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Alternatives to Apache Spark

21 technology tools sit alongside Apache Spark in this directory. Below is what separates each from Apache Spark on the figures we hold, price, model, tier count and rating, and a direct comparison for every one.

Alternatives listed
21
With a free tier
12
Cheaper to start
-
Apache Spark starts at
Free

Why people look past Apache Spark

Nothing on the record flags a reason to move. Apache Spark has a free tier. People still switch over fit and workflow, and those are not things a catalogue entry can measure, which is what the comparisons below are for.

What each alternative does differently

Ordered by the aggregated rating on each catalogue entry. Differences are drawn from price, pricing model, tier count and rating, the fields the category listing carries. For a feature-level difference, follow the head-to-head link on each card: those pages read both full records.

Free, then $10.99/month

Manage your team's work, projects, & tasks online

  • Publishes an entry price of $10.99/month, where Apache Spark does not.
Free, then $7/user/month (annual)

One app to replace them all

  • Publishes an entry price of $7/user/month (annual), where Apache Spark does not.
Free, then $10/month

The issue tracking tool you'll enjoy using

  • Publishes an entry price of $10/month, where Apache Spark does not.
Free, then $12/month

The collaborative interface design tool

  • Publishes an entry price of $12/month, where Apache Spark does not.
Free, then $400/month

Capture, organize, and analyze product feedback

  • Publishes an entry price of $400/month, where Apache Spark does not.
  • Sold on a subscription model rather than open-source.
Free, then $9.99/month

Cloud storage and file synchronization service

  • Publishes an entry price of $9.99/month, where Apache Spark does not.
  • Sold on a freemium model rather than open-source.

Every Apache Spark alternative at a glance

A dash means the catalogue entry carries no figure, not that the answer is nothing.

Technology alternatives to Apache Spark
ToolEntry priceModelTiersHead to head
Apache Spark (this page)FreeOpen-source-
AsanaManage your team's work, projects, & tasks onlineFree, then $10.99/month--vs Apache Spark
ClickUpOne app to replace them allFree, then $7/user/month (annual)-5vs Apache Spark
LinearThe issue tracking tool you'll enjoy usingFree, then $10/month-4vs Apache Spark
FigmaThe collaborative interface design toolFree, then $12/month-4vs Apache Spark
CannyFree, then $400/monthSubscription4vs Apache Spark
DropboxFree, then $9.99/monthFreemium4vs Apache Spark
AmplitudeFree, then $49/month-4vs Apache Spark
SafariFreeFree-vs Apache Spark
Auth0Free, then $35/month-3vs Apache Spark
DockerFree, then $11/month--vs Apache Spark
CloudAMQPFree, then $19/monthFreemium6vs Apache Spark
CodaFree, then $10/month--vs Apache Spark
PersoneticsOn requestQuote1vs Apache Spark
ZetaOn requestQuote1vs Apache Spark
FinxactOn requestQuote1vs Apache Spark
Thought MachineOn requestQuote1vs Apache Spark
AlkamiOn requestQuote1vs Apache Spark
Datadog$15/month-3vs Apache Spark
Drift$2500/month--vs Apache Spark
Dashlane$4.99/month-1vs Apache Spark
Close$9/month-4vs Apache Spark

Ratings are aggregated from third-party sources and imported with each catalogue entry; Softwr hosts no reviews of these products. How each figure is used is set out on the Apache Spark badges page.

Cheaper ways to solve the same problem

Free to start (12)

These publish a tier that costs nothing, so they can be evaluated before any money changes hands.

What you would be giving up

Apache Spark is most often brought in 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. Anything replacing it has to cover the ones you actually depend on, and a cheaper tool that misses one of them is not cheaper.

Two things this page cannot settle. It compares on price, model, tier count and rating, because those are the fields the category listing carries, feature-level differences need both full records, which is what the head-to-head pages load. And the ratings are third-party aggregates imported with each entry rather than reviews written here, so a 0.2 difference between two tools is noise rather than a finding.

If Apache Spark is broadly right and the question is cost, the Apache Spark pricing breakdown covers every tier and what each one adds. If you want the whole field rather than a shortlist, the Technology category lists everything the directory holds, and best technology tools ranks them.

Apache Spark runs on not recorded. Platform coverage is not carried on the category listing for the alternatives, so it is one more thing to check on each head-to-head page rather than here.

Questions about Apache Spark alternatives

What are the main alternatives to Apache Spark?
21 other technology tools are listed in this directory, led by Asana, ClickUp, Linear, Figma. They are ordered by the aggregated rating on each catalogue entry, not by any Softwr ranking.
What is the best free alternative to Apache Spark?
12 of the alternatives listed here can be used without paying: Asana, ClickUp, Linear, Figma, Canny.
Is there a reason to switch away from Apache Spark?
Nothing in the data flags one. Apache Spark has a free tier. Fit and workflow are the usual reasons to move, and those are not things this record can measure.
What would I give up by switching from Apache Spark?
Apache Spark is most often brought in 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. Anything you replace it with has to cover the ones you actually rely on, the side-by-side comparisons linked from each alternative below put the two feature records against each other.
Is there an open-source alternative to Apache Spark?
None of the technology tools listed here are recorded as open source. That is what the licence field on each entry says, and the field is not always filled in, so it is worth checking directly for any tool you are serious about.
How were these Apache Spark alternatives chosen?
They are the tools filed in the same category, Technology, ordered by the aggregated rating on each entry. There is no editorial shortlist, and nothing on this page is paid: no sponsored placement runs on alternatives pages and the order cannot be bought. Softwr has not used these products.
Where can I compare Apache Spark against one of these directly?
Every alternative below has a side-by-side page against Apache Spark covering price, platforms, features and what each one is used for. Those pages read the full record for both products rather than the summary shown here.
Does this list cover every technology tool?
No. It covers what this directory holds in the Technology category, 21 tools beside Apache Spark. The category page lists the rest of the catalogue as it grows.

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