# Top 10 RavenDB Alternatives & Competitors **Average Rating:** 4.4/5 **Total Number of Reviews:** 14 Research alternative solutions to RavenDB on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to RavenDB include features and performance. The best overall RavenDB alternative is Amazon DynamoDB. Other similar apps like RavenDB are MongoDB Atlas, Arango, Elasticsearch, and CouchDB. RavenDB alternatives can be found in [Document Databases](https://www.g2.com/categories/document-databases) but may also be in [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas) or [Graph Databases](https://www.g2.com/categories/graph-databases). ## Best Paid & Free Alternatives to RavenDB - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) - [Arango](https://www.g2.com/products/arango/reviews) - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) - [CouchDB](https://www.g2.com/products/couchdb/reviews) - [Couchbase](https://www.g2.com/products/couchbase/reviews) - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - [Redis Software](https://www.g2.com/products/redis-software/reviews) - [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews) - [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) ## Top 10 Alternatives to RavenDB Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how RavenDB stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Electrical/Electronic Manufacturing, and Retail, and find the best product for your business. ### 1. [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.4/5 **Total Reviews:** 529 Nonrelational database for applications that need performance at any scale Reviewers say compared to RavenDB, Amazon DynamoDB is: - Slower to reach roi - More expensive - Easier to do business with Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-ravendb) **Compare Amazon DynamoDB with other alternatives:** - [Amazon DynamoDB vs MongoDB Atlas](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas) - [Amazon DynamoDB vs Arango](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-arango) - [Amazon DynamoDB vs Elasticsearch](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-elastic-elasticsearch) - [Amazon DynamoDB vs CouchDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-couchdb) - [Amazon DynamoDB vs Couchbase](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-couchbase) - [Amazon DynamoDB vs Azure Cosmos DB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-azure-cosmos-db) - [Amazon DynamoDB vs Redis Software](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-redis-software) - [Amazon DynamoDB vs Google Cloud Firestore](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-google-cloud-firestore) - [Amazon DynamoDB vs Elastic Stack](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-elastic-stack) ### 2. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) By MongoDB **Average Rating:** 4.5/5 **Total Reviews:** 900 MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data. Reviewers say compared to RavenDB, MongoDB Atlas is: - Slower to reach roi - More expensive - Easier to do business with Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-ravendb) **Compare MongoDB Atlas with other alternatives:** - [MongoDB Atlas vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas) - [MongoDB Atlas vs Arango](https://www.g2.com/compare/arango-vs-mongodb-atlas) - [MongoDB Atlas vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-mongodb-atlas) - [MongoDB Atlas vs CouchDB](https://www.g2.com/compare/couchdb-vs-mongodb-atlas) - [MongoDB Atlas vs Couchbase](https://www.g2.com/compare/couchbase-vs-mongodb-atlas) - [MongoDB Atlas vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-mongodb-atlas) - [MongoDB Atlas vs Redis Software](https://www.g2.com/compare/mongodb-atlas-vs-redis-software) - [MongoDB Atlas vs Google Cloud Firestore](https://www.g2.com/compare/google-cloud-firestore-vs-mongodb-atlas) - [MongoDB Atlas vs Elastic Stack](https://www.g2.com/compare/elastic-stack-vs-mongodb-atlas) ### 3. [Arango](https://www.g2.com/products/arango/reviews) By Arango **Average Rating:** 4.6/5 **Total Reviews:** 115 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. Reviewers say compared to RavenDB, Arango is: - Slower to reach roi - Easier to do business with Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Arango](https://www.g2.com/compare/arango-vs-ravendb) **Compare Arango with other alternatives:** - [Arango vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-arango) - [Arango vs MongoDB Atlas](https://www.g2.com/compare/arango-vs-mongodb-atlas) - [Arango vs Elasticsearch](https://www.g2.com/compare/arango-vs-elastic-elasticsearch) - [Arango vs CouchDB](https://www.g2.com/compare/arango-vs-couchdb) - [Arango vs Couchbase](https://www.g2.com/compare/arango-vs-couchbase) - [Arango vs Azure Cosmos DB](https://www.g2.com/compare/arango-vs-azure-cosmos-db) - [Arango vs Redis Software](https://www.g2.com/compare/arango-vs-redis-software) - [Arango vs Google Cloud Firestore](https://www.g2.com/compare/arango-vs-google-cloud-firestore) - [Arango vs Elastic Stack](https://www.g2.com/compare/arango-vs-elastic-stack) ### 4. [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) By Elastic **Average Rating:** 4.5/5 **Total Reviews:** 292 