Nexla Features
Platform (7)
Mobile User Support
Customization
User, Role, and Access Management
Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.
Internationalization
Sandbox / Test Environments
Performance and Reliability
Breadth of Partner Applications
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)
Provisioning
Allows administrators to organize components of the database to maintain instance efficiency.
Governance
Allows the creating and relinquishing of database access credentials.
Auditing
Documents access and alterations of the database for analytics and reporting.
Availability (4)
Scalability
Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.
Backup
The abillity to restore files to its original loacation or alternative sources on-demand.
Archiving
Stores historical records of information for reverting or reference.
Indexing
Helps users navigate databases by labeling and organizing datasets.
Data (4)
Data Processing
The ability to process large amounts of data.
Data Sources
The ability to process data from a wide variety of sources and formats.
Integration
The ability to work seamlessly with another software platform.
Real-Time Processing
Processing data from a variety of sources in real time as it arrives.
Analytics (3)
Reporting & Analytics
Tools to visualize and analyze data.
Analytics capabilities
Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.
Dasboard visualizations
Collect and displays metrics across the data integration via a dashboard.
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)
Data Virtualization
Integrates data from disparate sources, without physical data movement
Managed File Transfers
Provides one or more methods to securely transfer data from one location to another through a network
Big Data Processing
Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)
EDI
Provides Integrations to EDI service providers.
Deployment (2)
Hybrid
Supports deployment of integration apps both on-premisis and cloud environments/
Cloud to Cloud
Supports deployment of integration apps to a managed cloud environment
Monitoring and Management (2)
Data Observability
Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.
Testing capabilities
Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.
Cloud Deployment (2)
Hybrid cloud support
Supports analytical platforms and data pipelines across complex hybrid environments.
Cloud migration capabilities
Supports migration of component or pipeline to different cloud environments.
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.
Reporting (3)
Intelligent Insights
Constantly processes metadata to provide intelligent insights.
Actionable Insights
Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.
Dashboards
Supports 360 degree data visibility via a single dashboard.
Data Management (5)
Data Modeling
Supports the creation of SQL models to query any data warehouse.
Auditing
Detailed logging for auditing needs.
Observability
Real-time visibility into the reverse ETL process.
Data mapping
Configures data mapping from data warehouse to target tools.
Reporting
View the reverse ETL data via reports and charts through data viz and sync progress.
Generative AI (5)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
Agentic AI - Cloud Migration (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - DataOps Platforms (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives


