What is Qualytics Compare?

Qualytics Compare ensures consistency between two data stores. Utilizing enhanced profiling data, Compare highlights not just schema differences, but underlying data quality problems within two equivalent data stores.

Typically used for data migration efforts along with QA and Business Continuity efforts, Compare replaces your manual QA efforts for data equivalence.

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How does it work?

STEP 1

Connect to Source and Target

Compare starts with connecting to your source and target data stores. Using JDBC or distributed file systems, Compare establishes a persistent connection to the two.

STEP 2

Profile

Using proprietary algorithms, Compare infers rich metadata through its deep profiling operation of the source and target data stores.

STEP 3

Compare

The deep profile metadata enables Compare to evaluate, regardless of schema differences, the equivalency of the two data stores. The comparison results include data quality fundamentals such as completeness, conformity, consistency, accuracy and redundancy.

STEP 4

Rinse, Repeat and Track

Encapsulated within projects, Compare enables users to keep track of separate comparison runs, visualizing burndown charts that include passing, missing or failing tables over time.

How do we qualify your data?

The Qualytics 8

Qualytics uses these 8 fundamental categories to assess data quality.

Completeness
required fields are fully populated
Coverage
availability and uniqueness of expected records
Conformity
Alignment of the content to the required standards, schemas, and formats
Consistency
the value is the same across all datastores within the organization
Precision
your data is the resolution that is expected - How tightly can you define your data?
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Timeliness
data is available when expected
Volumetrics
data has the same size and shape across similar cycles
Accuracy
your data represents the real-world values they are expected to model
Data Confidence Demo

Are you ready to embrace
data confidence?

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