Qlik Compose™ for Data Lakes

Your fastest way to analytics-ready data lakes

Automate analytics-ready data pipelines

Qlik Compose for Data Lakes (formerly Attunity Compose for Data Lakes) automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organizations realize faster time-to-value from their existing data lake investments.

Easy data structuring and transformation

An intuitive and guided user interface helps you build, model and execute data lake pipelines.

Automatically generate schemas and Hive Catalog structures for operational data stores (ODS) and historical data stores (HDS) without manual coding.

Easy data structuring and transformation

Continuous updates

Be confident that your ODS and HDS accurately represent your source systems.

Use change data capture (CDC) to enable real-time analytics with less administrative and processing overhead.
Efficiently process initial loading with parallel threading.
Leverage time-based partitioning with transactional consistency to ensure that only transactions completed within a specified time are processed.

Historical datastore

Derive analytics-specific data sets from a full historical data store (HDS).

New rows are automatically appended to HDS as data updates arrive from source systems.
New HDS records are automatically time-stamped, enabling the creation of trend analysis and other time-oriented analytic data marts.
Supports data models that include Type-2, slowing changing dimensions.

Get Live Views of data

Generate cost-effective low-latency views of data by:

Merging the latest unprocessed changes in the change table (including the last open partition), on Read.
Optimizing compute by creating “live views,” both ODS and HDS, without processing changes every time.