Apache Spark vs ClickHouse Cloud

Apache Spark8.9Visit ClickHouse Cloud8.7Visit

Higher score Apache Spark #4 in Big Data Analytics Software 8.9/10 Free plan Free plan✓ 0 of 1 features Visit Apache Spark

vs

ClickHouse Cloud #6 in Big Data Analytics Software 8.7/10 From $50/mo · 30-day trial Free trial✓ 0 of 1 features Visit ClickHouse

• Apache Spark fits best

  Teams building flexible distributed data pipelines

• ClickHouse Cloud fits best

  Teams seeking managed, scalable SQL analytics

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Side by side

Feature	Apache Spark 8.9/10 Visit ↗	ClickHouse Cloud 8.7/10 Visit ↗
At a glance
Editor score	8.9	8.7
Ranking	#4 in Big Data Analytics Software	#6 in Big Data Analytics Software
Best for	Teams building flexible distributed data pipelines	Teams seeking managed, scalable SQL analytics
Pricing model	Free	Paid
Starting price	Free plan	$50/mo
Free plan	✓ (best)	—
Free trial	—	30 days
Deployment	Self-hosted	Cloud
Platforms	Windows, macOS, Linux	Web
Integrations	20 integrations	12 integrations
Features Apache Spark 0/1 · ClickHouse Cloud 0/1
Built-in visualization	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Processing model	Not checked yet	Not checked yet
Documented data scale	Not checked yet	Not checked yet
Data source connectors	Not checked yet	Not checked yet
Query languages	Not checked yet	Not checked yet
Our review
Pros	Processes batch and streaming workloads with SQL and DataFrame APIs Supports Python, SQL, Scala, Java, and R interfaces Runs on Standalone, YARN, or Kubernetes and connects to varied data sources	Separates compute and storage with vertical and horizontal scaling Automates replication, backups, and guided restore workflows Offers SQL access, managed ingestion, and infrastructure APIs
Cons	Self-hosted deployment requires teams to manage their environment Not a managed warehouse or hosted ETL service Support is through community resources and documentation	No free plan; pricing starts at $50 per month Usage-based pricing lacks a conventional public plan table Not suited to teams seeking a perpetual free tier
Our verdict	Apache Spark is an open-source distributed computing engine for large-scale data processing and analytics. Developers, data engineers, analysts, and organizations processing data across clusters can use it for batch workloads, incremental… Read the review →	ClickHouse Cloud is a managed, cloud-hosted service for ClickHouse, a SQL-based column-oriented database built for real-time analytics, observability, data warehousing, and AI-related workloads. It is aimed at teams that want analytical… Read the review →

Strengths and trade-offs

• Apache Spark — where it wins

  • Processes batch and streaming workloads with SQL and DataFrame APIs
  • Supports Python, SQL, Scala, Java, and R interfaces
  • Runs on Standalone, YARN, or Kubernetes and connects to varied data sources

  Where it doesn't

  • Self-hosted deployment requires teams to manage their environment
  • Not a managed warehouse or hosted ETL service
  • Support is through community resources and documentation

• ClickHouse Cloud — where it wins

  • Separates compute and storage with vertical and horizontal scaling
  • Automates replication, backups, and guided restore workflows
  • Offers SQL access, managed ingestion, and infrastructure APIs

  Where it doesn't

  • No free plan; pricing starts at $50 per month
  • Usage-based pricing lacks a conventional public plan table
  • Not suited to teams seeking a perpetual free tier

• Apache Spark8.9/10 · Free plan

  Flexible distributed processing for teams building batch and streaming data pipelines.

  Visit Apache SparkFull verdict →
• ClickHouse Cloud8.7/10 · From $50/mo · 30-day trial

  Scalable managed SQL analytics with a $50/month starting price and a 30-day trial.

  Visit ClickHouseFull verdict →