SingleStoreDB
SingleStoreDB is a distributed SQL database engineered for low-latency analytics and real-time data ingestion, targeting enterprises that need sub-second query performance at scale.
Publisher review
SingleStoreDB is a distributed SQL database engineered for low-latency analytics and real-time data ingestion, targeting enterprises that need sub-second query performance at scale. It is designed for use cases such as real-time dashboards, user-facing analytics, and AI-powered applications, serving customers like Nvidia, Goldman Sachs, Adobe, and Siemens. The platform supports ANSI SQL and is wire protocol-compatible with MySQL, making it accessible to teams familiar with MySQL while offering faster performance. SingleStoreDB is a proprietary solution, majority-owned by Vector Capital, and is recognized as a leader by Gartner and Forrester Wave across multiple categories.
How it works
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Hybrid rowstore and columnstore
Supports both row-oriented and column-oriented storage engines to optimize for transactional and analytical workloads within a single platform.
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Fast data ingest
Capable of ingesting data at a rate of a trillion rows per second, enabling real-time data pipelines and streaming analytics.
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Blazing fast aggregate queries
Delivers sub-second query performance on aggregate queries, even at scale, as reported by users achieving 10x to 100x improvements over Microsoft SQL Server.
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MySQL wire protocol compatibility
Compatible with MySQL wire protocol, allowing MySQL clients and tools to connect directly, minimizing migration effort for MySQL users.
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Enterprise AI capabilities
Provides integrated AI features for powering enterprise AI workloads, including support for vector search and machine learning model inference.
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Scalable architecture
Distributed architecture with separation of compute and storage, enabling elastic scaling horizontally for high concurrency and large data volumes.
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Sub-second query performance
Achieves sub-second query response times at scale, as noted in user reviews and comparisons against competitors like Snowflake.
Strengths and trade-offs
Strengths
- SingleStoreDB ingests data at a rate of a trillion rows per second, enabling real-time analytics on massive streaming datasets.
- Users report 10x to 100x performance improvements over Microsoft SQL Server for aggregate queries, with sub-second response times.
- It offers significantly lower costs than Snowflake while delivering superior performance, as highlighted in user comparisons.
- The platform has a strong customer focus and a robust roadmap, with nearly two dozen Gartner Peer Insights reviews averaging 4.5 stars.
Trade-offs
- SingleStoreDB provides limited tuning control compared to ClickHouse, which offers more granular optimization options for advanced users.
- It is not open-source, which restricts community contributions and transparency, unlike competitors such as ClickHouse.
- Separation of compute and storage may incur additional costs for users who need to scale compute independently of storage.
- Scaling to a smaller footprint is less smooth than desired, according to some user reviews on Gartner Peer Insights.
Pricing context
Pricing is not explicitly stated in sources; SingleStoreDB offers a cloud-based service with flexible pricing, but specific tiers or dollar figures are not provided.
Getting started with SingleStoreDB
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Sign up for SingleStoreDB
Navigate to the SingleStoreDB website and click the "Start Free" or "Try Free" button. Fill in your email, name, and company details to create an account. Verify your email address to activate your workspace.
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Connect your data source
In the SingleStoreDB portal, go to the "Data Sources" section. Choose your data source type (e.g., MySQL, Kafka, S3). Enter the connection details such as host, port, credentials, and database name. Test the connection to ensure it succeeds.
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Create a database and table
Open the SQL Editor in the SingleStoreDB portal. Run a CREATE DATABASE statement to create a new database. Then, define a table using CREATE TABLE, specifying columns and choosing rowstore or columnstore storage based on your workload.
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Load sample data and query
Use INSERT statements or the data import wizard to load sample data into your table. Write a SELECT query with aggregations (e.g., SUM, COUNT) to test performance. Observe sub-second response times for aggregate queries.
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Set up a real-time dashboard
Connect your SingleStoreDB database to a visualization tool like Tableau or Power BI. Create a live dashboard that refreshes automatically. Configure the dashboard to display real-time metrics from streaming data ingested via Kafka or other pipelines.
Frequently Asked Questions
What is SingleStoreDB used for?
SingleStoreDB is a distributed SQL database for low-latency analytics and real-time data ingestion. It supports use cases like real-time dashboards, user-facing analytics, and AI-powered applications. Customers include Nvidia, Goldman Sachs, Adobe, and Siemens.
Is SingleStoreDB compatible with MySQL?
Yes, SingleStoreDB is wire protocol-compatible with MySQL, allowing MySQL clients and tools to connect directly. This minimizes migration effort for teams familiar with MySQL while offering faster query performance and real-time analytics capabilities.
How fast is SingleStoreDB data ingestion?
SingleStoreDB can ingest data at a rate of a trillion rows per second, enabling real-time data pipelines and streaming analytics. This capability supports massive datasets and sub-second query performance for aggregate queries at scale.
What are the main strengths of SingleStoreDB?
SingleStoreDB offers sub-second query performance, 10x to 100x improvements over Microsoft SQL Server for aggregates, and lower costs than Snowflake. It also has strong customer focus with nearly two dozen Gartner Peer Insights reviews averaging 4.5 stars.
What are the weaknesses of SingleStoreDB?
SingleStoreDB provides limited tuning control compared to ClickHouse and is not open-source, restricting community contributions. Separation of compute and storage may add costs, and scaling to a smaller footprint is less smooth than desired per user reviews.
Does SingleStoreDB support AI workloads?
Yes, SingleStoreDB includes integrated AI features for enterprise workloads, such as vector search and machine learning model inference. This supports AI-powered applications alongside real-time analytics and dashboards.
Alternatives
How SingleStoreDB compares
Direct head-to-head against 3 competitors. Picked by 7wData.
SingleStoreDB
- Pricing
- Pricing is not explicitly stated in sources; SingleStoreDB offers a cloud-based service with flexible pricing, but specific tiers or dollar figures are not provided.
- Target
- SingleStoreDB is a distributed SQL database engineered for low-latency analytics and real-time data ingestion, targeting enterprises that need sub-second query performance at scale.
- Strength
- SingleStoreDB ingests data at a rate of a trillion rows per second, enabling real-time analytics on massive streaming datasets.
- Watch for
- SingleStoreDB provides limited tuning control compared to ClickHouse, which offers more granular optimization options for advanced users.
TiDB
- Pricing
- Free tier available, enterprise pricing custom/contact sales
- Target
- MySQL-compatible HTAP workloads
- Deployment
- Cloud, on-prem, hybrid
- Strength
- Auto-sharding with Raft consensus for strong consistency
- Watch for
- Open-source core but enterprise features require commercial license
Snowflake
- Pricing
- $23/credit (compute), $40/TB/month (storage)
- Target
- Cloud-native analytics workloads
- Deployment
- Multi-cloud SaaS
- Strength
- Near-zero maintenance with elastic scaling
- Watch for
- Compute/storage decoupling can lead to unpredictable costs
Amazon Redshift
- Pricing
- $0.25/hour for RA3 nodes, $0.024/GB/month storage
- Target
- AWS-centric data warehousing
- Deployment
- AWS only
- Strength
- Deep AWS service integrations
- Watch for
- Concurrency scaling adds 10x cost during peak loads
User reviews
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Sources
Reporting on this tool draws on these publicly available sources.