Sold by: SingleStore
Deployed on AWS
Cloud Database as a Service
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4.5
Overview
SingleStore Helios is a fully managed, distributed SQL database designed to power modern interactive applications, AI, and real-time analytics. It can power high-performance transactional (OLTP), analytical (OLAP) workloads together with vector capabilities (GenAI) in a single engine without data movement.
With SingleStore, you can ingest millions of events per second using Pipelines while simultaneously delivering blazing-fast SQL queries on billions of rows of data. Built on a modern, lock-free cloud-native architecture, SingleStore delivers super-low latency queries while scaling access to tens or hundreds of thousands of concurrent users.
For custom pricing, EULA, or a private contract, please contact AWS-Marketplace@singlestore.com , for a private offer.
Highlights
- Effortless Deployment & Elastic Scale: Get the full capabilities of SingleStore with one-click deployment and easy cloud scalability
- Ultra-Fast Event-to-Insight Performance: Deliver against the toughest service level agreements using parallel, distributed lock-free ingestion and real-time query processing
- Real-Time Gen AI: Elastic scale-out architecture with fast, accurate indexed vector search together with full-text search perfectly suited for AI applications
Details
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Deployed on AWS
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
200 Credits Per Month | 200 Credits Per Month ($720 worth of monthly usage) | $9,504.00 |
500 Credits Per Month | 500 Credits Per Month ($1,600 worth of monthly usage) | $23,760.00 |
2,000 Credits Per Month | 2,000 Credits Per Month ($7,200 worth of monthly usage) | $95,040.00 |
Dimension | Cost/unit |
|---|---|
Credit consumption from using Workspaces | $3.96 |
Monthly average GB stored in a Tier 1 Region | $0.023 |
Monthly average GB stored in a Tier 2 Region | $0.025 |
Monthly average GB stored in a Tier 3 Region | $0.026 |
Monthly average GB stored in a Tier 4 Region | $0.04 |
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Resources
Vendor resources
Support
Vendor support
For more information about SingleStore Support, please go to https://www.singlestore.com/support/ support@singlestore.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By SingleStore
By MongoDB, Inc
By Couchbase
Top
10
In Analytic Platforms, Databases & Analytics Platforms, Databases
Top
10
In Databases & Analytics Platforms, Generative AI
Top
10
In Data Analysis, Databases & Analytics Platforms, Databases
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Distributed SQL Database Architecture
Fully managed, distributed SQL database with lock-free cloud-native architecture designed for transactional (OLTP) and analytical (OLAP) workloads
High-Throughput Data Ingestion
Parallel, distributed lock-free ingestion capable of processing millions of events per second using Pipelines
Vector Search Capabilities
Indexed vector search with full-text search capabilities for generative AI applications with elastic scale-out architecture
Real-Time Query Processing
Low-latency SQL query execution on billions of rows of data with support for tens or hundreds of thousands of concurrent users
Unified Workload Engine
Single engine supporting transactional (OLTP), analytical (OLAP), and vector (GenAI) workloads without requiring data movement between systems
Native Vector Search Integration
MongoDB Atlas integrates native vector search directly into the operational database, enabling RAG and agentic AI solutions without requiring separate search infrastructure.
Flexible Document Model
Supports storage and synchronization of structured, unstructured, and semi-structured data types with dynamic schema capabilities for AI-driven applications.
Multi-Workload Unification
Consolidates operational, analytical, and AI workloads within a single database platform.
Industry Compliance Standards
Complies with HIPAA, GDPR, ISO 27001, and PCI DSS standards with built-in security features and encryption.
Elastic Scalability
Supports both vertical and horizontal scaling with configurable cluster configurations to accommodate varying application demands.
Multi-Model Data Support
Supports key-value, JSON documents, SQL queries, vectors, and full-text search capabilities within a single database platform
Real-Time Analytics Engine
Provides zero ETL JSON-native analytics architecture for real-time data processing
Geo-Aware Clustering
Enables data reliability and distribution across geographically distributed clusters
Advanced Security Controls
Implements role-based access control (RBAC) with encryption for data in transit and at rest
Mobile Data Synchronization
Offers fully managed data sync to edge devices with offline support and peer-to-peer synchronization for mobile and IoT applications
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
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-
-
Standard contract
No
No
Customer reviews
reviewer2802714
Real-time analytics has transformed our dashboards and now supports faster operational decisions
Reviewed on May 18, 2026
Review provided by PeerSpot
What is our primary use case?
