AI visibility report
AI visibility report for SingleStore in Databases & Data Infrastructure.
Outside the top three on 18 of the 25 prompts buyers actually ask.
PingCAP is cited on 6 of those losses.
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Track SingleStore across these prompts daily.
Start free trialStill absent from 99.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Perplexity
Bing Copilot
ChatGPT
Google AI Mode
Gemini Search
GrokHow to read this. SingleStore appears in 0.7% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where SingleStore is losing
Prompts where competitors are visible and SingleStore is not.
These prompt-level losses are the first prompts to track and repair.
Where SingleStore is winning1
What tools sync data from a primary operational database to an analytics warehouse for real-time reporting without heavy ETL infrastructure?
Avg # 3.0 · 1 platform
Where SingleStore is losing5
Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change?
Competitors on 4 platforms
Track this promptWhich time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods?
Competitors on 4 platforms
Track this promptWhich globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup?
Competitors on 3 platforms
Track this promptWhich distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application?
Competitors on 3 platforms
Track this promptWhich columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store?
Competitors on 3 platforms
Track this prompt
Track SingleStore daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
SingleStore (formerly MemSQL) is a San Francisco-based distributed SQL database company founded in 2011. Its flagship product, SingleStore Helios, is a cloud-native platform designed to unify transactional (OLTP) and analytical (OLAP) workloads—known as HTAP—within a single engine, eliminating the need to maintain separate databases for different workload types. It natively supports relational SQL, JSON, vector, full-text search, time-series, and geospatial data. The platform is MySQL wire-protocol compatible and offers a MongoDB-compatible API (SingleStore Kai). Deployment options include managed cloud on AWS, Azure, and GCP; Bring Your Own Cloud (BYOC); and self-managed on-premises. In September 2025, Vector Capital acquired a majority stake in a growth buyout. SingleStore serves 100+ Fortune 500 customers across 40+ industries including financial services, media, retail, and high tech.
SingleStore Helios is a distributed, cloud-native SQL database that unifies transactional and analytical processing in a single engine with native multi-model support spanning relational, JSON, vector, full-text, time-series, and geospatial data. It is designed for enterprise AI and real-time application workloads requiring ultra-low latency and high concurrency at petabyte scale.
Key Facts
- Founded
- 2011
- HQ
- San Francisco, CA, USA
- Founders
- Nikita Shamgunov, Adam Prout, Erik Frenkiel
- Funding
- ~$558M
- ARR
- ~$123M
- Customers
- hundreds (100+ Fortune 500 / Forbes Glob
- Valuation
- $1.3B (last pre-buyout, 2022)
- Status
- Private (majority stake acquired by Vector Capital, Sep 2025
Target users
Key Capabilities10
- Unified HTAP engine combining OLTP and OLAP in a single distributed SQL database
- Multi-model data support: relational SQL, JSON, vector, full-text search, time-series, and geospatial
- Ultra-low latency query execution with high concurrency (thousands of simultaneous users)
- Native vector search and AI functions (LLM embeddings, sentiment analysis, classification) in SQL
- MySQL and MongoDB wire-protocol compatibility for simplified migration
- Built-in streaming data pipelines (SingleStore Pipelines) with native Kafka ingestion
- Flexible deployment: managed Helios cloud (AWS/Azure/GCP), BYOC, or self-managed on-premises
- Aura AI layer: natural language to SQL (Aura Analyst) and built-in ML functions
- Bottomless (tiered/unlimited) storage with separate compute and storage scaling
- Database branching, point-in-time recovery, and SOC 2 Type II / ISO 27001 compliance
Key Use Cases8
- Real-time customer-facing analytics and dashboards at high concurrency
- AI and generative AI application backends requiring vector search and LLM integration
- Operational analytics consolidating OLTP and OLAP into a single platform
- Streaming data ingestion and processing (IoT, clickstreams, event pipelines)
- Adtech, martech, and salestech platforms requiring sub-second query response
- Financial services risk analytics and fraud detection at low latency
- SaaS multi-tenant application databases requiring elastic scalability
- Mainframe offload and legacy database modernization
SingleStore customer outcomes
50% reduction in hardware requirements; in-memory footprint cut 80% (12 TB to 2 TB)
Migrated from on-premises SingleStore to AWS with SingleStore as primary database, transforming infrastructure to achieve major cost and performance improvements across its omnichannel advertising platform.
100X faster opportunity score processing; 1,200% faster page-loading
Deployed SingleStore to power Dell's SalesWorks Revenue Intelligence platform, replacing a solution that took 45–60 seconds to load a page and required complex manual processes.
