MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
SingleStore
Score 9.8 out of 10
N/A
SingleStore aims to deliver the world’s fastest distributed SQL database for data-intensive applications: SingleStoreDB, which combines transactional + analytical workloads in a single platform.
$0.69
per hour
Pricing
MongoDB
SingleStore
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
OnDemand
$0.69
per hour
Offerings
Pricing Offerings
MongoDB
SingleStore
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Fully managed, global cloud database on AWS, Azure, and GCP
SingleStore provides a solution for working with larger amount of data (vs. MySQL) with better performance (vs. BigQuery) without having to preprocess the data (vs. MongoDB), so basically it does better for specific use cases.
SingleStore outperformed both MongoDB and PostgreSQL for OLAP workloads. Its ability to shard data and handle parallel processing of SQL "JOIN" queries across shards is a game changer.
We knew early on that MySQL (Amazon Aurora) would not be suitable for this workload as it cannot query our time series data as fast as SingleStore. We also use MongoDB Atlas for another application but we could not achieve the raw speed we saw from SingleStore. Our technical …
It seems that SingleStore is good at being able to handle complex queries against large datasets out of the box. In the past, we've had to do quite a bit of manual configuration and database performance tuning, but SingleStore (so far) has seemed to require minimal …
I guess the main difference is how the memory is used for stacking and storing data until it reaches the final destination, the performance is awesome compared with others and when you have a real time business with a certain complexity. The development team would be more …