About Dxplum
Dxplum is a robust data experience integration platform crafted for organizations seeking to harness the full power of their data. It transforms the way businesses collect, analyze, and activate insights by unifying data pipelines, dashboards, and analytics tools under one intelligent framework. Whether you're a data engineer, product manager, or marketing strategist, Dxplum helps you turn fragmented data into actionable intelligence.
The name Dxplum comes from the blend of “Data Experience” and the idea of harvesting ripe insights (“plum”) from raw information. It simplifies the most complex data architectures by streamlining ingestion from multiple sources—databases, SaaS apps, APIs, and cloud services—and transforming it into clear, visual reports and real-time analytics. This is particularly beneficial for companies running data operations across departments, locations, or tech stacks.
Dxplum is built with flexibility in mind. You can create custom data pipelines with no-code tools, apply business logic with reusable templates, and export insights to visualization tools like Tableau, Power BI, or Google Data Studio. Its machine learning-powered engine also offers predictive modeling capabilities, helping you spot trends, forecast outcomes, and make data-backed decisions.
Security and governance are built into the foundation, making Dxplum compliant with data regulations like GDPR, CCPA, and HIPAA. Role-based access, data masking, and end-to-end encryption ensure your insights are as secure as they are powerful.
How to connect
Connecting Dxplum to your existing systems is fast and modular. Whether you're building a simple report or a multi-source data warehouse, Dxplum provides pre-configured connectors and a guided setup process to help you get up and running quickly.
Supported Data Sources: Connects with MySQL, PostgreSQL, MongoDB, BigQuery, Salesforce, Shopify, Stripe, and many more.
Authentication: Uses OAuth2, API key management, and secure tunneling for on-premise data access.
No-Code Pipeline Builder: Design data flows using drag-and-drop modules for extraction, transformation, and loading (ETL).
AI Recommendations: Automatically detects data patterns and offers insights or alerts based on defined KPIs.
Data Governance: Tag, classify, and restrict access to datasets with advanced permissions and audit logs.
Scalability: Handles millions of rows per second with cloud-native scaling and support for real-time streaming.