Existing transactional databases like MySQL or MongoDB® are not built for analytics because they use row-based storage. On the other hand, analytics-first data engines and data warehouses are painfully slow because they have to read — and write — data all the way from the cloud-object store.
With SingleStore, a data platform for pros, companies introduce real-time analytics into their existing data stack with minimal code changes, immediately taking advantage of millisecond response times.
The best part is you don’t have to replace your existing data stores. Just plug SingleStore in between your transactional and analytical database, and start reaping benefits right away.
SingleStore Kai™ is a fast, easy and powerful API to drive up to 100x faster analytics or aggregations for your MongoDB® applications — without any query changes or data transformations.
Augment your MongoDB cluster with SingleStore to power lightning-fast analytics on JSON.
Get started in three easy steps:
STEP 1: Create a link to your MongoDB® instance
STEP 2: Select collections you want to replicate and check for replication to be complete in SingleStore
STEP 3: Run faster analytics queries
Leading enterprises are augmenting their legacy or cloud data warehouses with SingleStore as the fast layer to drive ultra-fast analytics and power modern data applications.
Achieve 20-100x faster time-to-insights and up to 50% lower TCO by augmenting your data warehouses with SingleStore.
Get started today!
Step 1 - Sign up for SingleStore for free
Step 2 - Create pipeline or CDC out from your warehouse
Step 3 - Bring in your data and test your queries
Step 4 - Sign up for a meeting with an expert
Case Studies:
How ZoomInfo Augmented Big Query to Drive 24x Faster Intent to Action
How Three Companies Use SingleStore for Data Warehouse Augmentation
Learn More:
Hadoop is not optimized for the demands of modern intelligent applications and fast analytics.
Enterprises are augmenting Hadoop and moving workloads into SingleStore to drive 100-1,000x faster ETL and analytics at a fraction of the costs — with zero complexity.
Get started today!
Step 1 - Sign up for SingleStore for free
Step 2 - Create pipeline from HDFS or CDC out
Step 3 - Run your Hadoop jobs or test your queries
Step 4 - Sign up for a meeting with an expert
Learn more:
Blog: Top 5 Reasons Why SingleStore Is Ideal to Replace or Augment Hadoop
Case Studies:
Comcast - Real-Time Stream Processing Architecture with Hadoop and SingleStore
Impact.com - Driving sub-second latencies by augmenting Cloudera
About 90 percent of enterprise data remains “frozen” in lakehouses (such as Apache Iceberg tables) and is unusable for powering fast interactive applications, analytics or AI.
SingleStore offers an integration with Apache Iceberg, enabling low-latency ingestion and bi-directional data flow to unlock data from Iceberg tables to power sub-second analytics and applications.
Get started today!
Step 1 - Sign up for SingleStore for free
Step 2 - Create pipeline or CDC out
Step 3 - Bring in your data and test your queries
Step 4 - Sign up for a meeting with an expert
Learn More:
Register Now: Unfreeze your Iceberg Lakehouse to Power Intelligent Applications
Power Real-Time Analytics and Apps
With parallel streaming ingestion, fast writes, low-latency analytics, and vector/search capabilities in a single unified data platform, SingleStore powers real-time applications with analytics, without the need for complex ETL or data movement.
Learn more : SingleStore for Real-Time Analytics
SingleStore Spaces
Browse through a collection of quickstart modules and solve common problems in a few minutes with end-to-end applications using SingleStore.