Mozart Data Features

Management (6)

Reporting: Based on 17 Mozart Data reviews. View ETL process data via reports and visualizations like charts and graphs.
Auditing: Record ETL historical data for auditing and potential data correction needs. This feature was mentioned in 12 Mozart Data reviews.
Anomaly identification: Identify the different type of anomalies and receive alerts.
Single pane view: The data observability environment can be viewed from a single dashboard.
Data lineage: Establishes lineage for the data pipeline - from data warehouse to the data user.
Integrations: Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

Extraction: As reported in 19 Mozart Data reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files.
Transformation: Cleanse and re-format extracted data to the needed target format. 20 reviewers of Mozart Data have provided feedback on this feature.
Loading: Load reformatted data into target database, data warehouse, or other storage location. This feature was mentioned in 20 Mozart Data reviews.
Automation: As reported in 19 Mozart Data reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).
Scalability: Based on 17 Mozart Data reviews. Capable of scaling processing power up or down based on ETL volume.
Data quality monitoring: Use custom or pre-built tests for buisness rules. to ensure data quality.
Automation: Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.
End to End visiblity: Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

Data Integration: As reported in 28 Mozart Data reviews. Consolidates, Cleanses and Normalizes data from multiple disparate sources.
Data Compression: As reported in 20 Mozart Data reviews. Helps save storage capacity and improves query performance.
Data Quality: As reported in 27 Mozart Data reviews. Eliminates data inconsistency and duplications ensuring data integrity.
Built-In Data Analytics: Based on 25 Mozart Data reviews. SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.
In-Database Machine Learning: Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc. This feature was mentioned in 12 Mozart Data reviews.
Data Integration: Integrates data and data-related technologies into a single environment. This feature was mentioned in 16 Mozart Data reviews.
Metadata: Provides metadata management capabilities. This feature was mentioned in 14 Mozart Data reviews.
Self-service: Empowers the user via a self-service capability to manage data workflows. This feature was mentioned in 15 Mozart Data reviews.
Automated workflows: Completely automates end-to-end data workflows across the data integration lifecycle. This feature was mentioned in 15 Mozart Data reviews.

AI/ ML Integration: Based on 12 Mozart Data reviews. Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
BI Tool Integration: As reported in 27 Mozart Data reviews. Integrates with BI Tools to transform data into Actionable Insights.
Data lake Integration: Provides speed in data processing and capturing unstructured, semi-structured and streaming data. This feature was mentioned in 17 Mozart Data reviews.

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting