Rapid scalability with elastic capacity to build robust streaming data pipelines and analyze millions of events at sub-second latencies
Cloud services work even without a continuous connection so you can extend database from the heart of your datacenter to the middle of anywhere. Flexible connectivity modes to work anywhere.
Want to learn More about Our Services? Click here
Hybrid architectures for stream processing with the ability to run the same queries in the cloud and on the edge
The significant difference is that data science involves pre-processing analysis, prediction, and visualization. AI is the implementation of a predictive model to foresee events. Data science is an umbrella term for statistical techniques, design techniques, and development methods.
The tools involved in Data Science are a lot more than the ones used in AI. This is because Data Science involves multiple steps for analyzing data and generating insights from it. Data Science is about finding hidden patterns in the data. AI is about imparting autonomy to the data model.
A data scientist will help grow an organization by assisting them in making better decisions.
Run complex analytics with no need to learn new processing frameworks or provision virtual machines (VMs) or clusters. Use familiar SQL language that is extensible with JavaScript and C# custom code for more advanced use cases. Easily enable scenarios like low-latency dashboarding, streaming ETL, and real-time alerting with one-click integration across sources and sinks.