Lite |
premium |
|
|---|---|---|
| Real-time Data Extraction | ||
| Connectors for Structured Source/RDMBS | ||
| Log Data Source Connectors | ||
| Connectors of Social Data | ||
| Preview of the Source Data | ||
| Change Data Capture view (Insert/Update/Delete) | ||
| Data pipelines | upto 100 | 100+ |
| Persistent Data Store | ||
| Policy-based Data Retention | ||
| Analyse and view data Statistics (e.g. Null, sum, distinct, skewness) | ||
| Data Transformation | ||
| Workflow building | ||
| Data Lineage | ||
| Script window to write manual codes. | ||
| The ability for multiple users to collaborate on a single workflow. | ||
| Data Sharing | ||
| Data sharing across multiple members is possible. | limited | unlimited |
| Restrict access to roles. | ||
| Subscribe to data sets published by others. | ||
| Data can be pushed to any external database. | ||
| User access and role management | ||
| Capability to define access roles for a data exchange system | ||
| The ability to create an organisational hierarchy for the data asset approval process. | ||
| An administrator should be able to restrict and validate user access. | ||
| Data Marketplace | ||
| Users should be able to explore the features associated with data assets. | limited | |
| Users should be able to subscribe to data assets available in the marketplace. | limited | |
| All data published in the marketplace should be real-time. | ||
| Primary and Cloud Availability | ||
| Cloud-Data Exchange as a Service | ||
| On-premise licence | ||
| IZAC Bundle | ||
| Extended Data Warehouse | ||
| The ability to run arbitrarily complex SQL queries on historical data. | ||
| The ability to analyse real-time data along with historical data. | ||
| The ability to perform arbitrary data slices and dices | ||
| Capability to perform real-time data aggregations on large amounts of data | ||
| Analytics and Beyond | ||
| It should be able to query relational and non-relational data and perform basic iterative machine learning algorithms as well as other arbitrary computations. | ||
| It is capable of supporting algorithms for optimization problems and projections. | ||
| It should be able to query relational and non-relational data in order to use iterative machine learning algorithms and perform other arbitrary computations. | ||
| It should be able to query relational and non-relational data for employing iterative machine learning algorithms and other arbitrary computations | ||
| Self-Service Data Exploration-Visualization and Dashboarding. |
- Fast Worldwide Delivery
