Peliqan Features

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data.

Extract data from the designated source(s) like relational databases, JSON files, and XML files. This feature was mentioned in 14 Peliqan reviews.

Based on 14 Peliqan reviews. Cleanse and re-format extracted data to the needed target format.

As reported in 12 Peliqan reviews. Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). 14 reviewers of Peliqan have provided feedback on this feature.

Capable of scaling processing power up or down based on ETL volume. This feature was mentioned in 14 Peliqan reviews.

Ensures live debugging to alert if any failure during data sync. This feature was mentioned in 12 Peliqan reviews.

Supports the creation of automated workflows and data pipelines. This feature was mentioned in 12 Peliqan reviews.

As reported in 12 Peliqan reviews. Supports notifications in messaging applications such as Slack, and even in workflows.

As reported in 12 Peliqan reviews. Provides several pre-built connectors and API integrations to build data workflows.

Programmatic trigger of syncs via public APIs 13 reviewers of Peliqan have provided feedback on this feature.

Native support for incremental syncing This feature was mentioned in 13 Peliqan reviews.

Based on 13 Peliqan reviews. Move sync logs back into warehouse for auditing

Based on 15 Peliqan reviews. View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs. This feature was mentioned in 14 Peliqan reviews.

Allow users to select the data's source(s) and destination(s) for the exchange process.

Integrate with other data-oriented solutions.

Generate reports, dashboards, and graphics around data exchange KPIs and stats.

Provide data governance strategies or capabilities for exchanged and acquired data.

Captures and manages data hierarchy and definitions.

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Helps understand the origination and route of data along with the transformations happening across various domains.

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

Allows users to manage third party application integration

Provides a fully white labelled solution

Provides users with intelligent workflow automation capabilities

Self-service enables a software provider’s customers to easily activate packaged integrations.

Monitoring features, including instrumentation and observability, enable the product team and operations teams to centrally manage all customer integrations.

Notification and alerts are included that empower development teams to manage and push out updates to integrations to across their customer base.

Uses external data sources to improve customer profiles.

Can be updated to accept new sources and types of data.

Can act as a content marketing platform.

Can engage with customers across any device with a consistent message.

Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Uses artificial intelligence to provide suggestions based on desired outcomes.

Transmit data without altering the data’s inherent meaning.

Normalize transmitted data for easier consumption by the receiving system.

Facilitate market data-as-a-service acquisition.

Facilitate industry data-as-a-service acquisition.

Facilitate consumption source (e.g., web, mobile, IoT) data-as-a-service acquisition.

Facilitate targeted subject matter data-as-a-service acquisition.

Supports event or transaction based integrations that react to changes in real-time

Provides a web-based interface for designing, documenting, and testing APIs.

Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Provides prebuilt, reusable connectors and workflows for all user integration requirements.

Enables multiple tenants (customers) to securely share physical computing resources.

Console for monitoring resource utilization, system health, ability to start and stop processes, etc.

Enables data routing on configuration basis and management of complex workflows through an orchestration engine.

Facilitates to and fro data map according to the data model between applications/web services.

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.

Supports and oversees the management of API products across their full lifecycle

Employs data encryption both at rest and in transit.

Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.

Supports secure communication protocols like FTPS, SFTP etc

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Helps mask or hide critical information to prevent unauthorized access.

Ability for users to offload authentication integration

Compliant with GDPR, HIPPA, and other necessary regulations

Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process. 12 reviewers of Peliqan have provided feedback on this feature.

Based on 12 Peliqan reviews. Ensures data encryption across multiple levels of the reverse ETL process.

Integrates data from disparate sources, without physical data movement

Provides one or more methods to securely transfer data from one location to another through a network

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

Provides Integrations to EDI service providers.

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Matches master data records and merges them into a single accurate record across source systems.

Shows relationships between records and entries, defined in a repository model.

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Supports deployment of integration apps both on-premisis and cloud environments/

Supports deployment of integration apps to a managed cloud environment

Integrates data and data-related technologies into a single environment.

Provides metadata management capabilities.

Empowers the user via a self-service capability to manage data workflows.

Completely automates end-to-end data workflows across the data integration lifecycle.

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Collect and displays metrics across the data integration via a dashboard.

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments.

Scales to adapt to rising data volume

Provides users with self-service, low-code/no-code development options

Allows users to build and deploy custom integrations for customer-facing applications

As reported in 12 Peliqan reviews. Supports the creation of SQL models to query any data warehouse.

As reported in 12 Peliqan reviews. Detailed logging for auditing needs.

Based on 12 Peliqan reviews. Real-time visibility into the reverse ETL process.

Configures data mapping from data warehouse to target tools. This feature was mentioned in 12 Peliqan reviews.

View the reverse ETL data via reports and charts through data viz and sync progress. This feature was mentioned in 12 Peliqan reviews.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organizations have the ability to integrate applications with third party and/or customer facing applications.

Elastic processing capabilities enable software providers to meet customer integration processing demand.

Platform provides users with prebuilt application connectors and integration workflow automations.

Connectivity APIs can be enabled to allow development teams to directly integrate with applications, databases, and services.

Allows users to generate text based on a text prompt. 11 reviewers of Peliqan have provided feedback on this feature.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives