CREATE PIPELINE

Accelerate Data Ingestion with Real-Time ETL

Effortlessly set up streaming ingest feeds from Apache Kafka and Amazon S3 using single CREATE PIPELINE command

extract

Extract

Pull data directly from Apache Kafka or Amazon S3 with no additional middleware required

transform

Transform

Map and enrich data with user defined or Apache Spark transformations for real-time scoring, cleaning and de-duplication

load

Load

Guarantee message delivery and eliminate duplicate or incomplete stream data for accurate reporting and analysis

Optimized for Streaming

Rapid Parallel Loading

Rapid Parallel Loading

Load multiple data feeds into a single database using scalable parallel ingestion

De-Duplication

Live De-Duplication

Eliminate duplicate records at the time of ingestion for real-time data cleansing

Simplified Architecture

Simplified Architecture

Reduce or eliminate costly middleware tools and processing with direct ingest from message brokers

Custom Connectivity

Build Your Own

Add custom connectivity using an extensible plug-in framework

Exactly-once Semantics

Exactly Once Semantics

Ensure accurate delivery of every message for reporting and analysis of enterprise critical data

Build-in Management

Built-in Management

Connect, add transformations and monitor performance using intuitive web UI

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Integrated Architecture

pipelines architecture

Efficiently load data into database tables using parallel ingestion from individual Apache Kafka or Amazon S3 brokers

See Pipelines in Action

 

Watch the video above to see how to build data pipelines with MemSQL.
Read our CREATE PIPELINE documentation to learn more.

Learn How DellEMC Architects for Streaming

 

Learn how DellEMC is bringing real-time and business critical data together.

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