Overview

SingleStore Helios® is a fully managed, cloud-native database‑as‑a‑service that unites transactions and analytics in a single distributed SQL engine. It delivers sub‑10 ms query latency, supports ANSI SQL alongside NoSQL, and scales storage separately from compute to meet dynamic workload demandsIts architecture combines in‑memory rowstore and disk‑based columnstore under Universal Storage, enabling high concurrency, flexible storage, and real‑time data ingestion through pipelines . Helios includes developer extras like Jupyter notebooks, integrated data ingestion, and built‑in AI/vector compute services—making it a versatile platform for analytics, ML, and operational apps.

Features and Capabilities

• Elastic, fully‑managed cloud service: deploy on AWS, Azure, GCP with online scaling, auto‑patching, and managed operations .
• Hybrid SQL + NoSQL: supports ANSI SQL, JSON, time‑series, vector search, geospatial and full‑text queries .
• Distributed universal storage: unified rowstore/columnstore tables; rowstore in-memory, columnstore on storage; combines OLTP and OLAP efficiency .
• Ultra-low latency & high concurrency: code generation, SIMD, vectorization yield millisecond queries under concurrent workloads .
• High-throughput ingestion: pipelines and streaming ingest from Kafka, S3, HDFS with exactly-once semantics
• Separation of compute & storage: enables infinite storage and independent compute scaling .
• Operational analytics & real-time apps: ideal for in‑app dashboards, operational reporting, fraud detection, IoT, RAG and AI vector workloads .
• Multi-model & developer support: built-in Jupyter notebooks, native connectors, and AI support via SQrL and vector functions .
• High availability & durable: partition replication, write‑ahead logs, snapshots, and disk-backed columnstore for fault tolerance .
• Cloud-native features: BYOC, autoscaling, Iceberg integration, full-text enhancements, and variable deployment options