Tigris vs DynamoDB

Tigris is a Serverless Multi-Cloud NoSQL database that is 4x cheaper than DynamoDB.

Tigris is built by the team that built and operated Uber's core database platform Docstore. Tigris is built with the same vision of modernizing the application data stack, vastly improving developer velocity and reducing the database infrastructure cost and complexity.

Uber ended up migrating from DynamoDB to Docstore saving $6M per year in operational costs.

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Tigris

DynamoDB

Freedom to Run Anywhere

TigrisDeploy anywhereTigris is open source and can be deployed anywhere in the cloud. You can deploy it to AWS, GCP, Azure or any of the other cloud providers

DynamoDBOnly available on AWSLocked-in to a single cloud provider

Pricing

Tigris$4x cheaper as compared to DynamoDB

DynamoDB$$$$Costly, and a wide range of inputs may affect price

Data Model

TigrisFeature rich document storeSupport for variety of workloads enabling you to consolidate your database use cases

DynamoDBLimited key-value storeLimited data type support increases application complexity

Querying

TigrisRich query languageQuery by single keys, ranges, nested fields, faceted search, aggregations, and more

DynamoDBKey-value queries onlyLimited querying capabilities pushes the complexity to the application developers

Data Integrity

TigrisStrongly consistentACID Transactions with strict serializability similar to Cloud Spanner. Strongly-consistent secondary indexes

DynamoDBEventually consistentComplex - need to handle stale data in application. Limited support for transactions

Search

TigrisIntegrated search enginePerform vector search, full-text search, faceted and fuzzy search and more

DynamoDBNoneNo support for search queries

Scalability

TigrisHighly scalableScale to millions of records read/written and petabytes of data

DynamoDBHighly scalableScale to millions of records read/written and petabytes of data

Tigris

DynamoDB

Freedom to Run Anywhere

TigrisDeploy anywhereTigris is open source and can be deployed anywhere in the cloud. You can deploy it to AWS, GCP, Azure or any of the other cloud providers

DynamoDBOnly available on AWSLocked-in to a single cloud provider

Pricing

Tigris$4x cheaper as compared to DynamoDB

DynamoDB$$$$Costly, and a wide range of inputs may affect price

Data Model

TigrisFeature rich document storeSupport for variety of workloads enabling you to consolidate your database use cases

DynamoDBLimited key-value storeLimited data type support increases application complexity

Querying

TigrisRich query languageQuery by single keys, ranges, nested fields, faceted search, aggregations, and more

DynamoDBKey-value queries onlyLimited querying capabilities pushes the complexity to the application developers

Data Integrity

TigrisStrongly consistentACID Transactions with strict serializability similar to Cloud Spanner. Strongly-consistent secondary indexes

DynamoDBEventually consistentComplex - need to handle stale data in application. Limited support for transactions

Search

TigrisIntegrated search enginePerform vector search, full-text search, faceted and fuzzy search and more

DynamoDBNoneNo support for search queries

Scalability

TigrisHighly scalableScale to millions of records read/written and petabytes of data

DynamoDBHighly scalableScale to millions of records read/written and petabytes of data

Tigris

Freedom to Run Anywhere

Only available on AWSLocked-in to a single cloud provider

Pricing

$$$$Costly, and a wide range of inputs may affect price

Data Model

Limited key-value storeLimited data type support increases application complexity

Querying

Key-value queries onlyLimited querying capabilities pushes the complexity to the application developers

Data Integrity

Eventually consistentComplex - need to handle stale data in application. Limited support for transactions

Search

NoneNo support for search queries

Scalability

Highly scalableScale to millions of records read/written and petabytes of data

Freedom to Run Anywhere

Deploy anywhereTigris is open source and can be deployed anywhere in the cloud. You can deploy it to AWS, GCP, Azure or any of the other cloud providers

Pricing

$4x cheaper as compared to DynamoDB

Data Model

Feature rich document storeSupport for variety of workloads enabling you to consolidate your database use cases

Querying

Rich query languageQuery by single keys, ranges, nested fields, faceted search, aggregations, and more

Data Integrity

Strongly consistentACID Transactions with strict serializability similar to Cloud Spanner. Strongly-consistent secondary indexes

Search

Integrated search enginePerform vector search, full-text search, faceted and fuzzy search and more

Scalability

Highly scalableScale to millions of records read/written and petabytes of data

Freedom to Run Anywhere

Only available on AWSLocked-in to a single cloud provider

Pricing

$$$$Costly, and a wide range of inputs may affect price

Data Model

Limited key-value storeLimited data type support increases application complexity

Querying

Key-value queries onlyLimited querying capabilities pushes the complexity to the application developers

Data Integrity

Eventually consistentComplex - need to handle stale data in application. Limited support for transactions

Search

NoneNo support for search queries

Scalability

Highly scalableScale to millions of records read/written and petabytes of data

Freedom to Run Anywhere

Deploy anywhereTigris is open source and can be deployed anywhere in the cloud. You can deploy it to AWS, GCP, Azure or any of the other cloud providers

Pricing

$4x cheaper as compared to DynamoDB

Data Model

Feature rich document storeSupport for variety of workloads enabling you to consolidate your database use cases

Querying

Rich query languageQuery by single keys, ranges, nested fields, faceted search, aggregations, and more

Data Integrity

Strongly consistentACID Transactions with strict serializability similar to Cloud Spanner. Strongly-consistent secondary indexes

Search

Integrated search enginePerform vector search, full-text search, faceted and fuzzy search and more

Scalability

Highly scalableScale to millions of records read/written and petabytes of data