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SingleStore’s Key Advantages Over MongoDB
Real Time
Fresh data for business decisions and in-product analytics for end users
Best of SQL and NoSQL
Structured and semi-structured data in one database
Generative AI on JSON Data
Run vector and semantic searches with dot_product and euclidean_distance on JSON data.
| Overview | Select... | |
|---|---|---|
Description | Built for fast ingest, high concurrency, low latency queries to help you transact, analyze and contextualize data in real time. Available in the cloud, on Kubernetes or on-premises. | Document-oriented database that stores your records as key-value pairs. |
Database Model | Relational DBMS | Non-relational or NoSQL |
DBaaS Offering | SingleStore Helios | MongoDB Atlas |
| Flexible Data Model | ||
Data Model | Multi-model: SQL for CRUD; Support for vector search, full text, time-series and geospatial data. SingleStore Kai™ for MongoDB® achieves 100x-1,000x faster analytics for MongoDB apps. | Document-oriented NoSQL model lacks the relational set of capabilities required for analytics |
| Performance | ||
Analytical Performance | 100x faster analytics with no query or application changes | Data typically needs to be moved to another database for analytics, which can be costly and time-consuming. It also requires writing queries in a different language. |
| Scalability | ||
Architecture | Scale-out architecture efficiently and quickly responds to growing workloads leveraging commodity hardware — without add-ons or specialized tuning expertise. | Offers secondary indexes; however,the indexes don't scale with sharding and the system is suboptimal at loading large amounts of random data, as the underlying file format is not truly efficient. |
| Cost-Effectiveness | ||
Total Cost of Ownership (TCO) | Transparent pricing model with a simple, single-product subscription for all of your workloads which is easy to manage and patch, and delivers maximum performance on a familiar SQL data model at a reasonable cost | Additional costs for OLAP database and ETL tooling required to prepare and move data for analytics and machine learning use cases. |
Get Started | ||
Make the Switch Today | Start for FREE or learn more and Book a Demo today. | |
Customer Success
SingleStore is Trusted by The World’s Top Brands
Improve Grid Availability
Reduced time from event creation to dashboard insights with HDFS real-time ingestion and faster query processing
Broadened Data Access
Familiar relational SQL of SingleStore expanded usability of HDFS data by more team members for ad hoc queries and standard BI tools
Deeper Insights
Scalable platform supported high-performance joins of additional data sources providing new insights previously not available
