StreamSets Solutions
Powerful data engineering solutions for modern data integration across multiple cloud platforms
Use Cases
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
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.
Integrate data continuously to Google BigQuery, BigTable, Cloud Storage and more.
Ingest, transform and monitor data moving into Databricks–without coding.
Simplify and automate continuous data delivery to Snowflake.
Deliver continuous data into Cloudera, transform it, and synchronize to other platforms.
Awards and Recognition
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."
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."
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.