apache Spark

Nothing recorded that Sentry does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Sentry

  • Error monitoringnot Apache Spark
  • Performance trackingnot Apache Spark
  • Debug production issuesnot Apache Spark
  • Release managementnot Apache Spark
  • User monitoringnot Apache Spark

Apache Spark

No use cases recorded yet. See the Apache Spark review.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Sentry

  • Spending caps stop event ingestion when reached, eliminating visibility during critical moments
  • Complex configuration required for filters, sampling rules, issue grouping, and alert policies
  • Difficult to configure custom alerts and alert content without creating email inbox bloat
  • Error grouping is imperfect with noise and filtering issues causing incorrect error prioritization
  • Weak for distributed tracing across microservices compared to dedicated APM tools
  • UI dashboard is less customizable than alternatives like Datadog APM for complex monitoring needs

Apache Spark

  • Licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
  • Installation on a laptop requires pip install pyspark or a Docker image per spark.apache.org; there is no hosted single-click deployment offered by the Apache project itself

Pricing, plan by plan

Sentry

Free
  • Developer (Free)Free
    • 5K errors per month
    • 1 user seat
    • 30-day data retention
  • Team$26/month
    • 50K errors per month
    • 5M transaction spans
    • 90-day data retention
  • Business$80/month
    • Higher quotas
    • Extended retention
    • Advanced filtering
  • Organization$199/month
    • SSO integration
    • Audit logs
    • Advanced security

Apache Spark

Free

No published plan breakdown. See the Apache Spark review.

Which should you pick?

Choose Sentry if

  • You need error tracking.
  • You want to start without paying.
  • You work on Web, iOS, Android, React Native, Desktop, 30+ frameworks and languages.
  • You also want performance monitoring.
Sentry review

Choose Apache Spark if

  • You want to start without paying.
Apache Spark review

Questions people ask

Is Sentry or Apache Spark better?
Neither clearly leads. Sentry starts at Free and Apache Spark at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sentry or Apache Spark?
Sentry starts at Free and Apache Spark at Free.
Does Sentry or Apache Spark run on more platforms?
Sentry runs on Web, iOS, Android, React Native, Desktop, 30+ frameworks and languages. Apache Spark runs on Web.
Can I use Sentry for free?
Both have a free tier, so you can try either at no cost before committing.
What is Sentry best used for?
Sentry is most often used for error monitoring, performance tracking, debug production issues, release management. Of those, error monitoring and performance tracking are not what Apache Spark is typically brought in for.
What can Sentry do that Apache Spark cannot?
Sentry covers Error tracking, Performance monitoring, Release tracking, Real user monitoring.

Answered from the vendors’ own pages

Sentry: Does Sentry have a free tier?

Yes. The free Developer tier includes 5,000 errors per month, one user seat, 30-day retention, and 50 session replays per month.

Source
Sentry: How much do Sentry's paid plans cost?

Team plan starts at $26/month (annual) or $29/month (monthly) with 50K errors and 5M spans included. Business plan is $80-89/month. Organization plans start at $199/month with SSO and advanced compliance features.

Source
Sentry: What programming languages does Sentry support?

Sentry supports over 30 languages and frameworks including JavaScript, Python, Go, Ruby, Java, .NET, PHP, Node.js, and mobile platforms including iOS, Android, and React Native.

Source
Sentry: Does Sentry support self-hosting?

Yes. Sentry can be self-hosted, and the open-source version is available for deployment in on-premises environments.

Source
Sentry: How does Sentry billing work if I exceed my quota?

Sentry offers spending caps that stop ingestion when reached, meaning you lose visibility exactly when you need it most. You can pre-purchase reserved capacity at 20% discount or pay per event on-demand when exceeding included allotment.

Source
Sentry: What integrations does Sentry support?

Sentry integrates with GitHub, GitLab, Jira, Slack, PagerDuty, most CI/CD pipelines, and many other developer tools.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Sentry

More on Apache Spark

Keep looking

Other head to heads