|
The
following table summarizes and ranks the features associated with
EIQ Server and other data integration, sharing, and
interoperability approaches.
1, 2 and 3 = rank in
matching feature; 1 is best, 3 is worst.
|
Feature |
EIQ Server |
Federated Database |
Data
Warehouse |
Enterprise Search |
|
Structured database queries |
1 |
1 |
1 |
No |
|
Unstructured text searches |
2 |
No |
Unusual |
1 |
|
Fast
query responses |
2 |
2 |
1 |
1 |
|
Data
stays at source |
2 |
1 |
No |
2c |
|
Near
real-time index updates |
2 |
1 |
Unusual |
Unusual |
|
Non-intrusive system changes |
2 |
1 |
2 |
1 |
|
Low
impact on data source |
1 |
3 |
1 |
1 |
|
ALL data
sources – structured, unstructured, and semi-structured |
1 |
No |
No |
2 |
|
Very
large data sets |
2 |
3 |
1 |
1 |
|
Merge
results |
1 |
2 |
1 |
N/A |
|
Original
schemas |
1 |
1 |
No |
N/A |
|
Complex
queries |
2 |
2g |
2g |
2f |
|
Ad hoc
queries |
1 |
3g |
3g |
1 |
|
Range
queries |
1 |
3g |
2g |
N/A |
|
No data
processing |
2 |
1 |
3 |
2 |
|
Familiarity of approach |
3 |
1 |
1 |
2 |
|
Applications do not know about data sources |
1 |
2 |
1 |
No |
|
Do not
need exact queries |
1 |
2 |
Need |
1 |
|
Drill-down to source data level |
1 |
1 |
Unusual |
1 |
|
No
additional storage |
2 |
1 |
Significant storage |
2 |
|
High-level aggregations |
(2) |
3 |
1 |
N/A |
|
Use data
from one source to find data in another |
1 |
No |
N/A |
Unusual |
|
Data
mining |
2 |
No |
1 |
N/A |
Note:
(i)
EIQ Server scores mainly 1’s and some 2’s for all features
except familiarity, as EIQ Server is non-conventional
(ii)
EIQ Server really differentiates itself when considering
ALL data sources: structured, unstructured and semi-structured,
fast query response, non-intrusive, low impact, local access
control, and ALL data sources not only database and not only
unstructured documents
(iii)
EIQ Server is the best combination of features
|