Combine data from different sources into a single repository, eliminate data silos.
Combine diverse data sources into a single repository, eliminating data silos. Enhances accessibility and allows for improved analytics, facilitating data-driven decision-making.
We’ve listed the products and solutions that commonly address the Data Consolidation use case below.
Denodo offers a data virtualization and data integration platform.
Talend offers a unified suite of apps to collect, govern, transform, and share data.
Palantir Foundry is a platform that removes the barriers between back-end data management and front-end data analysis.
Pentaho is a comprehensive platform for data integration and business analytics.
Qlik is a data integration and data analytics platform.
AWS Glue is a managed ETL service from Amazon that organizes, cleans, and loads data from various sources.
Google Cloud Data Fusion is a fully managed data integration platform enabling data ingestion, ETL, and real-time capabilities.
Hevo is a zero-maintenance data pipeline platform automating data sync from various sources to warehouses, simplifying analytics for data teams.
Meltano is an open-source platform for orchestrating ELT pipelines, enabling data teams to fetch, send, and transform data effortlessly.
Fivetran is a fully-managed, zero-maintenance cloud-based data pipeline.
Informatica offers a cloud-based data integration solution providing automated capabilities for ETL, ELT and replication.
Azure Data Factory is a data integration service that helps in constructing ETL/ELT processes.
SnapLogic is an intelligent integration platform with a visual interface for integrating apps and data.
Matillion is a cloud-native platform for data integration, transformation, and quality.
StreamSets by Software AG is an end-to-end data integration platform designed for dataOps.
Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.
| Feature | Dimensions | Description | Priority |
|---|---|---|---|
| Cloud Deployment |
|
The platform can be deployed on the cloud. | Critical |
| Data Encryption |
|
Protects data confidentiality by converting it to encoded form. | Critical |
| Data Synchronization |
|
Ability to synchronize data conflicts that could emerge due to replication of data across distributed devices. | Critical |
| Master Data Management (MDM) |
|
It natively provides the ability to create a centralized repository of master data that serves as the authoritative source for all related data elements, or it can integrate with third-party MDM tools. | Critical |
| Role Based Access Control (RBAC) |
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Authorizes and restricts access to specific functions based on the user's role within the organization. | Critical |
| Common Metadata |
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It can seamlessly share and sync metadata repositories. | Important |
| Data Cataloging |
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It can natively provide an inventory of data assets in the organization or integrate with other data cataloging tools. | Important |
| Data Quality Monitoring |
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Support is available for tracking, measuring, and improving the quality of data. | Important |
| Schema Evolution |
|
Manages schema changes in data sources, ensuring seamless integration and adaptability to evolving data structures. | Important |
| Workflow Management |
|
Support is available for workflow management of the data integration development process. | Important |
| Graphical Interface |
|
Support is available for the graphical representation of data models and data flows. | Nice To Have |
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