Eliminate Database Sprawl

A Single Database to End Data Infrastructure Sprawl

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Simplify Your Data Architecture with One Ultra-Fast, Highly Scalable Databaseintro

Our modern, cloud-native, relational database delivers unlimited scalability in a system that is durable, available, secure and resilient to failure, across cloud providers and on-premises.

Supports all major data types (e.g., relational, semi-structured, geo-spatial, full-text search, time series, etc.)
Ingests data continuously while performing concurrent analytics at scale
Layered Security
Maintains rich security features, such as multiple forms of authentication
Query Response
Ultra-fast query response across both live and historical data
One-click deployment unleashes full platform capabilities

See SingleStoreDB in Action

With a distributed SQL database that unifies both transactional and analytical workloads, SingleStoreDB delivers fast, real-time analytics on your data.
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Eliminate Database Sprawl

Reduce Costs and Complexity by Unifying all Your Data into One Modern Cloud Database

Reduce your TCO by 60% and dramatically simplify your data architecture through SingleStore’s patented Universal Storage.

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Modern Architecture with SingleStoreOld Legacy Architecture

Trusted by Innovative Companies of Every Size
Jack Ellis
Jack Ellis,
Co-Founder, Fathom Analytics
We are now all in on SingleStoreDB Cloud, which has allowed us to drop Redis, DynamoDB, and MySQL, saving us an absolute fortune in monthly costs while dramatically improving performance.
Read Fathom Analytics Case Study

Get a Personalized Demo

Power real-time applications and analytics with breakthrough performance

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    Product Demo
    We will run through real-time demos showing the power of SingleStore.
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    Feature Comparison
    We will compare SingleStore to your current solution and others you're investigating.
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    Customized Pricing
    We will go through your use case(s) with you and describe the schemas, queries, and tables that will be needed, to give you the most accurate information on pricing for each use case.

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