REDPOINT DATA INGESTION
Get Data Right From the Start
From the moment data enters your ecosystem, Redpoint puts you in control. Design, monitor and activate reliable data pipelines across any environment, without custom code or hidden processes.
120M profiles generated
across 200 data sources
1.2B rows from 25 sources
processed in real time
4000 source files
processed in 12 minutes
Ingestion at Speed and Scale
Automated data quality included.
Why Choose Redpoint for Data Ingestion?
Data ingestion is where data quality begins. If your pipelines lack visibility, issues with accuracy, compliance and usability are bound to follow. Redpoint ensures transparency and precision from the start. Our no-code platform makes it easy to ingest data from virtually any source, transform it to meet your needs and activate it across your ecosystem with confidence.
No-Code Setup with Flexible Connectivity
Integrate data from any source — including databases, NoSQL stores, message queues and legacy formats. Redpoint’s drag-and-drop interface supports everything from standard APIs to custom formats, no development required.
Ready for Activation
Redpoint automatically reconciles, cleanses and validates data on arrival. That means your teams can move faster, with trusted data flowing into marketing platforms, analytics tools and operational systems.
Secure Across All Environments
Deploy in public, private or hybrid clouds while meeting your organization’s privacy, governance and security requirements. Redpoint adapts to your infrastructure without limiting flexibility.
Data Ingestion Capabilities
No-Code Agility
Build and manage pipelines with a simple visual interface. Prebuilt connectors and tools streamline setup — no coding required.
High-Speed Pipelines
Ingest batch or streaming data from any source at any cadence, in real time, whether it’s structured, unstructured or from internal or external sources.
Built-In Data Observability
Get full transparency into your data’s health, quality, and lineage. Monitor pipelines, identify issues quickly and link data quality directly to business results.
See it in action
Take a tour to see how you can quickly and easily get your data ready for use across the enterprise.
Redpoint’s data intake solution enabled us to keep basically all our existing IT infrastructure 100 percent intact. That saved enormous time and capital expense.
Andrew Heltzel, Chief Commercial Officer, Xanterra Travel Collection
Data Ingestion Resources
Frequently Asked Questions
What is data ingestion?
Data ingestion is the process of bringing data about a customer from multiple systems into one platform to build a unified customer profile. Because an accurate, complete profile depends on compiling all relevant data and customer signals, data ingestion entails ingesting all forms of data – first-party, second-party, third-party, batch, streaming, social. All forms and types of data represent signals about a customer, and thus all forms and types should be collected.
What is the meaning of data ingestion?
Data ingestion begins the process of trying to understand a customer in the context of a customer journey. Developing a situational awareness of a customer requires that data ingestion be a continuous, real-time process from sources and systems that are themselves in real time. This mirrors the dynamic, real-time nature of customer journeys and allows brands to interact with relevance in the right cadence.
What is the framework for data ingestion?
A strategic approach to data ingestion will determine which sources and systems will connect to a platform that will serve as the single source of truth for the customer. A complete, accurate, and timely unified customer profile should include all relevant sources of information about a customer.
A complete and accurate profile depends on a data ingestion framework that includes a full range of pre-built functions that include standardization, error detection, and correction at the point of ingestion. Full data hygiene ensures that advanced identity resolution functions are completed on cleansed data.