Live CDC replication

Migrate DynamoDB to
PostgreSQL

Migrate DynamoDB to PostgreSQL with live CDC replication, automatic schema mapping, and zero downtime. Production-ready in minutes, not weeks.

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DynamoDB Streams CDC

Hook into DynamoDB Streams for real-time change data capture. Every Put, Update, and Delete event flows to the SQL target with low latency.

Streams-native

Schema Inference

DynamoDB tables have no fixed schema per item. NoSQLSync samples items across partitions to infer the union schema, detecting all attributes and types.

Smart inference

GSI & LSI Support

Global and Local Secondary Indexes are analyzed and mapped to SQL indexes. Partition keys become primary keys; sort keys become composite keys.

Index mapping

Type Mapping

DynamoDB's S/N/B/BOOL/L/M/NULL types auto-map to SQL: String → TEXT, Number → NUMERIC, Binary → BYTEA, Lists → JSONB, Maps → JSONB.

Full type coverage

Throughput Management

Configurable RCU/WCU limits prevent source throttling. Pause and resume migration to stay within provisioned capacity.

RCU-aware

Zero Downtime Cutover

Dual-write keeps DynamoDB and SQL in sync. Validate data integrity, then cut over with instant rollback.

Safe cutover
How it works

Three steps to PostgreSQL

1
Connect your DynamoDB
Paste your DynamoDB connection string. NoSQLSync detects all collections/tables and samples documents/items to infer the full schema — including nested structures.
2
Review the schema & map columns
Our auto-mapper converts DynamoDB types to PostgreSQL types. Review and adjust: rename columns, change types, flatten nested structures, or use JSON/JSONB for flexible fields.
3
Launch migration & monitor
Click launch. Watch records flow in real time with throughput charts, latency metrics, and error alerts. Enable live CDC to keep your SQL target in sync until cutover.

Type mapping: DynamoDB → PostgreSQL

ObjectId / String IDUUID12-byte identifier becomes a standard UUID
StringTEXT / VARCHAR(n)Configurable max length or unlimited TEXT
Number / IntegerINTEGER / BIGINTNumeric types mapped to appropriate integer types
Double / DecimalDOUBLE PRECISION / NUMERICFloating point or arbitrary-precision
Date / TimestampTIMESTAMP WITH TIME ZONEFull timezone-aware timestamps
BooleanBOOLEANStandard true/false
Array / ListJSONB / ARRAYNested arrays as JSONB or typed PostgreSQL arrays
Object / Map / Nested docJSONBFlexible schema fields with indexing support
Binary / BytesBYTEABinary data support
Null / MissingNULL (nullable column)Schema-less nulls become SQL-compliant NULL

Frequently asked questions

How do you handle sparse DynamoDB items?

NoSQLSync infers a union schema. Attributes present in only some items become nullable columns. You control whether missing values become NULL or a default value.

What about DynamoDB's eventual consistency?

CDC via DynamoDB Streams guarantees ordered, at-least-once delivery. NoSQLSync deduplicates events and ensures consistency by comparing checksums after every batch.

Can I filter specific DynamoDB items?

Yes. Filter by partition key prefix, sort key range, or with a scan filter expression. Only matching items are migrated.

How long does a migration take?

A typical 100 GB dataset migrates in under 2 hours with bulk mode. With CDC enabled, ongoing writes sync in real time. Total time depends on data volume and network throughput.

Is my data secure during migration?

Yes. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Database credentials use short-lived tokens. Migration workers run in an isolated environment and never store data after the job completes.

Can I roll back if something goes wrong?

Yes. Dual-write mode keeps both databases in sync. If you detect issues after cutover, just reverse to the source in one click. Your original data is never modified.

Other migration paths from DynamoDB

DynamoDB → MySQLDynamoDB → BigQueryDynamoDB → SnowflakeDynamoDB → RedshiftDynamoDB → ClickHouseDynamoDB → SQL ServerDynamoDB → MariaDB

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