Best Enterprise Document Databases

How Many Document Databases Products Does G2 Track?

Total Products under this Category: 66

Category Stats (Sep 2026)

  • Average Rating: 4.23/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: InterSystems IRIS (+0.35%) - Among all products in this category, InterSystems IRIS recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Document Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,200+ Authentic Reviews
  • 66+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Document Databases

G2 Grid® for Document Databases plotting products by satisfaction and market presence

Highlighted products: Elasticsearch, Amazon DynamoDB, MongoDB Atlas, Google Cloud Firestore, Couchbase, Amazon WorkDocs, Azure Cosmos DB, and Progress MarkLogic.

Underlying data: [Grid® JSON](https://www.g2.com/categories/document-databases/grids.json?focus%5B%5D=elastic-elasticsearch&focus%5B%5D=amazon-web-services-aws-amazon-dynamodb&focus%5B%5D=mongodb-atlas&focus%5B%5D=google-cloud-firestore&focus%5B%5D=couchbase&focus%5B%5D=amazon-workdocs&focus%5B%5D=azure-cosmos-db&focus%5B%5D=progress-marklogic&segment=enterprise)

Elasticsearch

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results.

Average Rating: 4.5/5.0

Total Reviews: 289

How Do G2 Users Rate Elasticsearch?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.5/10)
  • Query Optimization: 8.9/10 (Category avg: 8.0/10)
  • Data Model: 9.5/10 (Category avg: 8.5/10)
  • Operating Systems: 9.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Elasticsearch?

  • Seller: Elastic
  • Company Website:
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 38% Medium, 33% Large

What Do G2 Reviewers Say About Elasticsearch?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Elasticsearch, making integration and application monitoring seamless and efficient.
  • Users commend the impressive speed of Elasticsearch, allowing efficient handling of large datasets and quick queries.
  • Users love the fast search capabilities of Elasticsearch, allowing for efficient troubleshooting and real-time analytics.
  • Users appreciate the blazing fast performance of Elasticsearch, enhancing their search experiences significantly.
  • Users value Elasticsearch for its powerful search and aggregation capabilities, enhancing performance and workflow efficiency immensely.
Cons
  • Users find Elasticsearch expensive to scale, especially with high data volumes and necessary commercial licenses.
  • Users find Elasticsearch's required expertise challenging, citing complexity and resource-intensive setup as significant hurdles.
  • Users find the learning difficulty of Elasticsearch overwhelming, especially for beginners navigating its complexity and configuration.
  • Users find Elasticsearch's interface to be not user-friendly, complicating search functionality and requiring extensive tuning for performance.
  • Users find difficult learning with Elasticsearch due to its complex configuration and confusing documentation, especially for beginners.

What Are Recent G2 Reviews of Elasticsearch?

Amazon DynamoDB

Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice-based applications through a simple API. Customers enjoy the benefits of DynamoDB’s fully-managed service including broad compliance standards, security integration with AWS Identity and Access Management and numerous disaster recovery services. With DynamoDB Global Tables, customers have a 99.999% highly available, multi-Region, multi-active database supporting local reads and writes for globally distributed users. DynamoDB provides cost management features such as scale-to-zero, Time to Live (TTL) for aging data out, and multiple pricing models including a free tier.

Average Rating: 4.4/5.0

Total Reviews: 498

How Do G2 Users Rate Amazon DynamoDB?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.5/10)
  • Query Optimization: 8.4/10 (Category avg: 8.0/10)
  • Data Model: 8.8/10 (Category avg: 8.5/10)
  • Operating Systems: 8.4/10 (Category avg: 8.3/10)

Who Is the Company Behind Amazon DynamoDB?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 35% Large, 34% Medium

What Do G2 Reviewers Say About Amazon DynamoDB?

AI-generated summary from verified user reviews

Pros
  • Users value the exceptional scalability of Amazon DynamoDB, enabling consistent performance during unpredictable workloads and high traffic.
  • Users appreciate the ease of use of Amazon DynamoDB, benefiting from its fully managed and scalable features.
  • Users appreciate the cost efficiency of Amazon DynamoDB, saving time and reducing operational efforts significantly.
  • Users value the low-latency performance of Amazon DynamoDB, ensuring rapid responses for high-traffic applications.
  • Users value the fully managed services of Amazon DynamoDB, significantly reducing operational burdens and enhancing efficiency.
Cons
  • Users express concerns about the expensive costs associated with DynamoDB's pay-per-request model and configuration complexities.
  • Users face challenges with query complexity, as inefficient designs can lead to high costs and throttling issues.
  • Users find Amazon DynamoDB complex for newcomers, requiring extensive learning and proper data modeling to avoid issues.
  • Users find the learning curve steep, making data modeling and queries challenging for newcomers to DynamoDB.
  • Users face cost management challenges with DynamoDB, needing careful optimization to prevent unexpected expenses.

