Databases · head to head
DataGrip vs DynamoDB

DataGrip
Databases
Cross-platform database IDE from JetBrains for SQL and NoSQL databases
- From
- Free
- Rated
- -

DynamoDB
Databases
AWS-only managed key-value and document database with fixed per-partition throughput limits and no ad hoc queries.
- From
- Free
- Rated
- -
The short version
- Each has a real cost: DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.; 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.
- They diverge on capability: DataGrip covers Intelligent SQL Completion, DynamoDB covers Managed and serverless.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DataGrip and DynamoDB actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 DataGrip
- Intelligent SQL Completion
- Schema Navigation
- Data Editor
- Version Control for Scripts
- Multi-database Support
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.
DataGrip
- Writing and running SQL queries across multiple database enginesnot DynamoDB
- Browsing and editing schema and table data visuallynot DynamoDB
- Version-controlling database migration scriptsnot DynamoDB
- Standardizing database tooling across a JetBrains-based teamnot DynamoDB
DynamoDB
- High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot DataGrip
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot DataGrip
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot DataGrip
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot DataGrip
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DataGrip
- Commercial use requires a paid subscription; the free tier is non-commercial only.
- No built-in database administration features like backup scheduling found in dedicated DBA tools.
- Heavier resource footprint than lightweight single-purpose SQL clients.
- NoSQL support (e.g. MongoDB) is less mature than its relational database tooling.
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
DataGrip
Free- Free (non-commercial)Free
- Personal, non-commercial use only
- Individual - Year 1$99/year
- Full DataGrip license
- Free updates during subscription
- Individual - Year 2+$79/year
- Continuity discount from second year onward
DynamoDB
Free- On-Demand Capacity$null/usage-based
- 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 Capacity$null/hourly
- 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 DataGrip if
- You need intelligent sql completion.
- You want to start without paying.
- You work on windows, mac, linux.
- You also want schema navigation.
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 DataGrip or DynamoDB better?
- Neither clearly leads. DataGrip 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, DataGrip or DynamoDB?
- DataGrip starts at Free and DynamoDB at Free.
- Does DataGrip or DynamoDB run on more platforms?
- DataGrip runs on windows, mac, linux. DynamoDB runs on AWS.
- Can I use DataGrip for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DataGrip best used for?
- DataGrip is most often used for writing and running sql queries across multiple database engines, browsing and editing schema and table data visually, version-controlling database migration scripts, standardizing database tooling across a jetbrains-based team. Of those, writing and running sql queries across multiple database engines and browsing and editing schema and table data visually are not what DynamoDB is typically brought in for.
- What can DataGrip do that DynamoDB cannot?
- DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts. DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes.
Answered from the vendors’ own pages
DataGrip: Is DataGrip free for personal use?
JetBrains introduced a free non-commercial license for DataGrip in October 2025, allowing personal use, while commercial use still requires a paid annual or monthly subscription.
SourceDynamoDB: 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.
DataGrip: Who qualifies for the free non-commercial license?
Only individuals are eligible, for uses like learning, open-source work, or content creation. Anyone paid by an employer, including at a non-profit, must use a commercial license instead.
SourceDynamoDB: 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.
DataGrip: How long does the free non-commercial license last?
It lasts one year and auto-renews if DataGrip was used at least once in the final six months; otherwise you can simply reapply for a new license.
SourceDynamoDB: 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.
DataGrip: Does the free license have fewer features than the paid version?
No, it is a full-featured IDE identical to the paid version, though it requires anonymized telemetry sharing that cannot be opted out of under the non-commercial agreement.
SourceDynamoDB: 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.
DataGrip: Can I use DataGrip offline with the free license?
No, activation requires logging into a JetBrains Account; offline activation codes are not available for the free non-commercial license.
SourceDynamoDB: 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.
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