SingleStore vs.
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We were able to build more confidence in our ability to provide a platform we could grow with that could operate cost-effectively at scale. SingleStore struck the right balance of performance, cost, expressiveness and partnership.
Molly Shelestak
Principal Product Manager, Heap by Contentsquare
We evaluated SingleStore against MySQL, PostgreSQL, and Druid. We have also quickly looked at ClickHouse and Pinot. We found SingleStore was a polished installation and operation was a breeze. That, coupled with the great performance, led us to select SingleStore very quickly in our evaluation.
Engineer
Verified
Huge win for @Monitor_Base today. A PHP process doing 10-15 million records with 100s of columns and 8 joins used to take us 24-48 hours to process. Moved it all to SQL on @SingleStoreDB ...less than 10 minutes. It's a new age.
Guy Warner
We were able to build more confidence in our ability to provide a platform we could grow with that could operate cost-effectively at scale. SingleStore struck the right balance of performance, cost, expressiveness and partnership.
Molly Shelestak
Principal Product Manager, Heap by Contentsquare
We evaluated SingleStore against MySQL, PostgreSQL, and Druid. We have also quickly looked at ClickHouse and Pinot. We found SingleStore was a polished installation and operation was a breeze. That, coupled with the great performance, led us to select SingleStore very quickly in our evaluation.
Engineer
Verified
Backup and restore
As data sets grow, MySQL's backup/restore times (especially logical) can become an operational challenge.
SingleStore offers a more distributed, parallel backup/restore workflow, significantly reducing downtime and time-to-recovery for large-scale, high-throughput environments.
Huge win for @Monitor_Base today. A PHP process doing 10-15 million records with 100s of columns and 8 joins used to take us 24-48 hours to process. Moved it all to SQL on @SingleStoreDB ...less than 10 minutes. It's a new age.
Guy Warner
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Your intelligent apps are about to get even better
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Sentiment analysis on employee survey responses
Siemens drives sentiment analysis using vector capabilities within SingleStore to analyze and gain deeper insights into the responses from company-wide HR surveys across 200,000 employees worldwide.
Molly Shelestak
Principal Product Manager, Heap by Contentsquare
We were able to build more confidence in our ability to provide a platform we could grow with that could operate cost-effectively at scale. SingleStore struck the right balance of performance, cost, expressiveness and partnership.test
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SingleStore Delivers Record Performance in the Second Quarter of Fiscal Year 2026
Reinforcing its position as the leading data platform for enterprise AI.
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Step 1
Set up a link to your MongoDB® instance
1db.runCommand({2 createLink: "myLink",3 uri: "mongodb+srv://admin:<password>@cluster0.gsdas.example.com?retryWrites=true&w=majority",4});
This uses Change Data Capture (CDC) to ingest historical data and sync the continuous changes.
Step 2
Change the endpoint to SingleStore Kai
1const mongoUri = "<your-kai-endpoint>";2 3mongoose.connect(mongoUri, {4 useNewUrlParser: true,5 useUnifiedTopology: true6})7 .then(() => {8 console.log("connected!");9 })10 .catch((err) => {11 console.error("connection error:", err);12 });
Change the URI in your app logic to use your new SingleStore Kai endpoint.
Step 3
Execute your query in Mongo syntax
1db.sales.aggregate([2 {3 $addFields: {4 totalRevenue: {5 $multiply: ["$price", "$quantity"]6 }7 }8 },9 {10 $group: {11 _id: "$category",12 totalRevenue: {13 $sum: "$totalRevenue"14 }15 }16 },17 {18 $sort: {19 totalRevenue: -120 }21 }22]);
You're all set! Enjoy much faster analytics queries on MongoDB!
Step 1
Set up a link to your MongoDB® instance
1db.runCommand({2 createLink: "myLink",3 uri: "mongodb+srv://admin:<password>@cluster0.gsdas.example.com?retryWrites=true&w=majority",4});
This uses Change Data Capture (CDC) to ingest historical data and sync the continuous changes.
Step 2
[TEST]: Code block multiple tabs
1OPTIMIZE TABLE customers, orders, products;
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Step 1
[TEST]: Code block multiple tabs
1OPTIMIZE TABLE customers, orders, products;
test outpuUniversal data types
Full structured data support for analytics and transactions, including a wide range of string, number, date, time, and binary types, available in both columnstore and rowstore tables.
Real-time analytics
Where MySQL requires additional tools for real-time analytics, SingleStore offers native real-time capabilities, ensuring low-latency insights for time-sensitive applications.
Stages
Stage is a secure workspace storage area for uploading, organizing, and managing files for fast import or export.
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Built for modern applications
While MySQL may not natively support advanced geospatial features, built-in machine learning, or vector data types for AI, SingleStore provides powerful JSON and geospatial functionality, robust machine learning integration support for vector data types and seamless data streaming.
Stages
Stage is a secure workspace storage area for uploading, organizing, and managing files for fast import or export.
Flexible compute
Select CPU or GPU runtimes sized for your workload from lightweight queries to large-scale AI tasks.
True serverless architecture
Scale automatically, pay only for active usage, and let the platform handle all provisioning and orchestration
Instant availability
Pre-warmed containers spin up in under a second. Start coding immediately, no setup required.
Real-time exploration
Every answer is based on the latest data, up to the second — perfect for data + AI applications
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