How do I replicate Dynamo DB data to Databricks?

Sign up for Weld, connect Dynamo DB as a source and Databricks as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.

What Dynamo DB data can I replicate to Databricks?

You can replicate the objects the Dynamo DB connector exposes. The available objects depend on your Dynamo DB account permissions and configuration.

How often does Weld replicate data from Dynamo DB?

Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.

Can I transform Dynamo DB data before it lands in Databricks?

Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.

Is the Dynamo DB to Databricks integration secure?

Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.

Dynamo DB to Databricks integration

Replicate your Dynamo DB data into Databricks with Weld. Automatically replicate the tables you choose from Dynamo DB into Databricks, keeping your analytics layer up to date and ready for querying.

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4.8 on G2

Source

Weld

Warehouse

Weld · New sync

SourceDynamo DBConnected

Tables to sync

Your own tables, picked when you set up the sync.

Extract
Load
Keep in sync

DestinationDatabricksReady

dynamodb schema

dynamodb.Synced
dynamodb.Syncing
dynamodb.Synced
dynamodb.Synced

Trusted by data and AI teams

How it works

How to set up Dynamo DB to Databricks in Weld.
In the app, with the API or an agent.

Setup guide API guide MCP docs

Weld · New Dynamo DB sync

New connectionDynamo DBAuthorised

Connection namedynamodb

AuthorizeOpens Dynamo DB to grant read access

Use cases

Why replicate Dynamo DB to Databricks?
Ready for analysis.

Centralizing your Dynamo DB data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Dynamo DB data directly in Databricks using SQL or your preferred BI tool.

Consolidate data from Dynamo DB alongside other databases and applications in a single cloud data warehouse for a unified analytical layer.

Database replication for analytics
Replicate your Dynamo DB production data to Databricks without impacting database performance. Query historical data without load on your primary database.
Centralized data warehouse
Bring Dynamo DB data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Dynamo DB to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you replicate?
From Dynamo DB to Databricks.

Weld syncs the objects the Dynamo DB connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.

Weld MCP server

Ask your agent.
It queries Databricks for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Dynamo DB context, finds the tables it needs and runs the query in Databricks.

Set up the MCP server

Claude CodeOpus 5

ConnectedWeld MCP

Which Dynamo DB tables do we have in Databricks, and which is the largest?

Looking up what Weld has synced from Dynamo DB.

●weld·search_available_references

⎿raw.dynamodb.*

tables, columns and freshness

●weld·get_reference_schema

⎿columns, types and nullability

●weld·run_query

⎿select count(*) from {{raw.dynamodb.…}}

submitted

●weld·get_query_status

⎿DONE

●weld·get_query_result

⎿rows returned

✓Answered from Dynamo DB data in Databricks

>Ask about your Dynamo DB dataMCP

Under the hood

Technical considerations.
What to expect.

Incremental syncing: Weld uses incremental syncing where supported by the Dynamo DB API, loading only new and updated records to minimize data transfer and warehouse costs.
Change data capture: For Dynamo DB, Weld can use log-based replication (CDC) to capture inserts, updates, and deletes without querying the entire table on every sync.
Schema handling: Weld automatically manages schema changes. If Dynamo DB adds new fields, they're detected and added to the corresponding Databricks tables.
Data freshness: Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security: All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.

Resources

Keep reading.
Guides, docs and schema.

Documentation

Dynamo DB setup guide

How to connect Dynamo DB to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Connector

Dynamo DB connector

Everything Weld does with Dynamo DB.

Connector

Databricks connector

Everything Weld does with Databricks.

FAQ

Common questions.
About Dynamo DB to Databricks.

Start syncing Dynamo DB to Databricks.

Set up your Dynamo DB data pipeline in minutes. No credit card required. Free for 14 days.

Source

Weld

Warehouse

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Related integrations.
More with Dynamo DB and Databricks.

View all

Dynamo DB to Databricks integration

How to set up Dynamo DB to Databricks in Weld.In the app, with the API or an agent.

Why replicate Dynamo DB to Databricks?Ready for analysis.

Database replication for analytics

Centralized data warehouse

Automated reporting

What data can you replicate?From Dynamo DB to Databricks.

Ask your agent.It queries Databricks for you.

Technical considerations.What to expect.

Keep reading.Guides, docs and schema.

Common questions.About Dynamo DB to Databricks.