Decentralized platform for connectomics data
Store, query, and share synapse metrics from electron microscopy datasets. Cloud-native, federated, and open to the community.
Store, query, and share synapse metrics from electron microscopy datasets. Cloud-native, federated, and open to the community.
A cloud-native data platform for connectomic research that can be openly queried and externally contributed to, facilitating data access and collaboration across experimental and computational neuroscience.
Use SyQL, a structured query language designed for connectomics data, to search geometric, categorical, and relational data types across neuronal compartments.
Deploy on Kubernetes clusters and form a data federation across voluntary data centers. Contributors retain full data ownership with cite-able DOIs.
Perform graph analysis, meta-analysis, and analytics on synapse, axon, dendrite, vesicle, and mitochondria datasets at scale.
Built on a modern stack for performance, scalability, and accessibility.
PostgreSQL, ClickHouse, MinIO, and Apache Arrow Flight for fast columnar queries and object storage.
Contributors retain ownership, associate cite-able DOIs per dataset, and can modify or update their data at any time.
Integrate any number of voluntary data centers connected through the SynDB API endpoint for distributed queries.
Web UI, REST API, and CLI. Access your data however you prefer, from browser to terminal.
Automated ingestion from major connectomics data sources with validation, transformation, and graph precomputation.
Kubernetes-native deployment with ClickHouse sharding for scaling across data centers and workloads.
Curated collection of synaptic connectome and neuro-anatomical datasets across model organisms and human tissue.
Explore the platform, read the documentation, or dive into the source code.