DynoTable vs DataGrip

DataGrip added DynamoDB data browsing in 2026, so it can connect to a table, browse and edit items, and run the subset of PartiQL that DynamoDB supports. DynoTable is purpose-built for DynamoDB instead: a SQL Workbench that runs JOINs, GROUP BY and aggregates within DynamoDB's access-pattern rules, plus an AI agent on your own AWS account. This page compares the two factually as DynamoDB clients.

Feature	DynoTable	DataGrip
Purpose-built for DynamoDB	Yes	Relational-first
Browse & edit DynamoDB items	Yes	Yes
PartiQL query editor	Yes	Yes
SQL JOINs, GROUP BY & aggregates	Yes	No
Smart Tables (visual joined views)	Yes	No
Visual query/scan builder	Yes	PartiQL only
AI agent on your own AWS Bedrock keys	Yes	No
Connect external AI agents (MCP), staged review	Yes	No
Works offline (DynamoDB Local)	Yes	Yes
Pricing	From $9/mo	From $9/mo

Is DynoTable a DataGrip alternative for DynamoDB?

Yes, for the DynamoDB half of the job. DataGrip is JetBrains' IDE for relational and NoSQL databases; DynamoDB is one of roughly twenty it connects to. DynoTable does one database — DynamoDB — and builds the querying, editing and AI workflow around its real access patterns rather than a JDBC layer. If DynamoDB is the database you live in every day, that focus is the difference.

What DataGrip does, and doesn't do, with DynamoDB

In 2026 DataGrip added DynamoDB support: you connect to a table, browse and edit items in the data editor, and query with the subset of PartiQL that DynamoDB supports — including against a local jdbc:dynamodb://localhost:8000 instance. For viewing and light editing it works.

Where it stops is relational querying. DynamoDB's PartiQL is single-table: a SELECT with an optional WHERE and ORDER BY, and SIZE as its only aggregate. DataGrip runs your query through that subset rather than adding a DynamoDB-aware query planner, so there is no JOIN, no GROUP BY and no COUNT/SUM/AVG across your tables. DataGrip is relational-first; it treats DynamoDB as another JDBC source, not as a database with its own key and GSI model.

Why DynoTable: SQL within DynamoDB's access-pattern rules

The headline difference is the SQL Workbench. Querying DynamoDB through its PartiQL subset lets you filter and scan a single table; it can't join two tables, group rows, or compute aggregates, because DynamoDB has no relational query engine underneath.

DynoTable's SQL Workbench compiles SQL — INNER/LEFT JOIN, GROUP BY, COUNT, SUM and friends — down to DynamoDB's real Query/Scan operations on the client. You write relational-shaped SQL; DynoTable plans it against your keys and GSIs, so it stays within DynamoDB's access-pattern rules rather than pretending the table is a relational database. The PartiQL vs SQL guide explains exactly where DynamoDB's PartiQL stops and how the Workbench fills the gap.

The AI assistant runs in your own AWS account

DynoTable's other flagship is an agentic AI assistant: it reads your DynamoDB schema, writes PartiQL and SQL Workbench queries, and stages edits for you to approve before anything is written. Crucially, it runs on your own AWS Bedrock credentials — prompts, schema and table rows talk directly to Bedrock in your AWS account and never pass through a DynoTable server, with inference billed to your AWS at Bedrock's rates and no markup. See the AI chat docs for setup, models and the per-action permission model. DynoTable can also expose those same tools to external AI agents over MCP, still gated behind staged review.

How to switch from DataGrip

Download DynoTable for macOS, Windows or Linux and install it.
Add a connection with the same AWS profile or access keys you use in DataGrip — DynoTable reads your standard AWS credential chain, nothing DynoTable-specific.
Point it at the same region and tables; your data stays in DynamoDB, so there's nothing to migrate.
Open the SQL Workbench and run a query DynamoDB's PartiQL can't express — a JOIN across two tables or a GROUP BY aggregate.

See pricing for the current plans.

FAQ

Does DataGrip support DynamoDB?

Yes. DataGrip added DynamoDB data browsing in 2026, so you can connect to a table, view and edit items, and run the subset of PartiQL that DynamoDB supports. What it does not add is JOINs, GROUP BY or aggregate functions across DynamoDB tables, because it queries through that PartiQL subset rather than a DynamoDB-native query planner.

Can DynoTable run SQL against DynamoDB?

Yes. DynoTable's SQL Workbench compiles SQL — including INNER/LEFT JOIN, GROUP BY and aggregates — down to DynamoDB's real Query/Scan operations, so it stays within DynamoDB's access-pattern rules.

Browse the full comparison hub for every DynoTable alternative.
Prefer a native client with a relational feel? See the TablePlus comparison.
See also DynoTable as a DynamoDB GUI and the Dynobase comparison.
Build queries fast with the free DynamoDB Expression Builder.

Last verified 2026-07-06. DataGrip is a trademark of JetBrains s.r.o.; referenced here for identification only.