Business Intelligence · head to head
Mode vs PlanetScale

PlanetScale
Database & Data Management
The MySQL-compatible serverless database
- From
- $15/month
- Rated
- -
The short version
- Only Mode has a free tier, so it costs nothing to try first.
- Each has a real cost: Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets; PlanetScale eBS High Availability requires 3-node configuration with replication overhead
- They diverge on capability: Mode covers SQL Editor, PlanetScale covers Database Branching.
Where they differ
Only the attributes on which Mode and PlanetScale actually diverge.
| Attribute | Mode | PlanetScale |
|---|---|---|
| Starting price | Free | $15/month |
| Free tier | Yes | No |
| Platforms | Web | Cloud-hosted (AWS, GCP, Azure) |
| Category | Business Intelligence | Database & Data Management |
| Founded | 2013 | 2018 |
Identical on both: pricing model (subscription), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
Only in PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Mode
- Self-service analyticsnot PlanetScale
- Data explorationnot PlanetScale
- Ad-hoc reportingnot PlanetScale
- Collaborative analysisnot PlanetScale
- Embedded analyticsnot PlanetScale
PlanetScale
- MySQL database hosting with automatic failover and replicationnot Mode
- Vitess-based sharding for horizontal scaling across large datasetsnot Mode
- Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot Mode
- Cost-effective database clusters using ARM64 architecture optionsnot Mode
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
PlanetScale
- EBS High Availability requires 3-node configuration with replication overhead
- EBS Non-HA single-node option lacks redundancy and automatic failover
- Pricing varies by cloud provider and region, requiring queries for specific rates
- ARM64 architecture only available on EBS tier, not Metal deployments
Pricing, plan by plan
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
PlanetScale
$15/monthNo published plan breakdown. See the PlanetScale review.
Which should you pick?
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Choose PlanetScale if
- You need database branching.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Questions people ask
- Is Mode or PlanetScale better?
- Neither clearly leads. Mode starts at Free and PlanetScale at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Mode or PlanetScale?
- Mode has a free tier; the other does not. Paid plans start at Free for Mode and $15/month for PlanetScale.
- Does Mode or PlanetScale run on more platforms?
- Mode runs on Web. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- Can I use Mode for free?
- Yes. Mode has a free tier, so you can try it without paying. PlanetScale starts at $15/month.
- What is Mode best used for?
- Mode is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what PlanetScale is typically brought in for.
- What can Mode do that PlanetScale cannot?
- Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Both handle Web support.
Answered from the vendors’ own pages
Mode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
SourceRelated pages
More on PlanetScale
Other head to heads
- Mode vs Amazon QuickSight
- Mode vs Power BI
- Mode vs Sisense
- Mode vs MicroStrategy
- Mode vs Qlik Sense
- Mode vs Domo
- Mode vs GoodData
- Mode vs ThoughtSpot
- Mode vs Google Data Studio
- Mode vs IBM Cognos Analytics
- Mode vs Periscope Data
- Mode vs Baremetrics
- Mode vs Celonis
- Mode vs Chartio
- Mode vs ChartMogul
- Mode vs Cyfe
- Mode vs Databox
- Mode vs Dundas BI
- Mode vs Cockroach Labs
- Mode vs PostgreSQL
- Mode vs Airtable
- Mode vs Amazon Aurora
- Mode vs Elasticsearch
- Mode vs Azure SQL
- Mode vs ClickHouse
- Mode vs Couchbase
- Mode vs DuckDB
- Mode vs DynamoDB
- Mode vs MariaDB
- Mode vs Oracle Database
- Mode vs Amazon RDS
- Mode vs Amazon Redshift
- Mode vs Apache Druid
- Mode vs Cassandra
- Mode vs CouchDB
- Mode vs Firebolt
- PlanetScale vs Amazon QuickSight
- PlanetScale vs Power BI
- PlanetScale vs Sisense
- PlanetScale vs MicroStrategy
- PlanetScale vs Qlik Sense
- PlanetScale vs Domo
- PlanetScale vs GoodData
- PlanetScale vs ThoughtSpot
- PlanetScale vs Google Data Studio
- PlanetScale vs IBM Cognos Analytics
- PlanetScale vs Periscope Data
- PlanetScale vs Baremetrics
- PlanetScale vs Celonis
- PlanetScale vs Chartio
- PlanetScale vs ChartMogul
- PlanetScale vs Cyfe
- PlanetScale vs Databox
- PlanetScale vs Dundas BI
- PlanetScale vs Cockroach Labs
- PlanetScale vs PostgreSQL
- PlanetScale vs Airtable
- PlanetScale vs Amazon Aurora
- PlanetScale vs Elasticsearch
- PlanetScale vs Azure SQL
- PlanetScale vs ClickHouse
- PlanetScale vs Couchbase
- PlanetScale vs DuckDB
- PlanetScale vs DynamoDB
- PlanetScale vs MariaDB
- PlanetScale vs Oracle Database
- PlanetScale vs Amazon RDS
- PlanetScale vs Amazon Redshift
- PlanetScale vs Apache Druid
- PlanetScale vs Cassandra
- PlanetScale vs CouchDB
- PlanetScale vs Firebolt