SingleStore is our main platform for handling high-performance real-time analytics of large data volumes, providing transactional and operational data on a single platform.
One specific example of how we use SingleStore for real-time analytics is real-time dashboard analytics for operational data. We ingest a stream of events and transactions into SingleStore and use it to power dashboards that need real-time updates. Before using SingleStore, we had noticeable delays. We also use multi-board architecture in SingleStore to store large volumes of data that power our dashboards.
What is most valuable?
Some of the most valuable features that SingleStore offers are its speed and scalability, delivering fast query performance even with large datasets and supporting real-time analytics with very low latency. I also appreciate how it handles both transactional and analytical workloads on a single platform, reducing the complexity of the data we deal with.
SingleStore's speed and scalability have made a significant difference for our team. For example, we use SingleStore to store all our customers' data into a database. The biggest impact happened when the data started growing significantly; previously, the query performance and dashboard response times were slow because the fetches were slow. With SingleStore, we scaled without major performance issues, and reports, dashboards, and data segments that previously took much longer to generate are now produced in real-time. The fetches are very fast, which overall improves the user experience and helps teams access insights faster for operational and decision-making.
SingleStore has positively impacted my organization by improving performance, reducing query response times, and enabling faster access to business insights. It has helped our teams make quicker decisions with real-time data visibility, reducing the complexity of our systems and operational workloads.
We have noticed improvements in both productivity and operational efficiency as query execution times were significantly reduced. This means teams spend less time waiting for data and more time acting on insights. We also benefit from consolidating workloads into a single platform, which reduces infrastructure complexity, and overall resource utilization is good.
What needs improvement?
SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time. Better documentation for advanced use cases, especially where data volumes are very high and queries are frequent, would help us manage the feature more efficiently. Expanding integrations and providing more built-in tools would also improve the overall experience.
For our use case, I would appreciate out-of-the-box integrations with commonly used data ecosystem tools and built-in monitoring and observability capabilities for SingleStore. The dashboards could be more intuitive for performance tracking, query optimization insights, and overall administrative management. This would make our day-to-day operations easier, allowing us to gain more insights and use SingleStore better with improved visibility on ongoing processes.
For how long have I used the solution?
I have been using SingleStore for the past three years.
What do I think about the stability of the solution?
SingleStore is quite stable in my experience; we have faced some recent issues, but it handles large workloads and maintains consistent performance very well overall without any major stability issues.
What do I think about the scalability of the solution?
SingleStore scales very well. As our data volumes grow, we can expand resources without significant performance degradation. It efficiently manages growing datasets and higher query loads.
How are customer service and support?
I am not much aware of customer support for SingleStore, as I have not had the chance to interact directly. However, I have heard that the support team is responsive and very helpful in addressing and troubleshooting issues.
Which solution did I use previously and why did I switch?
I cannot specify the previous solution we used before SingleStore, but I have shared the benefits and improvements we have experienced with SingleStore. Due to the increased data volumes, we needed a strong solution, and SingleStore meets all our requirements.
How was the initial setup?
I cannot share much about how SingleStore is deployed due to company policy.
What about the implementation team?
As a developer, I am not fully aware of the exact setup costs or licensing details; my focus is more on the implementation aspects at the developer level.
What was our ROI?
I cannot directly comment on money saved or fewer employees needed, but from a developer's perspective, I see a positive impact in query performance and real-time analytics during data processing. The efficiency has increased significantly, and our workflows are consolidated into a single platform, thus reducing the operational overhead we previously faced. I am not certain about exact financial metrics, but there are clear improvements in productivity and operational efficiency.
What's my experience with pricing, setup cost, and licensing?
I cannot share much about how SingleStore is deployed due to company policy.
Which other solutions did I evaluate?
I am not entirely certain about the options we evaluated; I believe we considered Hive and other data platform options. However, we were focused on large-scale data processing and, when comparing performance and scalability, SingleStore stood out due to its strong query performance and ability to support multiple workloads on a single platform.
What other advice do I have?
Others looking into using SingleStore can definitely benefit from it. I would rate this review an 8 out of 10.
reviewer2796066
Search performance has improved for users, but monitoring integration still needs work
Reviewed on Apr 09, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for SingleStore is for our data retention and load management. We have infrastructure wherein the user's data are used for quick search, which means the searching functionality in our app is being handled with the help of SingleStore so that the searches are quick and easy for the users.
I decided on SingleStore for this use case because previously we were using AWS-related functionality, specifically EC2 instances, but those were not working well. I switched to SingleStore for the flexibility and infrastructure they provide, and it has helped us considerably.
