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Database & Data Management · head to head

DynamoDB vs Mode

DynamoDB logo

DynamoDB

Database & Data Management

Fast, flexible NoSQL database service for any scale

From
On request
Rated
-
Full reviewWebsite
Mode logo

Mode

Business Intelligence

Collaborative analytics for data teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Mode has a free tier, so it costs nothing to try first.
  • Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
  • They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, Mode covers SQL Editor.

Where they differ

Only the attributes on which DynamoDB and Mode actually diverge.

Attributes where DynamoDB and Mode differ
AttributeDynamoDBMode
Starting priceOn requestFree
Pricing modelusage-basedsubscription
Free tierNoYes
PlatformsAWSWeb
CategoryDatabase & Data ManagementBusiness Intelligence
Founded20062013

Identical on both: 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 DynamoDB

  • Single-digit Millisecond Latency
  • Serverless
  • Auto-scaling
  • Global Tables
  • Point-in-time Recovery
  • Encryption
  • Streams
  • Lambda

Only in Mode

  • SQL Editor
  • Python/R Notebooks
  • Interactive Reports
  • Version Control
  • Scheduling
  • Snowflake
  • Redshift
  • BigQuery

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

DynamoDB

  • High-scale, variable-workload applicationsnot Mode
  • Mobile and IoT device backendsnot Mode
  • Real-time analytics and dashboardsnot Mode
  • Multi-region, globally distributed applicationsnot Mode

Mode

  • Self-service analyticsnot DynamoDB
  • Data explorationnot DynamoDB
  • Ad-hoc reportingnot DynamoDB
  • Collaborative analysisnot DynamoDB
  • Embedded analyticsnot DynamoDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DynamoDB

  • NoSQL-only; does not support complex relational queries or SQL joins
  • Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries

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

Pricing, plan by plan

DynamoDB

On request

No published plan breakdown. See the DynamoDB review.

Mode

Free
  • FreeFree
    • SQL Editor
    • Python/R Notebooks
    • Basic Charts
  • Business$65/month
    • Advanced Visualizations
    • Collaboration
    • Integrations

Which should you pick?

Choose DynamoDB if

  • You need single-digit millisecond latency.
  • You work on AWS.
  • You also want serverless.
DynamoDB review

Choose Mode if

  • You need sql editor.
  • You want to start without paying.
  • You also want python/r notebooks.
Mode review

Questions people ask

Is DynamoDB or Mode better?
Neither clearly leads. DynamoDB starts at On request and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Mode?
Mode has a free tier; the other does not. Paid plans start at On request for DynamoDB and Free for Mode.
Does DynamoDB or Mode run on more platforms?
DynamoDB runs on AWS. Mode runs on Web.
Can I use Mode for free?
Yes. Mode has a free tier, so you can try it without paying. DynamoDB starts at On request.
What is DynamoDB best used for?
DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what Mode is typically brought in for.
What can DynamoDB do that Mode cannot?
DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. 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.

Source
Mode: 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.

Source
Mode: 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.

Source
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