Create and manage a search experience tailored to your specific needs in no time, thanks to seamless indexing, best-in-class relevance and intuitive customization features. Reviewers say compared to RavenDB, Elasticsearch is: - Slower to reach roi - More expensive - Easier to do business with Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-ravendb) **Compare Elasticsearch with other alternatives:** - [Elasticsearch vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-elastic-elasticsearch) - [Elasticsearch vs MongoDB Atlas](https://www.g2.com/compare/elastic-elasticsearch-vs-mongodb-atlas) - [Elasticsearch vs Arango](https://www.g2.com/compare/arango-vs-elastic-elasticsearch) - [Elasticsearch vs CouchDB](https://www.g2.com/compare/couchdb-vs-elastic-elasticsearch) - [Elasticsearch vs Couchbase](https://www.g2.com/compare/couchbase-vs-elastic-elasticsearch) - [Elasticsearch vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-elastic-elasticsearch) - [Elasticsearch vs Redis Software](https://www.g2.com/compare/elastic-elasticsearch-vs-redis-software) - [Elasticsearch vs Google Cloud Firestore](https://www.g2.com/compare/elastic-elasticsearch-vs-google-cloud-firestore) - [Elasticsearch vs Elastic Stack](https://www.g2.com/compare/elastic-stack-vs-elastic-elasticsearch) ### 5. [CouchDB](https://www.g2.com/products/couchdb/reviews) By The Apache Software Foundation **Average Rating:** 3.9/5 **Total Reviews:** 64 CouchDB is a database that completely embraces the web. Store your data with JSON documents. Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs CouchDB](https://www.g2.com/compare/couchdb-vs-ravendb) **Compare CouchDB with other alternatives:** - [CouchDB vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-couchdb) - [CouchDB vs MongoDB Atlas](https://www.g2.com/compare/couchdb-vs-mongodb-atlas) - [CouchDB vs Arango](https://www.g2.com/compare/arango-vs-couchdb) - [CouchDB vs Elasticsearch](https://www.g2.com/compare/couchdb-vs-elastic-elasticsearch) - [CouchDB vs Couchbase](https://www.g2.com/compare/couchdb-vs-couchbase) - [CouchDB vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-couchdb) - [CouchDB vs Redis Software](https://www.g2.com/compare/couchdb-vs-redis-software) - [CouchDB vs Google Cloud Firestore](https://www.g2.com/compare/couchdb-vs-google-cloud-firestore) - [CouchDB vs Elastic Stack](https://www.g2.com/compare/couchdb-vs-elastic-stack) ### 6. [Couchbase](https://www.g2.com/products/couchbase/reviews) By Couchbase **Average Rating:** 4.3/5 **Total Reviews:** 151 Couchbase is engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications. Reviewers say compared to RavenDB, Couchbase is: - Slower to reach roi - More expensive Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Couchbase](https://www.g2.com/compare/couchbase-vs-ravendb) **Compare Couchbase with other alternatives:** - [Couchbase vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-couchbase) - [Couchbase vs MongoDB Atlas](https://www.g2.com/compare/couchbase-vs-mongodb-atlas) - [Couchbase vs Arango](https://www.g2.com/compare/arango-vs-couchbase) - [Couchbase vs Elasticsearch](https://www.g2.com/compare/couchbase-vs-elastic-elasticsearch) - [Couchbase vs CouchDB](https://www.g2.com/compare/couchdb-vs-couchbase) - [Couchbase vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-couchbase) - [Couchbase vs Redis Software](https://www.g2.com/compare/couchbase-vs-redis-software) - [Couchbase vs Google Cloud Firestore](https://www.g2.com/compare/couchbase-vs-google-cloud-firestore) - [Couchbase vs Elastic Stack](https://www.g2.com/compare/couchbase-vs-elastic-stack) ### 7. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) By Microsoft **Average Rating:** 4.2/5 **Total Reviews:** 68 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. Reviewers say compared to RavenDB, Azure Cosmos DB is: - Slower to reach roi - More expensive Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-ravendb) **Compare Azure Cosmos DB with other alternatives:** - [Azure Cosmos DB vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-azure-cosmos-db) - [Azure Cosmos DB vs MongoDB Atlas](https://www.g2.com/compare/azure-cosmos-db-vs-mongodb-atlas) - [Azure Cosmos DB vs Arango](https://www.g2.com/compare/arango-vs-azure-cosmos-db) - [Azure Cosmos DB vs Elasticsearch](https://www.g2.com/compare/azure-cosmos-db-vs-elastic-elasticsearch) - [Azure Cosmos DB vs CouchDB](https://www.g2.com/compare/azure-cosmos-db-vs-couchdb) - [Azure Cosmos DB vs Couchbase](https://www.g2.com/compare/azure-cosmos-db-vs-couchbase) - [Azure Cosmos DB vs Redis Software](https://www.g2.com/compare/azure-cosmos-db-vs-redis-software) - [Azure Cosmos DB vs Google Cloud Firestore](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-firestore) - [Azure Cosmos DB vs Elastic Stack](https://www.g2.com/compare/azure-cosmos-db-vs-elastic-stack) ### 8. [Redis Software](https://www.g2.com/products/redis-software/reviews) By Redis **Average Rating:** 4.5/5 **Total Reviews:** 136 Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications. Reviewers say compared to RavenDB, Redis Software is: - Slower to reach roi - Better at meeting requirements Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Redis