Unified Data Operations
Limitless scalability
for people and processes
Solving Data Heterogeneity
More data sources means more data heterogeneity. Nexla learns your schema, tracks its evolution, monitors changes to data characteristics and manages data flows regardless of format or type of source.
Scaling Data Teams
Scale data teams by empowering them with low/no-code automated workflows without waiting for data engineering teams for every single request. For experts, Nexla also offers full set of APIs and SDK for fine-grain control.
Deliver Reliable Operations
Nexla platform's capability for continuous data validation, error management, automated monitoring and notifications, and built-in retry mechanisms deliver the operational reliability needed by teams running critical data.
Data Integration
As a single platform for all your ETL, ELT, Data API, API Integration, or Data as a Service workflow, this is a no/low-code way to quickly integrate any data in any format from anywhere.
Universal Connectors
An adaptive integration engine for both sources and destinations means you don’t need to create new connectors every time you add a new data source. Our standard connectors have been proven for hundreds of APIs and file-based sources.
Data Transformation
Nexla automatically scans sources and creates Nexsets when data is ingested. Using these Nexsets, you can combine, prepare, filter, enrich, and validate your data in a no-code way. This prepared, ready-to-use data can then be easily delivered to your destination without ever needing to code at all.
Data Monitoring
Monitor your data pipelines continuously and provide consistent, high-quality data for your business. Nexla learns your data characteristics and validations and automatically applies smart validations. When there are errors in the process, quantity, or quality of data, you will get automated alerts and error handling.
No-Code Simplicity
Nexla empowers you to self-serve your data needs by using no-code workflows. You can create integrate, prepare, validate, and enrich your data and then provision to any data-consuming app without ever writing any code.
Low-Code Extensibility
When you need to bring your own custom code, you can use the built-in low-code tools. It takes just a few lines of Python or Javascript to add new functions to your Nexla account and make it available to your team.
Promote Team Collaboration
Nexla is designed with a collaboration-first mindset. Increase collaboration by sharing source or destination credentials, data in the form of Nexsets, and data flows with your team. Collaborative tools and Nexsets provide your organization the enterprise collaboration environment that makes data integration, preparation, and monitoring easy.
Data as a Product
Nexla helps organizations implement data mesh architecture by providing full support for the concept of data as a product. You can share data with anyone inside and outside your organization and reuse it over and over again. You can provision these data products to any data systems, operational systems, or analytical tools.
Automated Data Flows
Auto-generated Nexsets, schema detection, and sharable transforms make it easy to set up automate data flows. Once you’re set up, Nexla automatically scales and updates with new data.
Error Management & Quarantine
When errors occur, the automatic tracking system gives you full control over handling them. Easily trace back errors and fix them without disrupting your operations.
Continuous Metadata Intelligence
Nexla automatically recognizes data that you are working with and applies continuous metadata intelligence. This metadata intelligence is captured in Nexsets which then simplify data integration, preparation, and monitoring.
Built for the Enterprise
Nexla is a SaaS offering but is also available for deployment in your on-premise data center or VPC with full support for AWS, GCP, and Azure. Enterprise features like single sign-on, automated versioning, complete audit trails, and record-level data lineage give you the operational control and visibility you need to run your critical data operations.
Transform into a Modern Data Stack
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