Top 10 Amazon DynamoDB Alternatives & Competitors

Top 10 Alternatives to Amazon DynamoDB Recently Reviewed By G2 Community

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Couchbase
By Couchbase
4.3/5
(150)
Product Description
Couchbase is engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications.
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Reviewers say compared to Amazon DynamoDB, Couchbase is:
Slower to reach roi
Categories in common with Amazon DynamoDB:
Document Databases
Database as a Service (DBaaS)
Key Value Databases

Azure Cosmos DB
By Microsoft
4.2/5
(68)
Product Description
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.
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Reviewers say compared to Amazon DynamoDB, Azure Cosmos DB is:
More expensive
Categories in common with Amazon DynamoDB:
Document Databases
Database as a Service (DBaaS)
Key Value Databases

MongoDB Atlas
By MongoDB
4.5/5
(899)
Product Description
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
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Reviewers say compared to Amazon DynamoDB, MongoDB Atlas is:
Slower to reach roi
More usable
Easier to set up
Categories in common with Amazon DynamoDB:
Document Databases
Database as a Service (DBaaS)

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Google Cloud Firestore
By Google
4.2/5
(97)
Product Description
Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.
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Reviewers say compared to Amazon DynamoDB, Google Cloud Firestore is:
Slower to reach roi
Easier to set up
Easier to admin
Categories in common with Amazon DynamoDB:
Document Databases
Database as a Service (DBaaS)

MongoDB
By MongoDB
Product Description
MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
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Reviewers say compared to Amazon DynamoDB, MongoDB is:
Better at meeting requirements
Categories in common with Amazon DynamoDB:
Document Databases

Arango
By Arango
4.6/5
(115)
Product Description
Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.
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Reviewers say compared to Amazon DynamoDB, Arango is:
More usable
Better at support
Easier to do business with
Categories in common with Amazon DynamoDB:
Document Databases
Database as a Service (DBaaS)
Key Value Databases

DigitalOcean
By DigitalOcean
4.6/5
(749)
Product Description
DigitalOcean provides the best tools to control your virtual server in the cloud. Learn how we deliver the most intuitive interface and features so you can start building your web infrastructure today.
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Reviewers say compared to Amazon DynamoDB, DigitalOcean is:
More usable
Easier to set up
Easier to admin
Categories in common with Amazon DynamoDB:
Database as a Service (DBaaS)

ScyllaDB
By ScyllaDB
4.5/5
(427)
Product Description
Manage terabytes to petabytes of digital information with millions of read/write operations and msec P99 response. Our high availability architecture takes full advantage of modern infrastructure and networking capabilities. This translates to dramatically higher throughput and lower latency--eliminating barriers to scale.
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Reviewers say compared to Amazon DynamoDB, ScyllaDB is:
Slower to reach roi
Better at meeting requirements
Categories in common with Amazon DynamoDB:
Database as a Service (DBaaS)
Key Value Databases

Google Cloud SQL
By Google
4.5/5
(366)
Product Description
Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud.
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Reviewers say compared to Amazon DynamoDB, Google Cloud SQL is:
More usable
Slower to reach roi
Better at meeting requirements
Categories in common with Amazon DynamoDB:
Database as a Service (DBaaS)