Structure preservation
Maintain all nested objects, arrays, and complex document hierarchies in JSON format.
Data ops
Export Firestore to JSON format
Export Firestore collections to JSON while preserving complex data structures, nested objects, and all Firestore data types.
Capabilities
JSON export features
Data type integrity
Preserve Firestore data types including timestamps, geopoints, and references.
Subcollection support
Export subcollections as part of the hierarchical JSON structure. (coming soon)
Filtered exports
Apply queries and filters to export specific documents or data ranges.
Batch processing
Handle large collections efficiently with progress tracking and memory optimization.
Custom formatting
Configure JSON output formatting including indentation and structure options. Fuego also supports JSONL format for streaming large datasets.
Formats
JSON export formats
Document array format
[
{
"id": "doc1",
"data": {
"name": "John",
"profile": {
"age": 30,
"active": true
}
}
}
]Collection object format
{
"doc1": {
"name": "John",
"profile": {
"age": 30,
"active": true
}
}
}FAQ
Frequently asked questions
Does JSON export preserve Firestore data types?
Yes, Fuego preserves all Firestore data types when exporting to JSON, including timestamps, geopoints, references, and nested objects with their original structure.
Which JSON output formats are supported?
Fuego can export a collection as a document array or as a collection object keyed by document ID. It also supports JSONL format for streaming large datasets line by line.
Can I export subcollections in JSON format?
Exporting subcollections as part of a single hierarchical JSON structure is coming soon. You can already export any subcollection on its own by selecting it as the export source.
What's the maximum collection size for JSON export?
Fuego handles collections of any size with efficient batch processing. Large collections are exported in chunks to maintain performance and memory efficiency.
Get started
Export your Firestore data as JSON
Export Firestore collections to JSON format while preserving all data types and structures. Perfect for backups and migrations.