Retinadata solves large-scale data problems using open-source technologies. We have years of on-hands production operations and software design-development experience.
- Large-scale can be: Volume, Throughput, Number of users, …
- Data examples are: Videos, Images, Events, …
- Problems generally: Storing, Processing, Accessing, …
Match any of those like …
- high-throughput log processing
- large-capacity video storage
- lots of users accessing images
You can be sure that we’ll have a solution for any of those.
In order to put those solutions to real-world uses, we:
- Do the necessary research
- Apply the industry best-practices
- Design the whole architecture
- Develop required applications
- Generate usable documentation
- And of course provide support
Our History
2010-2012
- Founders meet at TUBITAK (The Scientific and Technological Research Council of Turkey)
- Distributing a GPU job on large Hadoop clusters
2012-2016
- Join forces at Noktamedya, owner of many large websites in Turkey
- Working on distributed storage, media delivery, video transcoding, big data analytics …
2017
- retinadata incorporation
- video proxies with service meshes using Consul
2018
- integrated image storage and processing systems using Nginx
- modernizing network video recorders on Linux
2019
- distributed image storage and processing solutions with Ceph
- container clouds for video applications using Kubernetes
2020
- video event processing pipelines on Kafka
- ready-to-use, batteries included and optimized object storage