API vs File Delivery: How to Choose the Right Data Delivery Method

Choosing Your Data Delivery Method

How you receive your data is almost as important as the data itself. The right delivery method depends on your technical infrastructure, data volume, update frequency, and team capabilities.

Delivery Methods Compared

REST API

Best for: Real-time access, small to medium queries, application integration

Pros:

• On-demand access to latest data
• Easy to integrate into applications
• Flexible querying and filtering
• Well-documented with SDKs

Cons:

• Rate limits may restrict high-volume access
• Requires programming knowledge
• Network latency for large datasets
• Ongoing integration maintenance

S3 Bucket / Cloud Storage

Best for: Large datasets, batch processing, data lake integration

Pros:

• Handle massive file sizes efficiently
• Native integration with cloud data tools
• Support for Parquet and other columnar formats
• Event-driven processing (trigger on new file)

Cons:

• Requires cloud infrastructure
• Less flexible than API for ad-hoc queries
• May involve cloud storage costs
• Setup requires DevOps knowledge

SFTP

Best for: Enterprise environments, scheduled batch delivery, legacy systems

Pros:

• Secure and encrypted transfer
• Works with traditional ETL tools
• Simple and reliable
• No cloud dependency

Cons:

• Manual or scheduled transfers only
• No real-time capability
• Limited to file-based formats
• Requires server management

Streaming (Kafka, WebSocket)

Best for: Real-time data processing, event-driven architectures

Pros:

• Lowest latency
• Continuous data flow
• Event-driven processing
• Scalable throughput

Cons:

• Most complex to implement
• Requires stream processing infrastructure
• Higher operational overhead
• Not all data types suit streaming

Direct Download

Best for: One-time analysis, small datasets, non-technical users

Pros:

• Simplest method
• No technical setup required
• Works with Excel and other desktop tools

Cons:

• Manual process
• Not scalable
• No automation
• Data becomes stale quickly

Decision Framework

DataProjects Delivery Options

We support multiple delivery methods for every data product, so you can choose what works best for your team and infrastructure. All methods include documentation, sample files, and technical support.

Browse data products with flexible delivery →