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StreamSets Solutions

Powerful data engineering solutions for modern data integration across multiple cloud platforms

Use Cases

DataOps for Data Lake and Data Warehouse data integration

Cloud Data Lake Integration

Continuous data ingestion and ETL at scale

Learn How

DataOps for cloud data platform adoption

Cloud Data Warehouse Integration

Migrate and sync data between data warehouses

Learn How

DataOps for real-time applications

Power Real-time Applications

Event-based data for streaming analytics

Learn How

machine learning analytics

Data Integration for Agile Reporting

Unlock data to accelerate reporting initiatives

Learn How

Integrate data continuously to Google BigQuery, BigTable, Cloud Storage and more.

Build and operate smart data pipelines for S3, Kinesis, Redshift, RDS and more.

Build smart data pipelines in minutes for cloud, on-prem, and hybrid.

Technologies

DataOps initiatives on AWS

Build and operate smart data pipelines for S3, Kinesis, Redshift, RDS and more.

DataOps initiatives on Microsoft Azure

Build smart data pipelines in minutes for cloud, on-prem, and hybrid.

DataOps initiatives on Google Cloud Platform

Integrate data continuously to Google BigQuery, BigTable, Cloud Storage and more.

DataOps initiatives on Databricks

Ingest, transform and monitor data moving into Databricks–without coding.

DataOps initiatives on Snowflake

Simplify and automate continuous data delivery to Snowflake.

DataOps initiatives on Cloudera

Deliver continuous data into Cloudera, transform it, and synchronize to other platforms.

Awards and Recognition

Top 50 IT Infrastructure Products G2 Badge

The Hidden Problem Holding Back Finance Teams: Data Integration Friction

68% say data integration friction prevents them from delivering data at the speed of finance teams requests. Sound familiar?

hidden problem holding back finance teams

Data Engineers Gain Efficiencies With StreamSets

  8/1/23

"The best feature of StreamSets is its intuitive visual interface, allowing us to effortlessly design, monitor, and manage data pipelines without the need for complex coding. This has significantly reduced our development time and made the process highly accessible to both technical and non-technical team members."

See full Review on G2

Mili M., Senior System Analyst
Mid-Market, (51-1000 emp.)

  8/3/23

"StreamSets has lot of out of box features to use for data pipelines and connect AWS Kinesis, DB or Kafka and send to HDFS & Hive."

Read full review on G2

Sanath V.
Enterprise (> 1000 emp.)

Frequently Asked Questions

What are the benefits of data engineering solutions?

Modern data engineering solutions can enhance business decision-making, agility, and profitability while reducing operational cost savings. In addition, they can enable enterprises to respond quicker to business challenges that include financial and regulatory reporting, competitive threats, as well as changing customer expectations.

Ready to Get Started?

See how StreamSets can help you leverage all your data with powerful data engineering solutions.

Schedule a Demo
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