Comparison of Top Data Warehouse Automation Tools to Maximize Your Data Efficiency

Data warehouse automation tools streamline the design, operation, and maintenance of data warehouses to boost efficiency and reduce manual errors. Based on thorough user feedback and expert analysis at BARC, we identify the best tools that promise improved speed and reliability. Learn how these tools can optimize your data storage and analysis processes. Check our report on Data Warehouse and Data Vault Adoption Trends for how companies use automation to enhance data warehouse efficiency. Subscribe to BARC+ for in-depth insights.

Number of reviews: 20
Customer Satisfaction
5.4/10
5.4
User Experience
4.0/10
4.0
Technical Foundation
4.4/10
4.4
Business Value
6.0/10
6.0

What is Qlik Data Integration

Tool suite with data management functions for connecting, preparing and providing data for analyses to support various data integration use case pattern.

– Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 19
Customer Satisfaction
8.7/10
8.7
User Experience
7.6/10
7.6
Technical Foundation
6.9/10
6.9
Business Value
9.1/10
9.1

What is TimeXtender

Data automation tool for building and operating data lakes or data warehouses with features for data pipelining, master data management, data quality, and orchestration.

– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
● Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 19
Customer Satisfaction
6.7/10
6.7
User Experience
6.0/10
6.0
Technical Foundation
5.0/10
5.0
Business Value
7.8/10
7.8

What is VaultSpeed

Low-/no-code data warehouse automation solution with focus on integration of distributed data sources, data vault modeling and ETL/DDL code generation.

– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 20
Customer Satisfaction
8.8/10
8.8
User Experience
7.3/10
7.3
Technical Foundation
6.1/10
6.1
Business Value
8.8/10
8.8

What is 2150 Datavault Builder

Tool for automating the entire development, provisioning and operating cycle of a data warehouse.

– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 19
Customer Satisfaction
9.0/10
9.0
User Experience
8.6/10
8.6
Technical Foundation
7.7/10
7.7
Business Value
9.4/10
9.4

What is AnalyticsCreator

Tool for automating the entire development, provisioning and operating cycle of a data warehouse.

– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 0

What is biGENIUS-X

Tool for automating the development, provisioning and operating cycle of data warehouses, data lakes and data lakehouses.

– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 21
Customer Satisfaction
4.6/10
4.6
User Experience
7.9/10
7.9
Technical Foundation
4.8/10
4.8
Business Value
5.7/10
5.7

What is Idera Wherescape

Data warehouse automation tool to support the development and operation of data warehouses, also supports cloud DWH such as Snowflake.

– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

Number of reviews: 20
Customer Satisfaction
3.8/10
3.8
User Experience
2.9/10
2.9
Technical Foundation
3.4/10
3.4
Business Value
4.8/10
4.8

What is SAP Datasphere

Cloud-based data platform for building a business data fabric that enables simple, standardized access to SAP data and integration with non-SAP data for both technical and business users.

● Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

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