SingleStore
The distributed database designed for low-latency SQL, powering real-time insights, smart apps, and AI experiences with unified engine.
Editor's Verdict
Key Takeaways
- Low-latency distributed SQL
- Unified engine
- AI capabilities
- Multi-model support
In-Depth Review: What is SingleStore?
SingleStore is a distributed database optimized for low-latency SQL, enabling real-time analytics, transactions, and AI/ML functions in one unified engine. It handles petabyte-scale data with high concurrency, integrates with popular tools, and is trusted by leading companies for demanding workloads. Start building today.
Core Features
Low-latency distributed SQL
A distributed database designed for ultra-low latency SQL queries, handling high concurrency and petabyte-scale datasets.
Unified engine
Run analytics, transactions, and search together in a single engine without complex pipelines.
AI capabilities
Includes Aura Analyst for natural language to SQL, AI Functions for LLM and embeddings in SQL, and ML Functions for anomaly detection.
Multi-model support
Supports relational, JSON, time-series, full-text search, vector, and geospatial data models.
Scalability and high availability
Features Bottomless Storage, read replicas, multi-AZ failover, and 99.9%/99.99% SLAs.
Pricing
Shared
- 1 Free Workspace
- Shared Workspace
- All SQL and Programmability features
- Monitoring
- Self-support
Standard
- Read-replicas
- All SQL and Programmability features
- Database Branching
- Monitoring (30-day)
- 99.9% SLA (1 AZ) or 99.99% SLA (2 AZ)
- Standard Support
BYOC (Standard)
- Fully managed Helios Cloud within your own VPC
- Read-replicas
- All SQL and Programmability features
- Monitoring (30-day)
- Standard Support
Enterprise
- Everything in Standard
- Online Point-in-Time Recovery (PITR)
- Smart DR (Preview)
- Audit Logging
- Customer-managed encryption keys (CMEK)
- 99.9% SLA (1 AZ) or 99.99% SLA (2 AZ)
Pros and Cons
Pros
- Ultra-low latencySingleStore provides fast query response times even for complex queries, enabling real-time analytics.
- Unified engineCombines analytics, transactions, and search in one system, eliminating data movement and pipeline complexity.
- ScalabilityHandles high concurrency and petabyte-scale datasets with consistent performance, supported by Bottomless Storage.
- AI integrationBuilt-in AI and ML functions allow direct SQL execution of LLM embeddings and anomaly detection.
- MySQL compatibilityMySQL wire-compatible, making it easy for developers to adopt with existing tools and drivers.
Cons
- Cost at scalePricing per hour and per GB storage can become expensive for large deployments, especially with high usage.
- Learning curveWhile SQL-based, advanced features like Wasm code engine and AI functions require additional expertise.
- Vendor lock-inProprietary features may make migration to other databases challenging.
- Limited free tierThe free Shared plan is only for development and testing, with limited resources and self-support.
- Complex pricingMultiple variables (compute credits, storage, data transfer) make monthly costs unpredictable.
Use Cases & Recommended Professions
Data Engineer→ View Toolkit
Build and maintain real-time data pipelines, leveraging SingleStore's ingestion and streaming capabilities for low-latency analytics.
Backend Developer→ View Toolkit
Develop applications requiring fast, scalable SQL databases with AI features, using MySQL-compatible interfaces.
AI/ML Engineer→ View Toolkit
Utilize built-in AI and ML functions to run sentiment analysis, anomaly detection, and embeddings directly in SQL.
Data Scientist→ View Toolkit
Analyze large datasets in real-time with complex queries and leverage Aura Analyst for natural language querying.
Product Manager→ View Toolkit
Oversee product features that rely on real-time data insights and AI, ensuring performance and scalability.
Solutions Architect→ View Toolkit
Design distributed database architectures for high-concurrency, petabyte-scale applications with unified engine benefits.
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ℹ️ Curation Disclosure: The overview and features of SingleStore were synthesized using AI and fact-checked by our curation team to ensure accuracy.
