Nexla Features

Platform (7)

Building Reports (4)

Data Transformation: Converts data formats of source data into the format required for the reporting system without mistakes.
Data Modeling: Ability to (re)structure data in a manner that allows extracting insights fast and accurate.
WYSIWYG Report Design: Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)
Integration APIs: Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Configuration (5)

Application Performance: Functions when integrated with multiple forms of external applications.
Orchestration: Allows admisistrators to manage and organize storage, networks, and datacenters.
Database Monitoring: Monitors performance and statistics related to memory, caches and connections.
Anomaly Detection: Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue.
Network Security: Secures data at rest and in transit from unauthorized access.

Database Administration (3)

Availability (4)

Data (4)

Analytics (3)

Management (6)

Reporting: View ETL process data via reports and visualizations like charts and graphs. This feature was mentioned in 12 Nexla reviews.
Auditing: Record ETL historical data for auditing and potential data correction needs. 12 reviewers of Nexla have provided feedback on this feature.
Backup and Recovery: Offer backup and/or recovery options for data being migrated to the cloud.
Integration Variety: Integrates with a variety of sources and/or migration targets.
Access and Security: Maintain user access and security features associated with pre-migrated data in the post-migration environment.
Real time Monitoring: Real-time view and status of every component in the cloud environment.

Functionality (16)

Extraction: As reported in 13 Nexla reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files.
Transformation: Cleanse and re-format extracted data to the needed target format. This feature was mentioned in 13 Nexla reviews.
Loading: Load reformatted data into target database, data warehouse, or other storage location. 13 reviewers of Nexla have provided feedback on this feature.
Automation: As reported in 13 Nexla reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).
Scalability: Based on 13 Nexla reviews. Capable of scaling processing power up or down based on ETL volume.
Data Migration: Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.
Data Variety: Be compatible with a variety of data types for migration.
Alerts and Logging: Send alerts for migration failures, and log migration processes to show possible root causes for failures.
Data Replication: Copy and store the same data in multiple locations.
Debugging: Ensures live debugging to alert if any failure during data sync.
Workflow Automations: Supports the creation of automated workflows and data pipelines.
Notifications: Supports notifications in messaging applications such as Slack, and even in workflows.
API Integrations: Provides several pre-built connectors and API integrations to build data workflows.
Programmed trigger of data sync: Programmatic trigger of syncs via public APIs
Incremental data sync: Native support for incremental syncing
Data audit: Move sync logs back into warehouse for auditing

Security (9)

Data Protection: Transform or encode data before being moved to the cloud.
Data Masking: Data masking provides an additional layer of access control that can be applied to tables and views.
Authentication And Single Sign-On: Verifies identity of database users.
Data Anonymization: Allows users to gain statistically valid insights from their data while protecting the privacy of individuals.
Data Encryption: Employs data encryption both at rest and in transit.
Security Standards: Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.
Communication Protocol: Supports secure communication protocols like FTPS, SFTP etc
Security Compliance: Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.
Data Encryption: Ensures data encryption across multiple levels of the reverse ETL process.

Data Management (6)

Data Replication: Helps in improving the availability of data.
Advanced Data Analytics: Uses machine learning algorithms to gain actionable insights.
Data Integration: Integrates data and data-related technologies into a single environment.
Metadata: Provides metadata management capabilities.
Self-service: Empowers the user via a self-service capability to manage data workflows.
Automated workflows: Completely automates end-to-end data workflows across the data integration lifecycle.

Development (7)

Real-Time Integration: Supports event or transaction based integrations that react to changes in real-time
API Designer: Provides a web-based interface for designing, documenting, and testing APIs.
Flow Designer: Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.
Pre-Built Connectors: Facilitiates API development and integrations with prebuilt connectors, templates, and examples.
Custom Connectors: Provides the ability to create connectors from existing services and APIs in catalog.
Reusable connectors: Provides prebuilt, reusable connectors and workflows for all user integration requirements.
Multi - tenant architecture: Enables multiple tenants (customers) to securely share physical computing resources.

Management (5)

Monitoring & Notification: Console for monitoring resource utilization, system health, ability to start and stop processes, etc.
Routing And Orchestration: Enables data routing on configuration basis and management of complex workflows through an orchestration engine.
Data Mapping: Facilitates to and fro data map according to the data model between applications/web services.
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.
API Management: Supports and oversees the management of API products across their full lifecycle

Integration Options (4)

Deployment (2)

Monitoring and Management (2)

Cloud Deployment (2)

Data management (5)

Metadata Management: Indexes metadata descriptions for enhanced insights.
Automation Features: Ensures automation of metadata across the organization. Dynamically improves data management processes.
Collaboration: Embedded collaboration using APIs and in-app integrations.
Data Lineage: Provides insights into original data sources and transformations made to data sets from source to consumption of data.
Data Discovery: Provides an interface to collect and evaluate data to identfy patterns and outliers.