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Apache Spark vs Microsoft Edge

Apache Spark logo

Apache Spark

Technology

A distributed engine for batch, SQL, streaming and machine learning workloads over data that does not fit on one machine.

From
Free
Rated
-
Full reviewWebsite
Microsoft Edge logo

Microsoft Edge

Technology

Microsoft's Chromium-based browser, distinguished by IE mode for legacy applications and by its integration with Microsoft 365 management.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Spark running it well is JVM operations work: executor sizing, shuffle partition counts, off-heap memory and serialisation all have to be tuned, and the failures you actually get are out-of-memory errors and skewed shuffles rather than wrong answers, so you need somebody who can read the Spark UI or you will scale the cluster instead of fixing the query.; Microsoft Edge outside the European Economic Area, Edge cannot be uninstalled from Windows, and Windows components such as Widgets, help links and taskbar search results open in it whatever the default browser is set to, so an organisation standardising on Chrome still has to manage and patch Edge.
  • They diverge on capability: Apache Spark covers Unified engine, Microsoft Edge covers Internet Explorer mode.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Spark and Microsoft Edge actually diverge.

Attributes where Apache Spark and Microsoft Edge differ
AttributeApache SparkMicrosoft Edge
Pricing modelopen-sourcefree

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

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 Apache Spark

  • Unified engine
  • Catalyst optimiser
  • DataFrame and SQL APIs
  • Structured Streaming
  • Spark Connect
  • Kubernetes and YARN support
  • Table format integration
  • MLlib

Only in Microsoft Edge

  • Internet Explorer mode
  • Enterprise Mode Site List
  • Entra ID integration
  • Purview DLP for browsing
  • Intune and Group Policy
  • Vertical tabs and Workspaces
  • Sleeping tabs
  • Chrome extension compatibility

What people use each for

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

Apache Spark

  • Nightly ETL over terabytes in object storage, where a single machine would take longer than the batch window allowsnot Microsoft Edge
  • Building and maintaining a lakehouse on Iceberg or Delta Lake, where Spark handles both the writes and the compactionnot Microsoft Edge
  • Feature engineering and model training across datasets too large to fit in pandas on one nodenot Microsoft Edge
  • Migrating legacy MapReduce or Hive workloads onto an engine that is still actively developed and widely supported by cloud vendorsnot Microsoft Edge

Microsoft Edge

  • A Windows estate with intranet applications that still require Internet Explorer, where IE mode buys years before a rewritenot Apache Spark
  • Microsoft 365 organisations that want browser sessions covered by Purview DLP and conditional access without a separate secure browser productnot Apache Spark
  • Fleets managed through Intune that need one browser configured by the same console as the rest of the desktopnot Apache Spark
  • Users who work with many tabs at once and want vertical tabs and automatic tab suspension without installing extensionsnot Apache Spark

Where each one falls short

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

Apache Spark

  • Running it well is JVM operations work: executor sizing, shuffle partition counts, off-heap memory and serialisation all have to be tuned, and the failures you actually get are out-of-memory errors and skewed shuffles rather than wrong answers, so you need somebody who can read the Spark UI or you will scale the cluster instead of fixing the query.
  • The fastest Spark is not open source. Databricks' Photon engine and comparable vendor accelerations are proprietary, so benchmark numbers quoted for Spark frequently describe a fork you can only rent, and moving off that vendor loses the performance you sized your pipelines around.
  • It is a distributed system with distributed overheads, and modern single-node tools such as DuckDB and Polars finish faster on datasets up to hundreds of gigabytes with no cluster to start, so a Spark job below that threshold is paying coordination cost for nothing.
  • Structured Streaming is micro-batch, which puts an end-to-end latency floor in the range of hundreds of milliseconds to seconds; workloads that need genuine per-event latency go to Flink instead, and discovering this after building on Spark means a rewrite.
  • Major upgrades deliberately break jobs: Spark 4.0 turns ANSI SQL mode on by default, so silent overflow and invalid casts that previously produced nulls now raise runtime errors, and a pipeline that worked for years can start failing purely on upgrade.
  • PySpark hides a process boundary, and Python UDFs serialise every row between the JVM and a Python worker; a direct translation of pandas code into PySpark UDFs can run an order of magnitude slower than the equivalent built-in expressions.

Microsoft Edge

  • Outside the European Economic Area, Edge cannot be uninstalled from Windows, and Windows components such as Widgets, help links and taskbar search results open in it whatever the default browser is set to, so an organisation standardising on Chrome still has to manage and patch Edge.
  • It is Chromium downstream, so Manifest V3 applies exactly as it does in Chrome; full-strength blocking extensions cannot run, and Microsoft's add-ons store adds a second review process rather than a workaround.
  • Almost all of its advantage is conditional on Microsoft 365 and Entra ID; a Google Workspace or AWS-centred organisation gets Chromium plus Microsoft's promotional surfaces and none of the Purview, Intune or conditional access value.
  • Consumer-facing features including Copilot, the Discover pane, shopping notifications and sidebar apps default to on and reappear after feature updates, so suppressing them requires a maintained policy set rather than a one-off configuration.
  • IE mode is a bridge with a maintenance owner attached: the Enterprise Mode Site List must be curated by somebody, and MSHTML receives security fixes but no new capability, so an application parked there gains nothing and its eventual rewrite is only deferred.
  • By default browsing data feeds Microsoft services for Copilot, Discover and shopping features, which in a regulated environment turns the deployment into a policy exercise before it can be approved.

Pricing, plan by plan

Apache Spark

Free

No published plan breakdown. See the Apache Spark review.

Microsoft Edge

Free

No published plan breakdown. See the Microsoft Edge review.

Which should you pick?

Choose Apache Spark if

  • You need unified engine.
  • You want to start without paying.
  • You also want catalyst optimiser.
Apache Spark review

Choose Microsoft Edge if

  • You need internet explorer mode.
  • You want to start without paying.
  • You also want enterprise mode site list.
Microsoft Edge review

Questions people ask

Is Apache Spark or Microsoft Edge better?
Neither clearly leads. Apache Spark starts at Free and Microsoft Edge at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Spark or Microsoft Edge?
Apache Spark starts at Free and Microsoft Edge at Free.
Does Apache Spark or Microsoft Edge run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Apache Spark for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Spark best used for?
Apache Spark is most often used for nightly etl over terabytes in object storage, where a single machine would take longer than the batch window allows, building and maintaining a lakehouse on iceberg or delta lake, where spark handles both the writes and the compaction, feature engineering and model training across datasets too large to fit in pandas on one node, migrating legacy mapreduce or hive workloads onto an engine that is still actively developed and widely supported by cloud vendors. Of those, nightly etl over terabytes in object storage, where a single machine would take longer than the batch window allows and building and maintaining a lakehouse on iceberg or delta lake, where spark handles both the writes and the compaction are not what Microsoft Edge is typically brought in for.
What can Apache Spark do that Microsoft Edge cannot?
Apache Spark covers Unified engine, Catalyst optimiser, DataFrame and SQL APIs, Structured Streaming. Microsoft Edge covers Internet Explorer mode, Enterprise Mode Site List, Entra ID integration, Purview DLP for browsing.

Answered from the vendors’ own pages

Apache Spark: When is Spark the wrong choice?

When your data fits comfortably on one machine. DuckDB or Polars will process hundreds of gigabytes on a single large node faster than a Spark cluster, without a scheduler, a driver or a shuffle. Spark earns its overhead when the data genuinely does not fit.

Microsoft Edge: Can I uninstall Edge from Windows?

In the European Economic Area, yes, because the Digital Markets Act requires it. Elsewhere you cannot, and several Windows components will continue to open it regardless of your default browser.

Apache Spark: Is Spark the same on Databricks as the open source version?

No. Databricks runs its own runtime including the proprietary Photon engine and its own optimisations, so performance figures and some behaviours do not carry over to open source Spark on EMR, Dataproc or your own Kubernetes cluster.

Microsoft Edge: How long will Internet Explorer mode be supported?

Microsoft has committed to supporting IE mode in Edge through at least 2029. It is a migration window rather than a permanent home, since the underlying MSHTML engine gets security fixes but no new capability.

Apache Spark: Can I use Spark for real-time processing?

For near-real-time, yes, with Structured Streaming's micro-batch model, which lands in the sub-second to seconds range. For true per-event latency in the low milliseconds, Flink is the usual choice.

Microsoft Edge: Do Chrome extensions work?

Yes. Edge installs extensions from the Chrome Web Store as well as its own store. Manifest V3 restrictions apply identically, so extensions that Chrome no longer supports do not work here either.

Apache Spark: Does upgrading between major versions break things?

Yes, by design in some cases. Spark 4.0 makes ANSI SQL mode the default, which converts previously silent overflow and cast failures into runtime errors. Upgrades need a testing pass over production pipelines rather than a version bump.

Microsoft Edge: Is it worth deploying if we are not a Microsoft 365 organisation?

Usually not for the management features, which depend on Entra ID, Intune and Purview. Without that stack it is Chromium with a different interface and additional Microsoft promotion.

Apache Spark: Do I need to know Scala?

No. Python covers the vast majority of work and PySpark is the most common interface. Scala still helps when reading the source, writing custom data sources or diagnosing errors that surface as JVM stack traces.

Microsoft Edge: Does it run on Linux?

Yes, there are official Linux builds. Some Windows-specific features, including IE mode, are not available there.

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