Hadoop is not built for modern applications and is incredibly complex to manage.
Drive 80-100x faster insights at 50% lower costs, while dramatically reducing the complexity with a fully-managed relational database built for speed and scale.
*These metrics are based off of actual customer case studies.
SingleStore is built for parallel streaming data ingestion, super low-latency queries, and high concurrency to help you process, analyze, and act on data instantly.
(NiFi, Sqoop, Flume, Kafka)
With connectors to Kafka and Spark for real-time and batch ingest
In-memory, on disk, and the cloud object store with separation of storage and compute
(Hive, Impala, Kudu)
SingleStore SQL engine
For both transactions and analytics - Up to 100x faster
(Storm, Flink, & Spark Streaming)
Kafka + SingleStore
Stream directly from Kafka with Pipelines to perform analytics on data as it lands
(HBase, Phoenix, Solr)
Supports both operational and analytical workloads with multi-model data
ETL & Batch Processing
Spark + SingleStore
Batch processing and transformations in Spark, with SingleStore for storage, analytics, and querying
Leading organizations are augmenting or replacing their Hadoop and Cloudera implementations with SingleStore to enable fast analytics and intelligent applications.
“We’re now able to aggregate statistics across the entire US as well as glue on to complex streams for complex analysis. We like to say we gave the gift [of SingleStore] to a lot of groups at Comcast.”— Christopher Lintz, Senior Principal Architect
“Every business user is requesting speed and the ability to move at an incredibly iterative pace, we need to be able to provide that and [SingleStore] allows us to do so.”— JR Cahill, Principal Architect
Customers can reach out to our Technical Support Engineers at any time. We can help you with performance optimization, schema design, or technical problems.
If you peruse any of our Gartner Peer reviews, you’ll see how much customers value our technical support.
You can reach out to our team with your questions or schedule quick calls to dive deeper into any topic.