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Apache Spark vs Xlinesoft

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
Free plan
Yes
Full reviewWebsite
Xlinesoft logo

Xlinesoft

Developer Tools

PHPRunner and ASPRunner.NET: low-code builders that turn databases into web apps

From
$599/one-time
Free plan
No
Full reviewWebsite

The short version

  • Only Apache Spark has a free tier, so it costs nothing to try first.
  • 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.; Xlinesoft the purchase includes one year of support and upgrades only; after that, newer versions require a paid upgrade.
  • They diverge on capability: Apache Spark covers Unified engine, Xlinesoft covers Database to web application.
  • Prices and features above were last checked on 12 November 2026.

Where they differ

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

Attributes where Apache Spark and Xlinesoft differ
AttributeApache SparkXlinesoft
Starting priceFree$599/one-time
Pricing modelopen-sourceone-time
Free tierYesNo
PlatformsWebWindows, macOS, Linux, Web
CategoryTechnologyDeveloper Tools

Identical on both: user rating (Not yet rated).

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 Xlinesoft

  • Database to web application
  • Page Designer and themes
  • Events, custom code and AI assistance
  • Security and dynamic permissions
  • Reports, charts and dashboards
  • Wide database support
  • Enterprise authentication
  • Application templates and plugins

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 Xlinesoft
  • Building and maintaining a lakehouse on Iceberg or Delta Lake, where Spark handles both the writes and the compactionnot Xlinesoft
  • Feature engineering and model training across datasets too large to fit in pandas on one nodenot Xlinesoft
  • Migrating legacy MapReduce or Hive workloads onto an engine that is still actively developed and widely supported by cloud vendorsnot Xlinesoft

Xlinesoft

  • Building an internal web application on top of an existing SQL databasenot Apache Spark
  • Replacing a Microsoft Access application with a browser-based onenot Apache Spark
  • Creating admin interfaces and customer or partner portals with role-based accessnot Apache Spark
  • Agencies and freelancers delivering self-hosted database applications to clientsnot Apache Spark
  • Teams that need low-code tooling but must keep applications on their own serversnot 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.

Xlinesoft

  • The purchase includes one year of support and upgrades only; after that, newer versions require a paid upgrade.
  • Multiple database connections, REST API connections and single sign-on through Active Directory, Okta or SAML are Enterprise-only, which raises the price from $599 to $999 per developer.
  • Self-hosted only. Hosting, database administration, backups, runtime updates and access-control configuration remain the customer's job, as Xlinesoft's own product facts page states.
  • Applications built on Microsoft Access require a Windows web server.
  • PHPRunner and ASPRunner.NET are separate products with separate licences, so moving a project between PHP and .NET is not covered by one purchase.

Pricing, plan by plan

Apache Spark

Free

No published plan breakdown. See the Apache Spark review.

Xlinesoft

$599/one-time
  • PHPRunner Professional$599/one-time
    • Single developer licence
    • Core application-building product
    • One year of email support and upgrades
  • PHPRunner Enterprise Edition$999/one-time
    • Single developer licence
    • Multiple database and REST API connections
    • Data encryption
  • PHPRunner MultiDev Edition$3599/one-time
    • Three Enterprise Edition licences
    • Multiple developers working on the same project at the same time
    • One year of email support and upgrades
  • ASPRunner.NET Professional$599/one-time
    • Generates ASP.NET web applications
    • Same database coverage and security model as PHPRunner
    • Enterprise Edition available

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 Xlinesoft if

  • You need database to web application.
  • You work on Windows, macOS, Linux, Web.
  • You also want page designer and themes.
Xlinesoft review

Questions people ask

Is Apache Spark or Xlinesoft better?
Neither clearly leads. Apache Spark starts at Free and Xlinesoft at $599/one-time, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Spark or Xlinesoft?
Apache Spark has a free tier; the other does not. Paid plans start at Free for Apache Spark and $599/one-time for Xlinesoft.
Does Apache Spark or Xlinesoft run on more platforms?
Apache Spark runs on Web. Xlinesoft runs on Windows, macOS, Linux, Web.
Can I use Apache Spark for free?
Yes. Apache Spark has a free tier, so you can try it without paying. Xlinesoft starts at $599/one-time.
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 Xlinesoft is typically brought in for.
What can Apache Spark do that Xlinesoft cannot?
Apache Spark covers Unified engine, Catalyst optimiser, DataFrame and SQL APIs, Structured Streaming. Xlinesoft covers Database to web application, Page Designer and themes, Events, custom code and AI assistance, Security and dynamic permissions.

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.

Xlinesoft: How much does PHPRunner cost?

PHPRunner Professional is $599, Enterprise Edition is $999 and MultiDev Edition, which includes three Enterprise licences, is $3,599. Professional and Enterprise prices are per developer, and each purchase includes one year of email support and free upgrades.

Source
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.

Xlinesoft: Which databases does PHPRunner support?

MySQL, MariaDB, Microsoft SQL Server, PostgreSQL, Oracle, Microsoft Access, IBM DB2, Informix, SQLite and ODBC-compatible databases. Using multiple database connections in one project is an Enterprise Edition feature.

Source
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.

Xlinesoft: Is there a free trial?

Yes. PHPRunner can be downloaded and evaluated for 21 days, and public live demos show the generated applications, with add, edit and delete disabled.

Source
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.

Xlinesoft: Where do PHPRunner applications run?

On your own web server. The documented options are Apache and Microsoft IIS with a compatible PHP runtime and database extensions, and a built-in web server is available for local testing. The development application itself runs on Windows, macOS and Linux.

Source
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.

Xlinesoft: What does the Enterprise Edition add?

Multiple database and REST API connections, data encryption, and enterprise authentication including Active Directory, Okta, Azure AD, OpenID and SAML, on top of all Professional features.

Source
Xlinesoft: What is ASPRunner.NET?

Xlinesoft's equivalent builder for ASP.NET. It generates database-driven ASP.NET web applications with the same kind of forms, reports, charts, permissions and Page Designer, and is sold separately from $599.

Source
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