vioscaleAI
Comparison

Apache Spark vs Rivery

On the evidence we track, Rivery leads this comparison with a composite score of 79/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Apache Spark full profile →Rivery full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Apache Spark52
★Rivery79
Score
vioscaleAI score
Apache Spark52 / 100low · 34%
Rivery79 / 100medium · 74%
Pricing
Free tier
Apache Spark✓
Rivery✓
Model
Apache Sparkcommercial
Riveryfreemium
Price level
Apache Sparkfree
Riverylow
Starting price
Apache Spark–
Rivery$0.75
Transparent
Apache Spark✓
Rivery✓
Integrations
Count
Apache Spark5
Rivery200
Security
Certifications
Disclosure policy
Apache Spark✓
Rivery–
Gdpr
Apache Spark–
Rivery✓
Hipaa
Apache Spark–
Rivery✓
Iso27001
Apache Spark–
Rivery✓
Scorecard
Apache Spark5.6
Rivery–
Soc2
Apache Spark–
Rivery✓
Trust center
Vulnerabilities
Reliability
Sla pct
Apache Spark–
Rivery99
Status page
Apache Spark–
Rivery✓
Adoption
Dependent repos
Apache Spark8,896
Rivery–
Github stars
Apache Spark44,188
Rivery–
Activity
Commits last 30d
Apache Spark100
Rivery–
License
Spdx
Apache SparkApache-2.0
Rivery–
Language
Primary
Apache SparkScala
Rivery–
Market
Availability
Content
Faq
Apache Spark6 items
Rivery6 items

Capabilities

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

Core
Tool role
Apache SparkProcessing engine
RiveryELT / ingestion
Processing paradigm
Apache SparkBatch + streaming
RiveryBatch + streaming
Connectivity
Connector count
Apache Spark-
Rivery200+
CDC / log-based replication
Apache Spark-
Rivery✓
Transformation
In-warehouse transformation (push-down)
Apache Spark-
Rivery✓
dbt-native orchestration
Apache Spark-
Rivery-
Deployment
Self-hosted / open-source available
Apache Spark✓
Rivery-
Managed cloud available
Apache Spark-
Rivery✓
Governance
Data lineage / asset catalog
Apache Spark-
Rivery-
Authoring
Python-first authoring
Apache Spark-
Rivery✓
Execution
Incremental / partition-aware runs
Apache Spark-
Rivery✓
Quality
Built-in data quality / tests
Apache Spark-
Rivery✓
Scale
Horizontal scale (distributed executor)
Apache Spark✓
Rivery-

What each one is

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

Apache Spark

A data processing framework offering high-level APIs across multiple programming languages and integrated tools for SQL processing, machine learning, graph analysis, and real-time stream processing.

Independently observed

Rivery

Leader

Rivery is a SaaS ELT platform that enables users to extract data from multiple sources (apps, databases, APIs) and load it into data warehouses with SQL or Python transformations. It includes reverse ETL capabilities to push processed data back into business applications.

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 ↗

Rivery

Leader
from $0.75/RPUUsage-basedFree tier

From $0.75 per RPU. Usage-based pricing (100MB data = 1 RPU). Free tier available. Annual and pay-as-you-go options.

  • Starter$0.75 per RPU (PAYG), lower rate with annual commitment
    • Basic ETL functionality
    • Unlimited users
    • Orchestration workflows
  • Professional$1.20 per RPU (PAYG or annual)
    • Advanced transformation capabilities
    • Unlimited users
    • Multiple workflows
  • EnterpriseContact sales
    • Unlimited users, environments, workspaces
    • SSO, VPN
    • Built-for-you connectors
    • Dedicated solutions engineers
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✗
Rivery✓
CLI
Apache Spark✓
Rivery✓
Deployment
Cloud / SaaS
Apache Spark✗
Rivery✓
Self-hosted
Apache Spark✓
Rivery✗
On-premise
Apache Spark✓
Rivery✗

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

Rivery

Leader
12 total
  • Salesforce
  • HubSpot
  • Slack
  • Tableau
  • Snowflake
  • BigQuery
  • Amazon Redshift
  • Azure Synapse Analytics
  • Databricks
  • NetSuite
  • dbt
  • Airflow
Independently observed
Still deciding?

Apache Spark or Rivery: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

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