Whether it’s bulk loading data or streaming data ingestion, your analytical applications demand high-performance data throughput to get the most out of SingleStore.
We offer a native suite of services designed to ETL/CDC data between various sources/targets and SingleStore. That means: Seamless experience for data integration with SingleStore, and no need to purchase or learn new ingestion tools.
Event streams
- Kafka
- Confluent
- RedPanda
Cloud Object Stores
- Amazon S3
- Google Cloud Storage
- Azure Blob Storage
Data lake
- Hadoop
- Iceberg (coming soon)
CDC into SingleStore
- MySQL (public preview)
- MongoDB®
CDC out from SingleStore
- Data warehouse
- Data lakehouse
- Downstream
Rapid parallel loading
Load multiple data feeds into a single database using scalable parallel ingestion
Live deduplication
Eliminate duplicate records at the time of ingestion for real-time data cleansing
Simplified architecture
Reduce or eliminate costly middleware tools and processing with direct ingest from message brokers
Build your own
Add custom connectivity using an extensible plug-in framework
Exactly once semantics
Ensure accurate delivery of every message for reporting and analysis of enterprise critical data
Built-in management
Connect, add transformations and monitor performance using an intuitive web UI
Some batches are running at around seven milliseconds. They're so unbelievably fast. SingleStore enables us to be thousands of times faster. Our platform can do everything we need it to in less than a second.
Michael Zimberg
Chief Technology Officer, Digital Asset Research