Simplify and Speed Data Ingestion and Transformation

Better Data, Better Business Decisions

Better data, delivered faster, leads to better business decisions. However, data’s potential is tempered by the challenge of its ingestion and transformation. Ingesting data-in-motion emitted by web, sensors, machines, server logs, click streams, and smart devices in an agile and continuous manner, without any data loss, is a monumental hurdle for businesses to overcome.

With the DataTorrent Ingestion and Transformation Solution, businesses can ingest, dedup, filter, transform, and persist high volume, multi-source moving data streams with ease and without any data corruption or data loss. Powered by the open-source Apache Apex engine, the DataTorrent Ingestion Solution is a fast, scalable, fault- tolerant, in-memory solution designed to meet today’s data demands in real time. With it, you have a production-ready, code-free solution to better meet SLAs and customer needs. Our solution allows you to rapidly develop and configure data pipelines as well as to deliver data to a variety of data stores, including HDFS, Hive, Cassandra, MongoDB, relational databases and more with ease. The DataTorrent Ingestion and Transformation Solution ensures that all business-critical data arrives on time and that you’re able to use it to drive key insights.

  • Ingest data from a broad spectrum of data sources, including messaging systems (Kafka, Flume), HDFS, web/app servers, file systems, and relational databases
  • Deliver analytics-ready data instantly and easily to a variety of data sinks, such as HDFS, Hive, MongoDB, Cassandra, and relational databases
  • Speed application development cycle with pre-built data pipelines – HDFS to HDFS, Kafka to HDFS, Amazon S3 to HDFS and intuitive drag-and-drop user interface
  • Self-service role-based accessibility for a broad set of developers, including Data Engineers and Java Developers, for fast and secure application development
  • Closely monitor data pipelines and application performance with web-based management and monitoring interface

The DataTorrent Difference

The DataTorrent Ingestion Solution ensures that all business-critical data arrives on time and that you're able to use it to drive key business insights.

Get accurate, consistent data faster

  • Pre-built data pipelines along with drag-and-drop application assembly enables you to ingest high-volume streaming data from a variety of sources within milliseconds
  • Built-in transformations including dedupe, filter, sanitize, and enrich help you ingest and cleanse data while in motion

Ease of use

  • Build powerful ingestion pipelines without writing code; leverage pre-built templates for common data pipelines – HDFS to HDFS, Kafka to HDFS, and Amazon S3 to HDFS
  • Ingest data from broad spectrum of data sources such as HDFS, messaging systems (Kafka, Flume), and JDBC into popular data sinks such as HDFS, Hive, NoSQL (Cassandra, MongoDB) databases, and many more.

Fast time-to-market

  • Accelerate time to market from months to weeks with proven, production-ready solution and real customer-use cases
  • Self-service, role-based accessibility for a broad set of developers, including Data Engineers and Java Developers, ensures fast application development

Proactive monitoring, real-time visualization

  • Web-based management and monitoring interface allows developers and operators to closely monitor data pipelines and application performance
  • Ready-to-use visualization tool allows business users to create powerful interactive, customizable dashboards to visualize output from applications in real-time

Enterprise-ready

  • Dynamic scalability allows applications to automatically scale up and down ensuring high performance, effective compute utilization and lower operational costs
  • 99.999vailability; exactly once processing semantics for no data loss and no duplicate data

Customer Story

Leading global bank meet anti-money laundering compliance directives with DataTorrent Ingestion and Transformation Solution

Read Customer Story

Build Your Solution Today

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