COMPARE REACTOR

REACTOR vs. Fivetran

Reactor and Fivetran are both data integration platforms designed to streamline the process of moving data from various sources to destinations for analysis

Reactor will migrate you off Fivetran for free and onboard, map and model your data faster at a fraction of the cost.

See more on how Reactor outperforms Fivetran below.

Features

Reactor

Fivetran

Price / Cost Structure

Reactor

Transparent subscription and pay-per-use models
Cost-efficient at both high and low volumes
Predictable pricing based on configurations
All-in-one flat fee pricing for transformation, data quality, and workflows
Discounts for high-volume usage customers

Fivetran

Subscription-based pricing plus costs for volume
Costs increase significantly with larger volumes
Charges extra for advanced features
Requires separate costs for transformation tools
Pay-per-connector model can become expensive

Overall Performance and Scalability

Reactor

Superior real-time data processing for sub-second latency
Built on Kafka for high scalability for data source ingress
Efficient in both streaming and batch processing
Optimized for high-throughput use cases
Advanced in-memory processing ensures low latency
Embedded Datalake to help with high-volumes to reduce data warehouse Loads and computer

Fivetran

Primarily batch processing with limited real-time
Supports scaling but struggles with petabyte-level data
High throughput depends on warehouse power
Limited adaptability for streaming data scenarios
Not optimized for low-latency use cases

Data Integration Capabilities

Reactor

Wide range of connectors for real-time and batch data sources
Supports CDC-like capabilities through data replay and real-time streaming for adaptability
Schema adaptability through replay and reprocessing capabilities reduces integration complexity
Integrates with both legacy and modern systems, providing flexibility
Advanced data flow management to ensure consistent data integration
Immutable Source logging to benefit many CDC, compliance and troubleshooting use cases

Fivetran

Numerous connectors mainly for batch integration
Limited CDC support, relies on external tools
Focus on common SaaS sources, limited legacy support
Data ingestion occurs at fixed intervals
Complexity arises with non-SaaS data integration

Data Transformation Features

Reactor

Built-in advanced transformations functions and tools
Support embedded Python transforms
Supports complex mappings with automated schema evolution using proprietary “Replay” feature
Transformation at ingress and in-motion reduces downstream load and reduces compute cost
Low-code interface for transformation logic
Handles enrichment and contextual transformation

Fivetran

Supports basic transformations like renaming
Requires dbt for advanced transformations
Limited in-flight transformations
Manual SQL coding for complex operations
No native enrichment; depends on external tools

Schema

Reactor

Flexible schema management with support for replay and reprocessing capabilities
Streamlines schema updates with manual configuration for complex use cases
Offers semantic labeling during ingestion and transformation modeling to enrich data context to support BI and AI
Focuses on adaptability and consistency to ensure minimal disruption during schema changes

Fivetran

Manual intervention for schema changes
Does support single source Landing table schemas but not multi-source schema unification, this happens in the data warehouse
Focus on migration, leading to occasional disruptions
Relies on the warehouse for versioning
Limited support for semantic schemas
Manual schema change planning leads to delays

Semantic Labeling

Reactor

Integrated at ingestion phase and supported in-motion at the transformation unification phase
Consistent business-friendly naming
Provides industry-specific context
Governed by built-in rules for accuracy
Automated updates downstream based on changes upstream

Fivetran

Requires dbt for implementation
Added post-ingestion, leading to disconnected workflows
No native support for industry-specific labels
Manual SQL labeling adds complexity
Limited governance for label accuracy

Data Quality and Governance

Reactor

Integrated data validation and enrichment to enhance data quality at the point of ingestion and in-motion during transformation
Immutably logs raw data for auditability, ensuring an accurate and reliable historical record
Focused data quality checks during ingestion and at each stage of transformation for consistency
Evolving features to enhance compliance and security, aligned with industry needs

Fivetran

Quality checks post-ingestion require manual setup
No native lineage tracking; relies on warehouse
Limited governance; security managed by warehouse
Basic data validation; lacks quality control
Limited compliance support, needs third-party tools

Cloud vs. On-Premise Deployment

Reactor

Cloud-native deployment optimized for scalability and performance
Hybrid capabilities to integrate with existing cloud environments and other data systems
Managed and Dedicated service model ensures consistent performance across environments
Flexibility to deploy in multi-cloud setups for additional reliability
Integration with private cloud environments for enhanced data security

Fivetran

Cloud-only; no on-premise support
Limited flexibility for custom deployment requirements
Best suited for deployments in major cloud providers like AWS, Azure, or GCP
Lacks direct integration for private cloud environments
Hybrid scenarios need additional third-party tools

Analytics-Ready Models

Reactor

Prebuilt Revenue/Cost-specific Analytical models
Flexible model customization
Includes semantic enrichment for relevance
Adaptive models evolve with business needs
Direct ML/AI integration for predictive scenarios
Supports dbt core for model integration with your data warehouse

Fivetran

Requires external tools like dbt for model development
No prebuilt Analytics models; must build from scratch
Models managed by the warehouse
Limited support for evolving models
No direct ML integration

User Interface and Ease of Use

Reactor

Low-code interface for all users
Low learning curve with tutorials
Customizable and Pre-built Revenue/Cost Analytics dashboards for different roles
Real-time transformation visualization with error guidance

Fivetran