What Are Recent G2 Reviews of Amazon DynamoDB?

What Are G2 Users Discussing About Amazon DynamoDB?

MongoDB Atlas

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.

Average Rating: 4.5/5.0

Total Reviews: 851

How Do G2 Users Rate MongoDB Atlas?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.5/10)
  • Query Optimization: 8.5/10 (Category avg: 8.0/10)
  • Data Model: 9.0/10 (Category avg: 8.5/10)
  • Operating Systems: 9.0/10 (Category avg: 8.3/10)

Who Is the Company Behind MongoDB Atlas?

  • Seller: MongoDB
  • Year Founded: 2007
  • HQ Location: New York
  • Twitter: @MongoDB
    503,172 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,041 employees on LinkedIn®
  • Ownership: NASDAQ: MDB

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Small, 29% Large

What Do G2 Reviewers Say About MongoDB Atlas?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive UI of MongoDB Atlas, enhancing their database management experience significantly.
  • Users appreciate the intuitive UI of MongoDB Atlas, which simplifies database management and enhances user experience.
  • Users appreciate the intuitive UI and documentation of MongoDB Atlas, enhancing user-friendly database management and efficiency.
  • Users value the scalability of MongoDB Atlas, noting its ease in managing clusters and diverse data structures.
  • Users highly value the reliability of MongoDB Atlas, consistently appreciating its excellent uptime and seamless performance.
Cons
  • Users find the pricing of MongoDB Atlas excessively high, leading to frustration with unexpected costs and poor performance.
  • Users express frustration over unclear pricing structures, leading to unexpected costs and insufficient support throughout their experience.
  • Users find MongoDB Atlas expensive, citing high costs for performance, support, and complex billing issues.
  • Users experience high memory usage with MongoDB Atlas, leading to performance issues and unexpected costs.
  • Users frequently report latency issues and unwanted slowdowns in performance during data operations with MongoDB Atlas.

What Are Recent G2 Reviews of MongoDB Atlas?

What Are G2 Users Discussing About MongoDB Atlas?

Google Cloud Firestore

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.

Average Rating: 4.2/5.0

Total Reviews: 96

How Do G2 Users Rate Google Cloud Firestore?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.5/10)
  • Query Optimization: 7.9/10 (Category avg: 8.0/10)
  • Data Model: 8.7/10 (Category avg: 8.5/10)
  • Operating Systems: 8.9/10 (Category avg: 8.3/10)

Who Is the Company Behind Google Cloud Firestore?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Small, 30% Medium

What Do G2 Reviewers Say About Google Cloud Firestore?

AI-generated summary from verified user reviews

Pros
  • Users find the API integration fast and efficient, allowing seamless app connections and real-time updates.
  • Users value the scalability and wide service offerings of Google Cloud Firestore, enhancing flexibility for diverse applications.
  • Users value the flexibility of Google Cloud Firestore, enabling customized solutions for diverse application needs.
  • Users highlight the commitment to innovation in Google Cloud Firestore, enhancing their development experience and efficiency.
  • Users benefit from the seamless integration with Google products, enhancing their overall workflow and productivity.
Cons
  • Users find the pricing expensive, especially when needing to upgrade beyond the free tier of Firestore.
  • Users find the unclear pricing of Firestore confusing, especially when costs increase after the free tier.

What Are Recent G2 Reviews of Google Cloud Firestore?

What Are G2 Users Discussing About Google Cloud Firestore?

Couchbase

Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.

Average Rating: 4.3/5.0

Total Reviews: 142

How Do G2 Users Rate Couchbase?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.5/10)
  • Query Optimization: 8.8/10 (Category avg: 8.0/10)
  • Data Model: 8.8/10 (Category avg: 8.5/10)
  • Operating Systems: 8.6/10 (Category avg: 8.3/10)

Who Is the Company Behind Couchbase?

  • Seller: Couchbase
  • Company Website:
  • Year Founded: 2009
  • HQ Location: San Jose, CA
  • Twitter: @couchbase
    136,110 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    849 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 39% Small, 34% Large

What Do G2 Reviewers Say About Couchbase?

AI-generated summary from verified user reviews

Pros
  • Users find Couchbase easy to use, appreciating its simple implementation and fast real-time data access.
  • Users appreciate the scalability of Couchbase, enabling efficient data management and exceptional performance across applications.
  • Users love the incredible speed of Couchbase, significantly enhancing performance for large datasets and transactions.
  • Users value the flexibility of Couchbase, enabling diverse data storage and seamless integration for various applications.
  • Users value the MongoDB compatibility of Couchbase, appreciating its ease of use and smooth integration.
Cons
  • Users find the complex configuration of Couchbase challenging, especially without dedicated database administrators or expertise.
  • Users find the difficult learning curve of Couchbase challenging, which can complicate setup and usage for novices.
  • Users find the complexity of setup and management in Couchbase to be a significant challenge and hurdle.
  • Users find the limited community growth of Couchbase hampers support and implementation efforts for new users.
  • Users feel the UI is complicated, highlighting a need for improvements to enhance the overall user experience.

