We are almost at the end of our Summer of Workflows series!
This week we are featuring the Label Studio Workflow inside ApertureDB Cloud:
See It In Action
Spin up Label Studio connected to your ApertureDB instance
Label & annotate images right where your data lives
Build labeled datasets faster without manual transfer of cloud bucket URLs.
Perfect for anyone building multimodal AI agents or applications and looking to streamline annotation + dataset creation.
Ready to try it yourself? Start here
Read The Docs | Explore The Code | Additional Resources
Only 2 workflows left in the summer series stay tuned!
Feedback always welcome we re building this for the AI/ML community!
Hi Vishakha – How does ApertureDB compare to alternatives in terms of read/write speed and query performance on both small and large datasets? Additionally, does it have any unique optimizations or "special sauce" for faster token processing?
ApertureDB
@mceoin great question - we have some recent benchmarking results summarized here: https://docs.aperturedata.io/category/benchmarks--comparisons
Mainly, for vector search, we are anywhere between 2-10X faster in terms of KNN throughput and offer sub-10msec latencies on service side. For graph search, our prior evaluations against Neo4j put us sometimes over 30X faster. Mainly, ApertureDB continues to scale for very large workloads (Billion scale graphs so far and 10s and millions of embeddings per search space). We have optimizations when we load data - so far we have tested it more on parallel load of large number of blobs or images - we can extend that to faster token processing though we are yet to test it.
@vishakha_gupta4 30x Neo4j is very impressive. Will have to check it out!
ApertureDB
@mceoin let's set up time to chat - would love to understand your use case and see if we can collaborate.
This is the hidden missing piece in SO MANY ML workloads. Great work by the ApetureDB team!
ApertureDB
Thank you @aronchick we look forward to our collaborative examples coming in the near future to demonstrate how everyone can use these end to end even starting from edge to query
Love this! Super useful for devs. Congrats on the launch!
ApertureDB
@mahima_manik thank you for your support. Looking forward to integrating this with Datahawk!