Cinchy Features
What are the features of Cinchy?
Data Management
- Data Integration
- Data Discovery
Security
- Governance
- Data Protection
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Cinchy Categories on G2
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Data Integration
1st-Party Data Integration | Integration with ad servers, DSPs, and SSPs, and other data sources for in- and out-bound data transfer. | Not enough data | |
2nd-Party Data Integration | Allows user to combine first party data collected with additional first party data of strategic partners. | Not enough data | |
3rd-Party Data Integration | Breadth of standard integrations to third-party data providers. | Not enough data | |
Offline Data Integration | Able to easily integrate data from offline sources. | Not enough data | |
Mobile Data Integration | Able to easily integrate mobile data within the DMP platform. | Not enough data | |
Data Export Tools | Able to extract data from the DMP in bulk through a structured file. | Not enough data |
Data Analysis & Optimization
Audience Segmentation | Ease of segmenting user profiles into groups. | Not enough data | |
Recommendations | Analyzes data to find and recommend the highest value customer segmentations. | Not enough data | |
Standard Dashboards | Provides pre-built dashboards to aggregate and display data. | Not enough data | |
Custom Reports | Allows users to easily build customized reports and dashboards. | Not enough data |
Platform
Data Permissions | Able to set data permissions for strategic partners. | Not enough data | |
User, Role, and Access Management | See feature definition | Grant access to select data, features, objects, etc. based on the users, user role, groups, etc. | Not enough data |
Performance and Reliability | Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond. | Not enough data | |
Enterprise Scalability | Provides features to allow scaling for large organizations. | Not enough data | |
Internationalization | Enables users to use the DMP in multiple languages. | Not enough data |
Management
Reporting | View ETL process data via reports and visualizations like charts and graphs. | Not enough data | |
Auditing | Record ETL historical data for auditing and potential data correction needs. | Not enough data |
Functionality
Extraction | Extract data from the designated source(s) like relational databases, JSON files, and XML files. | Not enough data | |
Transformation | Cleanse and re-format extracted data to the needed target format. | Not enough data | |
Loading | Load reformatted data into target database, data warehouse, or other storage location. | Not enough data | |
Automation | Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). | Not enough data | |
Scalability | Capable of scaling processing power up or down based on ETL volume. | Not enough data |
Data Sourcing
Data Enrichment | Uses external data sources to improve customer profiles. | Not enough data | |
Expandability | Can be updated to accept new sources and types of data. | Not enough data | |
Content Marketing | Can act as a content marketing platform. | Not enough data | |
Multiple Devices | Can engage with customers across any device with a consistent message. | Not enough data |
Intelligence
Marketing Metrics | Provides analysis of marketing program ROI and efficiency. | Not enough data | |
Predictive Modeling | Predicts outcomes based on statistical models; can give insight to "what-if" scenarios. | Not enough data | |
Recommendation Engine | Uses artificial intelligence to provide suggestions based on desired outcomes. | Not enough data |
Data Management
Data Integration | Based on 13 Cinchy reviews. Consolidate data from various disparate sources in a single unified view | 99% (Based on 13 reviews) | |
Data Discovery | As reported in 12 Cinchy reviews. Understand the state of data, applications, systems and services | 93% (Based on 12 reviews) | |
Multi - Platform | Manage data across environments (on-premises cloud, hybrid, and multi-cloud) | Not enough data | |
Metadata | Provides metadata management and lineage capabilities | Not enough data | |
Data Integration | Integrates data and data-related technologies into a single environment. | Not enough data | |
Metadata | Provides metadata management capabilities. | Not enough data | |
Self-service | Empowers the user via a self-service capability to manage data workflows. | Not enough data | |
Automated workflows | Completely automates end-to-end data workflows across the data integration lifecycle. | Not enough data |
Analytics
Data Analytics | Supports advanced analytics solutions for better business decision making | Not enough data | |
Analytics capabilities | Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making. | Not enough data | |
Dasboard visualizations | Collect and displays metrics across the data integration via a dashboard. | Not enough data |
Security
Compliance | Rules and regulations inherited from source systems or defined to secure sensitive data | Not enough data | |
Governance | As reported in 10 Cinchy reviews. Grant or restrict data access and control | 98% (Based on 10 reviews) | |
Data Protection | As reported in 10 Cinchy reviews. Built - In Backup and Disaster Recovery | 100% (Based on 10 reviews) | |
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 |
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 |
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 |
Monitoring and Management
Data Observability | Involved solely in monitoring data pipelines, sending alerts and troubleshooting data. | Not enough data | |
Testing capabilities | Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing. | Not enough data |
Cloud Deployment
Hybrid cloud support | Supports analytical platforms and data pipelines across complex hybrid environments. | Not enough data | |
Cloud migration capabilities | Supports migration of component or pipeline to different cloud environments. | Not enough data |