What Are Recent G2 Reviews of Couchbase?

What Are G2 Users Discussing About Couchbase?

Amazon WorkDocs

Amazon WorkDocs is a secure enterprise storage and sharing service with strong administrative controls and feedback capabilities that improve user productivity, users can comment on files, send to others for feedback, and upload new versions without having to resort to emailing multiple versions of files as attachments.

Average Rating: 4.1/5.0

Total Reviews: 36

How Do G2 Users Rate Amazon WorkDocs?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.5/10)
  • Query Optimization: 10.0/10 (Category avg: 8.0/10)
  • Data Model: 10.0/10 (Category avg: 8.5/10)
  • Operating Systems: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Amazon WorkDocs?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Company Size: 45% Small, 29% Medium

What Are Recent G2 Reviews of Amazon WorkDocs?

What Are G2 Users Discussing About Amazon WorkDocs?

Azure Cosmos DB

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.

Average Rating: 4.2/5.0

Total Reviews: 59

How Do G2 Users Rate Azure Cosmos DB?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.5/10)
  • Query Optimization: 6.7/10 (Category avg: 8.0/10)
  • Data Model: 8.3/10 (Category avg: 8.5/10)
  • Operating Systems: 7.8/10 (Category avg: 8.3/10)

Who Is the Company Behind Azure Cosmos DB?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 28% Medium

What Do G2 Reviewers Say About Azure Cosmos DB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Azure Cosmos DB, finding it simple to configure and effective for teams.
  • Users praise the fast performance and vast features of Azure Cosmos DB, enhancing flexibility and integration options.
  • Users find Azure Cosmos DB offers seamless integrations, making it easy to connect with various Microsoft services and APIs.
  • Users value the seamless scalability of Azure Cosmos DB, allowing instant resource management without hassle.
  • Users appreciate the customization options of Azure Cosmos DB, allowing tailored experiences and integration with various APIs.
Cons
  • Users find Azure Cosmos DB to be expensive, often leading to high costs if not managed properly.
  • Users are concerned about the high costs of Azure Cosmos DB, especially with unoptimized storage and partitioning.
  • Users find the complexity issues of Azure Cosmos DB challenging, especially with confusing cost structures and limitations.
  • Users find the complex usage of Azure Cosmos DB challenging, especially for those without advanced database skills.
  • Users find that Azure Cosmos DB can become expensive if storage is not optimized and partitioned effectively.

What Are Recent G2 Reviews of Azure Cosmos DB?

What Are G2 Users Discussing About Azure Cosmos DB?

Progress MarkLogic

Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era.

Average Rating: 4.3/5.0

Total Reviews: 65

How Do G2 Users Rate Progress MarkLogic?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.5/10)
  • Query Optimization: 8.1/10 (Category avg: 8.0/10)
  • Data Model: 8.3/10 (Category avg: 8.5/10)
  • Operating Systems: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Progress MarkLogic?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • Twitter: @ProgressSW
    48,773 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 53% Large, 24% Small

What Are Recent G2 Reviews of Progress MarkLogic?

What Are G2 Users Discussing About Progress MarkLogic?

Arango

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.

Average Rating: 4.6/5.0

Total Reviews: 115

How Do G2 Users Rate Arango?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.5/10)
  • Query Optimization: 8.4/10 (Category avg: 8.0/10)
  • Data Model: 9.2/10 (Category avg: 8.5/10)
  • Operating Systems: 8.4/10 (Category avg: 8.3/10)

Who Is the Company Behind Arango?

  • Seller: Arango
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    128 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Small, 23% Medium

What Do G2 Reviewers Say About Arango?

AI-generated summary from verified user reviews

Pros
  • Users value Arango's seamless data handling, combining graph, document, and key-value seamlessly with excellent documentation.
  • Users find Arango remarkably easy to use, appreciating its intuitive interface and quick learning curve for AQL.
  • Users appreciate the flexibility of Arango, enabling seamless integration of various data models in one engine.
  • Users value the customization potential of Arango DB, appreciating its flexible query language and versatile design.
  • Users value the comprehensive and well-organized documentation that simplifies learning and managing Arango's features.
Cons
  • Users find the improvement needed for the graphical interface and setup process, wishing for a more intuitive experience.
  • Users find the difficult learning process challenging, particularly with complex queries and limited community support.
  • Users find the lack of detailed documentation frustrating, often struggling to locate necessary information for complex use cases.
  • Users find the learning curve steep, especially for complex queries and building new databases with limited support.
  • Users find the steep learning curve challenging, particularly for building complex queries and databases.

What Are Recent G2 Reviews of Arango?

What Are G2 Users Discussing About Arango?