Designer Cloud Features
What are the features of Designer Cloud?
Data Source Access
- Breadth of Data Sources
- Ease of Data Connectivity
- API Connectivity
Data Interaction
- Profiling and Classification
- Metadata Management
- Data Modeling
- Data Joining
- Data Blending
- Data Quality and Cleansing
- Data Sharing
- Data Governance
Data Exporting
- Breadth of Integrations
- Ease of Integrations
- Data Workflows
Functionality
- Scalability
Top Rated Designer Cloud Alternatives
Designer Cloud Categories on G2
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Data Source Access
Breadth of Data Sources | As reported in 103 Designer Cloud reviews. Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others | 80% (Based on 103 reviews) | |
Ease of Data Connectivity | Allows businesses to easily connect to any data source 105 reviewers of Designer Cloud have provided feedback on this feature. | 83% (Based on 105 reviews) | |
API Connectivity | Offers API connections for cloud-based applications and data sources 78 reviewers of Designer Cloud have provided feedback on this feature. | 78% (Based on 78 reviews) |
Data Interaction
Profiling and Classification | As reported in 89 Designer Cloud reviews. Permits profiling of data sets for increased organization, both by users and machine learning | 84% (Based on 89 reviews) | |
Metadata Management | Indexes metadata descriptions for easier searching and enhanced insights 79 reviewers of Designer Cloud have provided feedback on this feature. | 80% (Based on 79 reviews) | |
Data Modeling | As reported in 96 Designer Cloud reviews. Tools to (re)structure data in a manner that enables quick and accurate insight extraction | 84% (Based on 96 reviews) | |
Data Joining | Allows self-service joining of tables 105 reviewers of Designer Cloud have provided feedback on this feature. | 88% (Based on 105 reviews) | |
Data Blending | Provides the ability to combine data sources into one data set 103 reviewers of Designer Cloud have provided feedback on this feature. | 89% (Based on 103 reviews) | |
Data Quality and Cleansing | Based on 108 Designer Cloud reviews. Allows users and administrators to easily clean data to maintain quality and integrity | 90% (Based on 108 reviews) | |
Data Sharing | Based on 89 Designer Cloud reviews. Offers collaborative functionality for sharing queries and data sets | 80% (Based on 89 reviews) | |
Data Governance | Ensures user access management, data lineage, and data encryption 76 reviewers of Designer Cloud have provided feedback on this feature. | 83% (Based on 76 reviews) |
Data Exporting
Breadth of Integrations | Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools This feature was mentioned in 95 Designer Cloud reviews. | 79% (Based on 95 reviews) | |
Ease of Integrations | As reported in 97 Designer Cloud reviews. Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools | 83% (Based on 97 reviews) | |
Data Workflows | Operationalizes data workflows to easily scale repeatable preparation needs This feature was mentioned in 108 Designer Cloud reviews. | 86% (Based on 108 reviews) |
Management
Reporting | View ETL process data via reports and visualizations like charts and graphs. This feature was mentioned in 21 Designer Cloud reviews. | 86% (Based on 21 reviews) | |
Auditing | Record ETL historical data for auditing and potential data correction needs. This feature was mentioned in 20 Designer Cloud reviews. | 80% (Based on 20 reviews) | |
Reporting | Provide follow-up information after data cleanings through a visual dashboard or reports. This feature was mentioned in 18 Designer Cloud reviews. | 84% (Based on 18 reviews) | |
Automation | Based on 17 Designer Cloud reviews. Automatically run data identification, correction, and normalization on data sources. | 92% (Based on 17 reviews) | |
Quality Audits | Schedule automated audits to identify data anomalies over time based on set business rules. This feature was mentioned in 16 Designer Cloud reviews. | 84% (Based on 16 reviews) | |
Dashboard | Gives a view of the entire data quality management ecosystem. This feature was mentioned in 17 Designer Cloud reviews. | 86% (Based on 17 reviews) | |
Governance | Allows user role-based access and actions to authorization for specific tasks. This feature was mentioned in 16 Designer Cloud reviews. | 89% (Based on 16 reviews) |
Functionality
Extraction | Extract data from the designated source(s) like relational databases, JSON files, and XML files. 23 reviewers of Designer Cloud have provided feedback on this feature. | 84% (Based on 23 reviews) | |
Transformation | As reported in 23 Designer Cloud reviews. Cleanse and re-format extracted data to the needed target format. | 91% (Based on 23 reviews) | |
Loading | Based on 22 Designer Cloud reviews. Load reformatted data into target database, data warehouse, or other storage location. | 83% (Based on 22 reviews) | |
Automation | Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). 23 reviewers of Designer Cloud have provided feedback on this feature. | 89% (Based on 23 reviews) | |
Scalability | Based on 23 Designer Cloud reviews. Capable of scaling processing power up or down based on ETL volume. | 87% (Based on 23 reviews) | |
Identification | Correctly identify inaccurate, incomplete, or duplicated data from a data source. This feature was mentioned in 18 Designer Cloud reviews. | 88% (Based on 18 reviews) | |
Correction | Based on 18 Designer Cloud reviews. Utilize deletion, modification, appending, merging, or other methods to correct bad data. | 85% (Based on 18 reviews) | |
Normalization | Standardize data formatting for uniformity and easier data usage. This feature was mentioned in 18 Designer Cloud reviews. | 87% (Based on 18 reviews) | |
Preventative Cleaning | Clean data as it enters the data source to prevent mixing bad data with cleaned data. This feature was mentioned in 16 Designer Cloud reviews. | 85% (Based on 16 reviews) | |
Data Matching | Finds duplicates using the fuzzy logic technology or an advance search feature. This feature was mentioned in 18 Designer Cloud reviews. | 83% (Based on 18 reviews) |
Development
Real-Time Integration | Supports event or transaction based integrations that react to changes in real-time | Not enough data | |
API Designer | Provides a web-based interface for designing, documenting, and testing APIs. | Not enough data | |
Flow Designer | Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface. | Not enough data | |
Pre-Built Connectors | Facilitiates API development and integrations with prebuilt connectors, templates, and examples. | Not enough data | |
Custom Connectors | Provides the ability to create connectors from existing services and APIs in catalog. | Not enough data | |
Reusable connectors | Provides prebuilt, reusable connectors and workflows for all user integration requirements. | Not enough data | |
Multi - tenant architecture | Enables multiple tenants (customers) to securely share physical computing resources. | Not enough data |
Management
Monitoring & Notification | Console for monitoring resource utilization, system health, ability to start and stop processes, etc. | Not enough data | |
Routing And Orchestration | Enables data routing on configuration basis and management of complex workflows through an orchestration engine. | Not enough data | |
Data Mapping | Facilitates to and fro data map according to the data model between applications/web services. | Not enough data | |
Data Transformation | Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system. | Not enough data | |
API Management | Supports and oversees the management of API products across their full lifecycle | Not enough data |
Security
Data Encryption | Employs data encryption both at rest and in transit. | Not enough data | |
Security Standards | Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data. | Not enough data | |
Communication Protocol | Supports secure communication protocols like FTPS, SFTP etc | Not enough data |
Integration Options
Data Virtualization | Integrates data from disparate sources, without physical data movement | Not enough data | |
Managed File Transfers | Provides one or more methods to securely transfer data from one location to another through a network | Not enough data | |
Big Data Processing | Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase) | Not enough data | |
EDI | Provides Integrations to EDI service providers. | Not enough data |
Deployment
Hybrid | Supports deployment of integration apps both on-premisis and cloud environments/ | Not enough data | |
Cloud to Cloud | Supports deployment of integration apps to a managed cloud environment | Not enough data |
