| Features of Big Data | Features of Conventional Data |
| Big Data―efficient Government | Conventional e-government |
| Video, audio and graph analytics | Text based analytics |
| Huge and messy data | Tera-bytes of data |
| Operation is conditional and relational | Analysis is based on machine learning, sentimental, behavioral and predictive |
| Discovery of unexplored business questions | Statistical analytics with known condition |
| Semi-structured, raw and unstructured data | Structured data |
| Real time analysis of data using supportive software | Batch oriented |
| Interactive, decision making, low latency, visualization and analytics report | High latency due to huge volume of data, ad-hoc query report |
| Difficult to establish connection between information formally. RFID, Mobile data, videos, graphics and images need to be factored in Big Data analytics | Based on relational data model and analytics is based on known relationship |