No-Code · head to head
Directual vs DynamoDB

Directual
No-Code
No-code backend with a visual workflow engine, used behind other tools rather than instead of them
- From
- Free
- Free plan
- Yes

DynamoDB
Databases
AWS-only managed key-value and document database with fixed per-partition throughput limits and no ad hoc queries.
- From
- Free
- Free plan
- Yes
The short version
- Directual is free; DynamoDB starts at $0.625/mo.
- Only Directual lists visual database designer; only DynamoDB lists managed and serverless.
- Where Directual falls short: self-hosting is confined to the top commercial tier, so the ownership advantage is available only to buyers already spending at the high end.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Directual and DynamoDB actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Directual.
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 Directual
- Visual database designer
- Scenario builder
- Generated API endpoints
- Event-driven triggers
- Role and permission model
- Scheduled jobs
- Basic web page builder
- Self-hosted deployment
Only in DynamoDB
- Managed and serverless
- Predictable latency
- On-demand or provisioned capacity
- Global secondary indexes
- Transactions
- DynamoDB Streams
- Global tables
- Point-in-time recovery
What people use each for
The jobs each tool is most often brought in to do.
Directual
- Providing the backend for a Webflow or FlutterFlow front end that needs real data, authentication and logicnot DynamoDB
- Replacing an Airtable base that has outgrown its row limits without hiring a backend developernot DynamoDB
- Event-driven workflows such as order processing or scheduled billing runs that must run without a person triggering themnot DynamoDB
- Organisations with a data residency requirement that rules out most no-code platforms, using the self-hosted tiernot DynamoDB
DynamoDB
- High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot Directual
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Directual
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Directual
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Directual
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Directual
- The front-end builder is basic, so any project needing a designed interface means learning and paying for a second tool, and time to launch is closer to a two-system build than a one-tool build
- Visual scenarios become unreadable once the logic is non-trivial; a workflow that would be forty lines of code sprawls across a canvas, and reviewing what a colleague built is slow
- Debugging asynchronous, event-triggered scenarios is harder than debugging code, because failures surface as records left in an unexpected state rather than as a stack trace at the point of failure
- Self-hosting is confined to the top commercial tier, so the ownership advantage is available only to buyers already spending at the high end
- The pool of agencies and freelancers who know Directual is small next to Bubble or Airtable, so handing a finished system to someone else to maintain is harder and more expensive
DynamoDB
- Access patterns must be designed into the key schema before launch; a query nobody anticipated needs a new global secondary index, which is a full extra copy of the projected attributes billed as storage and as writes, or an offline migration
- Global secondary indexes are eventually consistent and cannot be read strongly, so a read-after-write against an index can legitimately miss the item that was just written, and application code must be written to tolerate that
- Per-partition throughput is capped at roughly 3,000 read and 1,000 write units, so a hot key throttles even when the table has spare capacity overall, and the only real fix is changing the key design to spread the load
- Items are limited to 400 KB and query results paginate at 1 MB, so large or list-shaped data has to be split, offloaded to S3 with a pointer, or read through pagination loops that complicate every consumer
- It runs only on AWS and the API is proprietary rather than a standard, so moving the data layer means rewriting it; ScyllaDB's Alternator is the only meaningfully compatible target and it brings a much smaller ecosystem
Pricing, plan by plan
Directual
Free- DirectualOn request
- Free tier with capped records and API calls
- Paid tiers priced by database rows, API calls and scenario runs
- Self-hosted deployment on the top tier only
DynamoDB
Free- On-Demand CapacityOn request
- Pay-per-request pricing with automatic scaling
- Read: 0.5 RRU per 4 KB (eventually consistent), 1 RRU per 4 KB (strongly consistent), 2 RRU per 4 KB (transactional)
- Write: 1 WRU per 1 KB
- Provisioned CapacityOn request
- Fixed hourly charges based on reserved capacity
- RCU rate: $0.00013 per hour (Standard)
- WCU rate: $0.00065 per hour (Standard)
- Standard Table Class Storage$0.25/per gb/month
- $0.25 per GB/month after free tier
- First 25 GB free per month (free tier)
- Standard-Infrequent Access Table Class$0.1/per gb/month
- $0.10 per GB/month
Which should you pick?
Choose Directual if
- You need visual database designer.
- You want to start without paying.
- You also want scenario builder.
Choose DynamoDB if
- You need managed and serverless.