What is most valuable?
The best features SingleStore offers in my experience are the excellent team support and the very good UI.
What makes the support stand out to me is that the UI is interactive and intuitive for first-time users. The team is also good at resolving issues, and I can reach out to them directly by creating a ticket whenever I face any issues.
SingleStore has impacted my organization positively because the output and performance of the app have been improved. I measured that improvement through both faster search time and better user experience based on customer reviews.
What needs improvement?
I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good. The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
For how long have I used the solution?
I have been working in my current field for three years.
What do I think about the stability of the solution?
SingleStore is reasonably stable.
How are customer service and support?
SingleStore offers good team support and their UI is interactive for first-time users. Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
Which solution did I use previously and why did I switch?
I did not previously use a different solution; SingleStore is the first solution which we implemented.
How was the initial setup?
I did not purchase SingleStore through the AWS Marketplace. My experience with pricing, setup cost, and licensing is good.
What was our ROI?
I have seen a return on investment in terms of time saved.
What other advice do I have?
The advice I would give to others looking into using SingleStore is that it is a good tool. The customer support is great. The integrations can sometimes be a problem that needs to be checked.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Kelvin Ben
Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data
Reviewed on Mar 08, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for SingleStore is real-time analytics and data storage and serving for my ML workloads. It enables me to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone.
One specific example of how I use SingleStore for one of my model-driven use cases is as a data warehouse for fintech, which processes payments through TC worldwide. The integration with Azure Data Factory occurred without complications. It helps me in an excellent way since I am very fast in obtaining the data for my dashboards. Additionally, the compression of the information is accurate.
Regarding my main use cases with SingleStore, I think it is very useful for managing information for business intelligence processes and processing. Given that the information is brought quickly, it processes correctly when loaded into the dashboard.
What is most valuable?
The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate.
Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently.
I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great.
SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality.
Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.
What needs improvement?
SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS . Also, error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
I would like to add that we need to know what the roadmap of SingleStore is.
An additional improvement needed is that the semantic layer can be better. Currently, it requires significant development experience to fine-tune queries.
For how long have I used the solution?
I have been using SingleStore for six years and some few months.
What do I think about the stability of the solution?
SingleStore is stable as I find it extremely stable. I have not seen any downtime.
What do I think about the scalability of the solution?
SingleStore's scalability is high and it can be used by any size of organization and can handle any needs of any organization.
How are customer service and support?
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I previously used a different solution, which was Oracle database.
I switched from Oracle to SingleStore because SingleStore outperforms based on my analysis with simple data sets within my organization.
What was our ROI?
I have seen a return on investment as real-time compute reduces the hassle of fine-tuning required, but it is minimal compared to other tools like Oracle or other RDBMS . Primarily, it was not client-focused. It was used for large enterprises with a significant amount of real-time data generation. The objective was to scale as data loads with high-performing query model responses.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups, but for my organization, the cost is affordable and cost-effective.
Which other solutions did I evaluate?
Before choosing SingleStore, I evaluated other options such as PostgreSQL .
What other advice do I have?
My advice to others looking into using SingleStore is that it is extremely good for scenarios where large sets of data are generated in a day and the data is streamed. If you would like to run queries and analytics on such data, it would really scale and outperform TimesDB or Oracle in-memory options.
Before we wrap up, I have additional thoughts about SingleStore, stating it is a great tool that is very cost-effective. It shines as a unified solution for high OLTP and OLAP workloads. I rate this product a nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Satwik L.
Singlestore is best in market compared to Google's Bigquery
Reviewed on Sep 12, 2024
Review provided by G2
What do you like best about the product?
I like the scalability, versatililty in the product with architecture itself which can be used for multi models.
What do you dislike about the product?
I feel singlestore is not beginner friendly as early stage developer in AI era.
What problems is the product solving and how is that benefiting you?
SingleStore is best when I am creating saas applications for modern scaling architecture, multitenancy and easily customisable products.
Sam P.
SingleStore speeds up my daily workflow
Reviewed on Mar 10, 2024
Review provided by G2
What do you like best about the product?
I use Singlestore daily, and it has great features. Their docs are very thorough, which makes it easy to find answers to question. Their support is very responsive.
What do you dislike about the product?
Some of things inherent with the implementation of SingleStore make some tasks tedious, such as updating an enum column.
What problems is the product solving and how is that benefiting you?
SignleStore allows our users to get data fast. The MySql flavor it uses makes it easy for us to query the data and find insights quickly. It also allows us to ingest massive amount of data quickly.