SingleStore Helios®
Real-time transactions and analytics in a single, unified platform
SingleStore Helios® eliminates these compromises – a cloud database-as-a-service that unifies transactions, analytics, and AI workloads in real time, delivering single-digit millisecond response times without the infrastructure burden.
Performance without the architectural complexity
Single-digit millisecond response times on large datasets, supporting hundreds of concurrent users running complex queries simultaneously. Data ingestion streams from Kafka, Amazon S3, and HDFS with optional real-time transforms. Storage and compute scale independently – performance stays consistent as volumes grow, without maintaining separate transactional and analytical systems.
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Every data type, one platform
Universal Storage combines rowstore and columnstore in a unified table type – high performance for both transactions and analytics without separate systems. Multi-model support covers relational, JSON, vector search, full-text search, time-series, geospatial, and key-value data. Works alongside IBM DataStax for organisations with specific unstructured data and vector search requirements at scale.
Enterprise-ready from day one
Security for data at rest and in motion, authentication via Okta, Ping, and Azure AD, audit logging, and compliance certifications including ISO/IEC 27001, SOC 2 Type 2, GDPR, and HIPAA. High availability with SLA guarantees, point-in-time recovery, and multi-AZ failover – without becoming a database administrator to manage it.
AI-native by design
Call machine learning models and large language models directly from SQL – no separate environment, no data movement. Aura Analyst enables conversational data exploration through natural language queries. For organisations building AI-ready platforms, SingleStore provides the unified operational and analytical layer that IBM watsonx.data governs across the estate.
SingleStore in action
SingleStore sits at the heart of Dot Group’s Activate AI platform architecture – the operational and analytical database layer feeding AI applications with current, trusted data in real time. We implement SingleStore alongside Confluent for streaming ingestion and watsonx.data intelligence for governance, building the unified platform that modern AI workloads demand.
Running separate systems for transactions and analytics?
Talk to us about what a unified platform would deliver.