MongoDB Atlas vs SingleStore
A detailed comparison to help you choose between MongoDB Atlas and SingleStore.
Quick Verdict
4.1/5
MongoDB Atlas
0 reviews
3.8/5
SingleStore
0 reviews
MongoDB Atlas is rated higher (4.1 vs 3.8). MongoDB Atlas is the managed cloud version of MongoDB. Available on AWS, GCP, and Azure. Full-text search, vector search, time-series collections, and usage-priced Flex tiers. Free M0 cluster forever. SingleStore (formerly MemSQL) is a cloud-native database combining OLTP and OLAP in a single system. Handles real-time analytics and transactions without ETL. Used by financial services and gaming companies.
MongoDB Atlas The cloud database for modern apps | SingleStore Real-time analytics and transactions in one database | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (0 reviews)✓ | 3.8 (0 reviews) |
| Pricing model | freemium | usage-based |
| Starting price | Free tier available | Free tier available |
| Best for | Application-first teams that want production MongoDB with multi-AZ resilience and no DBA, plus developers who want a free tier that can grow into paid tiers. | Teams with genuinely mixed transactional and analytical workloads — fraud, risk, adtech, IoT, live gaming — that need sub-second freshness and want to retire a separate warehouse and sync pipeline. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | ["AWS", "Google Cloud", "Microsoft Azure"] | — |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access | free tiermanaged optioneu datacenterus datacenterapi access |
| Visit MongoDB Atlas → | Visit SingleStore → | |
MongoDB Atlas
Pros
- + Genuinely useful free M0 tier (512MB forever) with the same drivers and code path as production
- + Multi-cloud: 125+ regions across AWS, Google Cloud, and Azure, with cross-region and cross-provider node placement
- + Automated operations: three-node cross-AZ replica sets, failover, patching, point-in-time recovery, storage auto-scaling
- + 99.995% uptime SLA on Dedicated tiers with clearly documented exclusions and service-credit ladder
- + Integrated full-text and vector search, time-series collections, and Terraform/API automation
Cons
- - Per-node billing: a production replica set triples the advertised node price; sharded clusters multiply again
- - Backups on Dedicated, egress, search add-ons, and support are billed separately — invoice drift is common
- - No SLA and no continuous backups on Free or Flex; M0 cannot be resized into a paid cluster
- - Proprietary add-ons (Atlas Search, Vector Search, Data Federation) create soft lock-in
SingleStore
Pros
- + Transactions and analytics in one engine — no ETL pipeline between an operational database and a warehouse
- + Published, itemised rate card: workspace sizes, credit burn, storage tiers and every multiplier are public
- + Genuine free evaluation tier plus $500 of credits on Standard
- + MySQL-compatible wire protocol shortens migration from MySQL-based stacks
- + Documented compliance posture (ISO 27001, SOC 2 Type 2, HIPAA, CCPA, GDPR) and a BYOC option for data residency
Cons
- - Stacking multipliers (Enterprise 1.5x, Multi-AZ 1.3x, region tier, scaling) make real bills hard to predict from headline prices
- - Distributed-engine concepts (shard keys, distribution, reference tables) are overkill for simple CRUD applications
- - Free Shared tier is explicitly non-production and self-support only
- - Self-managed licensing and BYOC/Dedicated pricing require a sales conversation
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