Apache Spark vs Hevo Data
No clear leader: Hevo Data (65.2) and Apache Spark (60.5) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
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.
Hevo Data
Hevo is an end-to-end ELT platform that automates data movement from 150+ sources into warehouses with built-in dbt-based transformations and real-time operational visibility. It handles schema changes automatically, recovers from failures without manual intervention, and scales to process petabytes of data monthly.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Hevo Data
From $0 (Free). Starter $265–$299/month. Professional $750–$849/month. Custom plans available.
- FreeFree
- 1-hour scheduling
- Up to 5 users
- Starter$299/month (monthly) or $265/month (annual, 12% off)
- Everything in Free, plus
- Up to 10 users
- 150+ connectors
- dbt integration
- SSH/SSL
- +1 more
- Professional$849/month (monthly) or $750/month (annual, 12% off)
- Everything in Starter, plus
- Unlimited users
- Hevo APIs for Pipeline automation
- Reverse SSH
- Add-ons available
- Business CriticalContact sales
- Everything in Professional, plus
- Streaming Pipelines
- Role Based Access Control
- Single sign-on
- Multiple Workspaces
- +2 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Apache Spark
- Hadoop
- HDFS
- YARN
- Kubernetes
- Docker
Hevo Data
- MySQL
- PostgreSQL
- SQL Server
- MongoDB
- Oracle
- Redshift
- BigQuery
- MariaDB
- Salesforce
- HubSpot
- Zendesk
- Shopify
- Google Ads
- Facebook Ads
- Amazon S3
- Google Cloud Storage
- Azure Blob
- SFTP
- Snowflake
- Google Cloud
- dbt Core
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.