$5M+ improvement to bottom line
Replaced a complex 20-step, 15+ hour batch data ingestion process with a distributed real-time ecosystem using SingleStore, simplifying data management to a single database.
10–100X speed gains on dashboards; up to 100,000 concurrent users supported
Implemented SingleStore for its Pulse Analytics system combined with Kubernetes and AWS, enabling real-time dashboards and handling massive user spikes.
80% resolution of data platform challenges; 40X savings from reconciliation automation
Selected SingleStore to simplify a sprawling data ecosystem, automate reconciliation processes, and enable self-service AI/ML access for business users.
10%+ more engineering time redirected to product roadmap
Adopted fully managed SingleStore Helios to eliminate infrastructure operations overhead, freeing engineering capacity for product development.
Recent Trend
How AI describes SingleStore3
Columnar databases excel at analytics-heavy workloads, but for mixed OLTP + OLAP (HTAP) scenarios, specialized hybrid engines like SingleStore, TiDB, and AlloyDB are better suited.
Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store?
* ### SingleStore A distributed SQL database with native vector search. Strong when you need: * SQL analytics * transactional workloads * vectors * real-time ingestion in one engine.
What are the best dedicated vector databases, and how do they compare to adding vector search extensions to an existing relational database?
...gabyteDB | PostgreSQL | Excellent | Logical replication, CDC, xCluster | PostgreSQL applications needing global scale | | SingleStore | MySQL | Very good | Pipelines, replication, CDC | HTAP and analytics-heavy workloads | | Google Cloud Spanner | Variou...
Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application?
Most cited sources1
Alternatives in Databases & Data Infrastructure6
SingleStore positions as a unified HTAP (hybrid transactional and analytical processing) database that can replace multiple specialized databases—OLTP, OLAP, vector, full-text, and time-series—with a single distributed SQL engine.
- Its primary differentiation is ultra-low latency at high concurrency, MySQL wire-protocol compatibility (easing migration), and multi-model support in one platform.
- Against pure analytics databases like ClickHouse, SingleStore emphasizes transactional capability and broader workload unification.
- Against distributed OLTP databases like CockroachDB, it emphasizes real-time analytics speed.
- Against MongoDB, it emphasizes SQL compatibility and faster analytical throughput.
- Its 2025 acquisition by Vector Capital and growing Aura AI layer (natural language SQL, built-in LLM/ML functions) sharpen its pitch toward enterprise AI application workloads.
Reviews
Praised
- Ultra-low latency query speed on large datasets
- High concurrency handling (thousands of simultaneous users)
- Native Kafka ingestion via SingleStore Pipelines (no external connectors needed)
- MySQL wire-protocol compatibility easing migration
- Multi-model support (SQL, JSON, vector) in one engine
- Multi-cloud managed service (AWS, Azure, GCP)
- Responsive and knowledgeable customer support
- Ease of use for MySQL-experienced engineers
Criticized
- Documentation quality gaps hindering onboarding
- Not beginner-friendly for early-stage developers
- Steep learning curve without MySQL background
- Limited table-level cross-cluster replication
- Advanced SQL features (window functions, complex JSON) less complete than alternatives
- Perceived premium pricing relative to open-source options
- Support routing through third-party resellers can add friction
Users consistently praise SingleStore for exceptional query speed and ingestion throughput—particularly Kafka-based streaming pipelines—and its ability to handle thousands of concurrent users for customer-facing dashboards. MySQL compatibility is cited as a migration accelerator. Common criticisms include documentation gaps, a steeper-than-expected learning curve for newcomers, limited cross-cluster replication, and premium pricing. Enterprise buyers in financial services, adtech, and SaaS dominate the reviewer base across Gartner Peer Insights and G2.
Pricing
SingleStore Helios cloud pricing is usage-based, billed in credits. A free shared tier (1 workspace) is available for development and testing. The Standard managed tier starts at $0.99/hour per workspace with $600 in free trial credits; it includes read replicas, database branching, 30-day monitoring, and 99.9%–99.99% SLA depending on availability zone configuration. The Enterprise tier starts at $1.49/hour and adds online point-in-time recovery (PITR), Smart DR, audit logging, and customer-managed encryption keys (CMEK). Storage is billed separately at approximately $0.023–$0.025/GB/month. A BYOC (Bring Your Own Cloud) Standard option is available via custom pricing. Commitment pricing discounts are available for production workloads. Self-managed on-premises pricing is not publicly listed. SingleStore Flow (optional CDC/replication add-on) is billed separately by compute size and data volume processed.
