Features
Packed With Features
Self Service
Data Governance
DataMeshX provides fine-grain permissions and control on the tables generated by the DataMeshX ingestion platform. A set of tables or databases’ access can be provided to a certain number of users and groups.
Data Ingestion
DataMeshX supports self-service data ingestion with just a few clicks to define your source and destination. It automatically creates folder hierarchy, target schema in data lake and naming convention based on meta data.
Self Service Access Control
With DataMeshx business user can define their data access policies, data governance policies and manage fine grain permissions across the organization.
Data Discovery
Discover your organizational data through DataMeshx user friendly interface that gives you a birds eye view of your mission critical data coming from all the source system.
Automation
Data Ingestion
DataMeshX uses Apache Airflow for the scheduling, orchestration and monitoring of data. Databricks for the data processing based on user-defined metadata and mapping from the UI.
Orchestration & Schedulling
DataMeshx gives you self service orchestration and scheduling of your data pipelines.
Data Lake
Allows you to automatically provision your infrastructure such as data lake and create folder structure using best practice and user defined configurations so that your data resides in a secure and well defined structure.
Data Warehouse
The ingestion platform on DataMeshX is entirely automated, via a few clicks on the DataMeshX UI user can define new sources and define data ingestions w.r.t. their use. But what if they want to schedule and orchestrate their own custom code or stored procedures, DataMeshX also has the capability to do that.
One Stop Platform
Data Discovery
Discover your organizational data through DataMeshx user friendly interface that gives you a birds eye view of your mission critical data coming from all the source system.
Lineage
Graphically representation of origin and destination and steps involved to reach the destination. Drill down is also available at each step to give more insight to your data.
Automation
With DataMeshx you can run automatically pipelines using state of the art technology and best practices.
Self Service
DataMeshX uses Airflow for orchestration & monitoring with the help of the metadata-driven framework. Airflow is recommended because of its functionality like dynamic DAGs (Directed Acyclic Graph) and support of complex relationship and dependency management capability.
100+ Connectors
Transform
DataMeshX can provide you with two possible solutions for custom transformations; custom spark code and dbt
Debugging Autonomy
Modify and debug pipelines as you see fit, without waiting. Get error insight rapidpy
Optional Normalized Schemas
Entirely customizable, start with raw data or from some suggestion of normalized data.
Built for Extensibility
Adapt an existing connector to your needs or build a new one with ease.
Extract & Load
The methodology of extracting and loads i.e collect all data from multiple sources and loading them into a single data hub.
Incremental Updates
Automated replications are based on incremental updates to reduce your data transfer costs.
Manual Refresh
Enables you to go from data to insight to action quickly, Sometimes, you need to re-sync all your data to start again.
Full-Grade Scheduler
Datameshx allows to Automate your replications with the frequency you need.
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