Software](https://www.g2.com/compare/ravendb-vs-redis-software) **Compare Redis Software with other alternatives:** - [Redis Software vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-redis-software) - [Redis Software vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-redis-software) - [Redis Software vs Arango](https://www.g2.com/compare/arango-vs-redis-software) - [Redis Software vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-redis-software) - [Redis Software vs CouchDB](https://www.g2.com/compare/couchdb-vs-redis-software) - [Redis Software vs Couchbase](https://www.g2.com/compare/couchbase-vs-redis-software) - [Redis Software vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-redis-software) - [Redis Software vs Google Cloud Firestore](https://www.g2.com/compare/google-cloud-firestore-vs-redis-software) - [Redis Software vs Elastic Stack](https://www.g2.com/compare/elastic-stack-vs-redis-software) ### 9. [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews) By Google **Average Rating:** 4.2/5 **Total Reviews:** 97 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. Reviewers say compared to RavenDB, Google Cloud Firestore is: - Slower to reach roi - More expensive - Easier to set up Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Google Cloud Firestore](https://www.g2.com/compare/google-cloud-firestore-vs-ravendb) **Compare Google Cloud Firestore with other alternatives:** - [Google Cloud Firestore vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-google-cloud-firestore) - [Google Cloud Firestore vs MongoDB Atlas](https://www.g2.com/compare/google-cloud-firestore-vs-mongodb-atlas) - [Google Cloud Firestore vs Arango](https://www.g2.com/compare/arango-vs-google-cloud-firestore) - [Google Cloud Firestore vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-google-cloud-firestore) - [Google Cloud Firestore vs CouchDB](https://www.g2.com/compare/couchdb-vs-google-cloud-firestore) - [Google Cloud Firestore vs Couchbase](https://www.g2.com/compare/couchbase-vs-google-cloud-firestore) - [Google Cloud Firestore vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-firestore) - [Google Cloud Firestore vs Redis Software](https://www.g2.com/compare/google-cloud-firestore-vs-redis-software) - [Google Cloud Firestore vs Elastic Stack](https://www.g2.com/compare/elastic-stack-vs-google-cloud-firestore) ### 10. [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) By Elastic **Average Rating:** 4.5/5 **Total Reviews:** 109 The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data. Reviewers say compared to RavenDB, Elastic Stack is: - Slower to reach roi - More expensive - Better at meeting requirements Categories in common with RavenDB: [Document Databases](https://www.g2.com/categories/document-databases) **Compare:** [RavenDB vs Elastic Stack](https://www.g2.com/compare/elastic-stack-vs-ravendb) **Compare Elastic Stack with other alternatives:** - [Elastic Stack vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-elastic-stack) - [Elastic Stack vs MongoDB Atlas](https://www.g2.com/compare/elastic-stack-vs-mongodb-atlas) - [Elastic Stack vs Arango](https://www.g2.com/compare/arango-vs-elastic-stack) - [Elastic Stack vs Elasticsearch](https://www.g2.com/compare/elastic-stack-vs-elastic-elasticsearch) - [Elastic Stack vs CouchDB](https://www.g2.com/compare/couchdb-vs-elastic-stack) - [Elastic Stack vs Couchbase](https://www.g2.com/compare/couchbase-vs-elastic-stack) - [Elastic Stack vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-elastic-stack) - [Elastic Stack vs Redis Software](https://www.g2.com/compare/elastic-stack-vs-redis-software) - [Elastic Stack vs Google Cloud Firestore](https://www.g2.com/compare/elastic-stack-vs-google-cloud-firestore) ## Explore Articles - [What are the best managed IoT services platforms for teams beginning digital transformation?](https://www.g2.com/discussions/what-are-the-best-managed-iot-services-platforms-for-teams-beginning-digital-transformation) - [What NLP platforms are actually worth using for teams that need strong user adoption and minimal training requirements rather than a platform only data scientists can operate?](https://www.g2.com/discussions/what-nlp-platforms-are-actually-worth-using-for-teams-that-need-strong-user-adoption-and-minimal-training-requirements-rather-than-a-platform-that-only-data-scientists-can-operate) - [Best APM Tools](https://www.g2.com/discussions/best-apm-tools) - [Most reliable application performance monitors for online platforms](https://www.g2.com/discussions/most-reliable-application-performance-monitors-for-online-platforms) - [Which secure data room providers offer the best collaboration tools for legal teams?](https://www.g2.com/discussions/which-secure-data-room-providers-offer-the-best-collaboration-tools-for-legal-teams) - [What's the top-rated hard drive cloning software for businesses that need to clone multiple PCs fast?](https://www.g2.com/discussions/what-s-the-top-rated-hard-drive-cloning-software-for-businesses-that-need-to-clone-multiple-pcs-fast) ## Spotlight Categories - [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm) - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [Robotic Process Automation (RPA) Software](https://www.g2.com/categories/robotic-process-automation-rpa)