Comparison

Apache Spark vs Census

On the evidence we track, Census leads this comparison with a composite score of 82/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Apache Spark61
Census82
Score
Vioscale score
Apache Spark61 / 100low · 38%updating
Census82 / 100medium · 74%updating
Pricing
Free tier
Apache Spark
Census
Model
Apache Sparkcommercial
Censusfreemium
Price level
Apache Sparkfree
Censuslow
Transparent
Apache Spark
Census
Integrations
Count
Apache Spark5
Census900
Security
Disclosure policy
Apache Spark
Census
Gdpr
Apache Spark
Census
Hipaa
Apache Spark
Census
Iso27001
Apache Spark
Census
Pci
Apache Spark
Census
Scorecard
Apache Spark5.6
Census
Soc2
Apache Spark
Census
Reliability
Status page
Apache Spark
Census
Adoption
Dependent repos
Apache Spark8,896
Census
Github stars
Apache Spark43,882
Census
Activity
Commits last 30d
Apache Spark100
Census
License
Spdx
Apache SparkApache-2.0
Census
Language
Primary
Apache SparkScala
Census

Capabilities

Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.

Core
Tool role
Apache SparkProcessing engine
CensusELT / ingestion
Processing paradigm
Apache SparkBatch + streaming
CensusBatch + streaming
Connectivity
Connector count
Apache Spark-
Census900+ sources and destinations
CDC / log-based replication
Apache Spark-
Census
Transformation
In-warehouse transformation (push-down)
Apache Spark-
Census
dbt-native orchestration
Apache Spark-
Census
Deployment
Self-hosted / open-source available
Apache Spark
Census
Managed cloud available
Apache Spark-
Census
Governance
Data lineage / asset catalog
Apache Spark-
Census
Authoring
Python-first authoring
Apache Spark-
Census
Execution
Incremental / partition-aware runs
Apache Spark-
Census
Quality
Built-in data quality / tests
Apache Spark-
Census
Scale
Horizontal scale (distributed executor)
Apache Spark
Census

What each one is

The product in its own terms, so the numbers below have context.

Apache Spark

Apache Spark is an open-source, multi-language distributed computing engine that unifies data engineering, data science, and machine learning workloads. It processes data at scale using batch or streaming paradigms, provides SQL query capabilities for analytics, and includes built-in libraries for machine learning and graph processing.

Independently observed

Census

Leader

A fully managed data integration platform that moves data from 900+ sources into warehouses, lakes, and applications, then transforms and activates it for analytics and AI. Supports real-time and scheduled synchronization with enterprise security and compliance certifications.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Apache Spark

Open sourceFree tier
as of verify ↗

Census

Leader
from $5/moUsage-basedFree tier14-day trial

Free tier available. Usage-based pricing starting $5/month base + per-MAR metering. Annual contracts save up to 22%. Enterprise License Agreements available for fixed annual pricing.

  • FreeFree
    • Access to core platform
    • 700+ connectors
    • 200+ activation destinations
    • dbt Core integration
  • StandardUsage-based pricing on Monthly Active Rows; $5 base charge per connection (1-1M MAR range)
    • Unlimited users
    • 15-minute syncs
    • 700+ fully managed connectors
    • 200+ fully managed activation destinations
    • dbt Core integration
    • +3 more
  • EnterpriseAll Standard features plus premium sync speed and deployment flexibility
    • All Standard features
    • 1-minute syncs
    • Fivetran Activations Audience Hub
    • Enterprise database connectors
    • Custom roles
    • +4 more
  • Business CriticalEnterprise-grade security with customer-controlled encryption and advanced compliance
    • All Enterprise features
    • Customer-managed keys for encryption
    • PCI DSS Level 1 certification
    • Private networking options
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Apache Spark
Census
CLI
Apache Spark
Census
Deployment
Cloud / SaaS
Apache Spark
Census
Self-hosted
Apache Spark
Census
On-premise
Apache Spark
Census
Hybrid
Apache Spark
Census

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Apache Spark

5 total
  • Hadoop
  • HDFS
  • YARN
  • Kubernetes
  • Docker
Independently observed

Census

Leader
14 total
  • Snowflake
  • Google BigQuery
  • Salesforce
  • Databricks
  • AWS Redshift
  • Azure Synapse
  • Marketo
  • HubSpot
  • Zendesk
  • Braze
  • Facebook Ads
  • Google Ads
  • Postgres
  • MySQL
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.