Limitations
- SingleStore is not open-source, which has historically slowed developer-led community adoption compared to PostgreSQL or MongoDB.
- Users on G2 and TrustRadius note documentation quality gaps that can hamper onboarding.
- The platform has a learning curve, particularly for teams without MySQL background, and is noted as 'not beginner-friendly' for early-stage AI developers.
- Some users report limited cross-cluster table-level replication options.
- Advanced SQL features such as window functions and complex JSON functions are more constrained than in some competing databases.
- Pricing is perceived as high for smaller teams.
- The 2025 private equity acquisition by Vector Capital introduces strategic uncertainty around product roadmap and IPO timeline.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Bing Copilot | Perplexity | ChatGPT | Google AI Mode | Gemini Search | Grok |
|---|---|---|---|---|---|---|
Capability0/5 cited (0%) | ||||||
Which globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What in-memory caching tools integrate best with persistent databases — and which are worth adding versus just optimizing primary database queries? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which managed database platforms offer the best multi-region replication with automatic conflict resolution for write-write scenarios? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What are the best dedicated vector databases, and how do they compare to adding vector search extensions to an existing relational database? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Developer Experience0/5 cited (0%) | ||||||
Which cloud-native database platforms handle connection pooling best for serverless workloads with unpredictable connection spikes? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which ORMs and query builders offer the best TypeScript experience for a distributed SQL database? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which time-series databases have the best query authoring and debugging experience for teams coming from relational databases? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which developer-focused databases offer the best local development experience that actually mirrors the production setup? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Integrations & Ecosystem1/5 cited (20%) | ||||||
Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What tools sync data from a primary operational database to an analytics warehouse for real-time reporting without heavy ETL infrastructure? | Neither your brand nor a competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which cloud database platforms support change data capture for streaming row-level changes to a message queue or event bus with low latency? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which managed database platforms have the best ORM and query builder compatibility for JavaScript and Python ecosystems? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which managed database platforms make multi-cloud portability practical — so moving between cloud providers isn't a nightmare? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Performance & Reliability0/5 cited (0%) | ||||||
Which managed database services offer the best backup and point-in-time recovery for production applications handling financial transactions? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which serverless database platforms maintain the best read/write throughput under sustained load with reliable autoscaling? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What tools and benchmarks help compare database platforms for high-concurrency transactional workloads before committing to one? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which distributed SQL databases handle automatic failover most reliably when a node goes down — with the fastest recovery times? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run0/5 cited (0%) | ||||||
What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
I'm evaluating managed cloud databases versus self-hosted options for a seed-stage product — what should I look at? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which developer-focused database platforms handle schema migrations with CI/CD pipeline tooling out of the box? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which database platforms support branching so I can get a fresh isolated database copy per pull request for feature development? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | PingCAP | 6.7% | 23.0% | 0.7% | 2.0% | 6.0% | #4.7 | +0.28 |
| 2 | CockroachDB | 5.3% | 14.9% | 0.7% | 2.7% | 1.3% | #3.0 | +0.33 |
| 3 | Supabase | 4.7% | 16.2% | 4.0% | 0.7% | 18.7% | #2.8 | +0.71 |
| 4 | ClickHouse | 4.0% | 12.2% | 0.0% | 0.0% | 10.0% | #3.9 | +0.38 |
| 5 | MongoDB | 2.7% | 6.8% | 2.0% | 0.0% | 27.3% | #2.6 | +0.59 |
| 6 | QuestDB | 2.7% | 8.1% | 0.0% | 2.7% | 5.3% | #3.0 | +0.67 |
| 7 | PlanetScale | 2.0% | 6.8% | 1.3% | 0.0% | 18.0% | #4.6 | +0.82 |
| 8 | Timescale | 1.3% | 2.7% | 0.0% | 0.7% | 0.7% | #7.0 | +0.68 |
| 9 | Xata | 1.3% | 2.7% | 0.0% | 1.3% | 2.7% | #8.5 | +0.60 |
| 10 | Fauna | 0.7% | 1.4% | 0.0% | 0.0% | 1.3% | #1.0 | +0.20 |
| 11 | Neon | 0.7% | 1.4% | 0.7% | 0.0% | 22.7% | #1.0 | +0.90 |
| 12 | Redis | 0.7% | 1.4% | 0.0% | 0.0% | 12.7% | #2.0 | +0.00 |
| 13 | SingleStore | 0.7% | 1.4% | 0.0% | 0.7% | 5.3% | #3.0 | +0.20 |
| 14 | Turso | 0.7% | 1.4% | 0.7% | 0.0% | 6.7% | #5.0 | +0.85 |
| 15 | Gel | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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