- You want to start without paying.
- You work on AWS.
- You also want predictable latency.
Questions people ask
- Is Directual or DynamoDB better?
- Neither clearly leads. Directual starts at Free and DynamoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Directual or DynamoDB?
- Directual starts at Free and DynamoDB at Free.
- Does Directual or DynamoDB run on more platforms?
- Directual runs on Web. DynamoDB runs on AWS.
- Can I use Directual for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Directual best used for?
- Directual is most often used for providing the backend for a webflow or flutterflow front end that needs real data, authentication and logic, replacing an airtable base that has outgrown its row limits without hiring a backend developer, event-driven workflows such as order processing or scheduled billing runs that must run without a person triggering them, organisations with a data residency requirement that rules out most no-code platforms, using the self-hosted tier. Of those, providing the backend for a webflow or flutterflow front end that needs real data, authentication and logic and replacing an airtable base that has outgrown its row limits without hiring a backend developer are not what DynamoDB is typically brought in for.
- What can Directual do that DynamoDB cannot?
- Directual covers Visual database designer, Scenario builder, Generated API endpoints, Event-driven triggers. DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes.
Answered from the vendors’ own pages
Directual: Is Directual a replacement for Bubble?
Not directly. Bubble builds the whole application; Directual builds the backend and expects you to bring a front end such as Webflow or FlutterFlow.
DynamoDB: On-demand or provisioned capacity?
On-demand suits unpredictable or spiky traffic and removes capacity planning. Provisioned with autoscaling is considerably cheaper for steady high-volume workloads. Tables can be switched between them, though not arbitrarily often.
Directual: Can I host it myself?
Yes, on the top commercial tier. That is unusual in no-code and it is the main reason regulated buyers look at it at all.
DynamoDB: Can I run DynamoDB outside AWS?
No. DynamoDB Local exists for development and testing only. For a production-compatible alternative elsewhere, ScyllaDB's Alternator implements the DynamoDB API, but it is a different system with a different ecosystem.
Directual: How does it cope with large data volumes?
It is built on a real database with indexing rather than a spreadsheet abstraction, so record counts that break Airtable-class tools are within its normal range.
DynamoDB: Can I run ad hoc queries or analytics?
Not on the table itself. Scans are slow and expensive at scale. The usual pattern is to export to S3 or stream changes out and query them in Athena, Redshift or another analytical engine.
Directual: What happens to my logic if I leave?
The data exports and the API is documented, but scenarios are platform-specific and have to be reimplemented, unless you are already on the self-hosted tier.
DynamoDB: Is single-table design necessary?
It is the pattern that gets the most from DynamoDB when access patterns are well known, because it lets related items be retrieved in one query. It also makes the model harder to evolve, so many teams reasonably choose multiple simpler tables and accept extra requests.
DynamoDB: What are the real limits I should design around?
400 KB per item, 1 MB per query or scan page, 100 items per transaction, roughly 3,000 read and 1,000 write units per partition, and eventual consistency on global secondary indexes.
Related pages
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- DynamoDB vs Bubble
- DynamoDB vs Quickbase
- DynamoDB vs Zoho Creator
- DynamoDB vs WeWeb
- DynamoDB vs Caspio
- DynamoDB vs FlutterFlow
- DynamoDB vs Momen
- DynamoDB vs Stacker
- DynamoDB vs Mendix
- DynamoDB vs Appian
- DynamoDB vs Whalesync
- DynamoDB vs Corteza
- DynamoDB vs OutSystems
- DynamoDB vs Lovable
- DynamoDB vs Noloco
- DynamoDB vs Superblocks
- DynamoDB vs ToolJet
- DynamoDB vs Draftbit
- DynamoDB vs MongoDB
- DynamoDB vs Elasticsearch
- DynamoDB vs Cassandra
- DynamoDB vs BigQuery
- DynamoDB vs FaunaDB
- DynamoDB vs Memcached
- DynamoDB vs ScyllaDB
- DynamoDB vs PlanetScale
- DynamoDB vs Couchbase
- DynamoDB vs DataGrip
- DynamoDB vs Firebase Realtime Database
- DynamoDB vs Microsoft SQL Server
- DynamoDB vs QuestDB
- DynamoDB vs Vitess
- DynamoDB vs Aiven
- DynamoDB vs CouchDB
- DynamoDB vs Google Cloud SQL
- DynamoDB vs CosmosDB
