Grakn Labs with Google Bigtable via JanusGraph
My colleague Domenico and I recently attended Google Cloud OnBoard in London. The day was packed with great information about Google Cloud Platform products: serverless, Cloud AI, and Stackdriver, because who isn’t excited about monitoring!
We witnessed a long awaited announcement with a live demo of the second ever virtual machine creation in the brand new Google Cloud Platform London region. Nice to see 3 zones in europe-west2!
We are very excited about our partnership with Google. In case you haven’t been following Grakn’s development process like a hawk — star and follow the Grakn repository on GitHub! — we have a neat pull request coming up from one of our lead developers, Filipe, that will allow using Google Bigtable as a storage layer.
Bigtable is a low latency and high throughput data storage system built on Google File System with support for the open-source, industry-standard HBase API. Bigtable scales linearly and provides 10,000 queries per second at 6 ms for each node. Gigantic data here we come!
Filipe reckons the JanusGraph PR should be merged within the next month for release 0.17; then testing against Bigtable can go full steam ahead. Some members of our community are eagerly awaiting the merging to be completed.
I have no doubts the future of Google Cloud holds amazing opportunities for big data and artificial intelligence. Google has made strides of progress in this area over the last year, with new products, product features and amazing performance improvements. Add to that project based permissions and billing, as well as automated discounts, and Google Cloud is the most attractive platform for prototyping applications and large scale analytics.
Please join our Community Slack channel or sign up for our community newsletter for the latest updates on when we are releasing Grakn on GoogleCloud. Or if you’re interested in testing out the stack in your own environment, download Grakn now and get started!
