Machine Learning & Artificial Intelligence

Create and operate models at scale across streaming & historical data

Transform your Business with Scalable ML/AI Applicationskey-benefits

SingleStore offers an ultra fast ingest and query platform that enables real-time model scoring on both
streaming and historical data.

Fast, Scalable Data Exploration

Centralize all operational data with built-in pipelines while performing ultra-fast queries to identify new models
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Streaming Ingest
Eliminates costly data integration tools through built-in batch and real-time data pipelines
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Columnar Powered Analytics
Fast petabyte scale analytics with columnstore compression
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Compiled Queries
Repeat queries are compiled into low level machine code to deliver record breaking response for analytic queries

Ultra-Fast Analysis and Scoring

Discover anomalies or predict events as they happen combining real-time and historical sources with standard SQL.
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Real-time scoring
Deliver instant matching to complex models against big data sets
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Built-in ML functions
Apply built-in models or leverage extensibility functions to maximize response time
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Data pipeline scoring
Score models as data is ingested to provide immediate response to changing conditions

Proven Compatibility

ANSI SQL compliant with full data persistence improves data accuracy that also works with existing data science workbenches, business intelligence, and data integration tools.
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Streaming inputs include: Apache Kafka and Spark Database inputs include: S3, HDFS, Files
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Perform ad hoc analysis with business intelligence tools like Tableau, Looker, Microstrategy and more
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Data Science Compatible
Integrate with model design tools like TensorFlow, Pandas, R, NumPy, SAS, SparkML, and more

Unlimited Scale

Shared nothing architecture for scale out and up using standard hardware. Deploy on-premises, as-a-service or a hybrid of both.
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Distributed SQL
Balance data and queries across a cluster of cloud instances or commodity hardware for maximum performance
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Resource Governer
Prevent unintended queries from consuming all available query execution memory in the cluster
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Memory Optimized
Ultra-low latency for scalable transactions and analytics

Machine Learning Architecturearchitecture

SingleStore Machine Learning Architecture

SingleStore Powers Real-Time Machine Learning

SingleStore offers the ideal architecture for ML and AI applications with the all-in-one database solution that can quickly model and score fast changing data for real-time response to dynamic conditions driven by customers, machines, or 24/7 operations.

Example Applicationsapplications

Fraud Detection

Get fine-grained visibility by calculating volatile events across millions of records for deeper more accurate analysis of fraudulent activities
View Monitoring and Detection Solution

Portfolio Tracking

Track and manage portfolio risk in real time across millions of financial records to maximize investor performance.
Read Case Study on Novus

Facial Recognition

Facial recognition that works under increasingly challenging circumstances, including working at scale and using video frames, not just static images.
Read Case Study on Epigen
Trusted by Innovative Companies of Every Size
SingleStore Partners

Lightning Fast Real-time Analytics on Large Datasets

Comcast can proactively diagnose potential issues from real-time intelligence and deliver the best possible video experience.
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
Read the Case Study