# Best Document Databases *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Document databases store related data in document format. These databases support document creation, retrieval via query, updating and editing, and deletion of information within the documents. Document stores, because of their lack of structure, are easily scalable by utilizing clusters. Document-oriented databases allow for a variety of document model types, but house relevant data together in a semi-structured schema. The semi-structured schema allows metadata to be stored within the documents. Businesses interested in implementing a schema-less database may opt for a document database. Document databases store information in a range of encoding, or languages, including YAML, JSON, BSON, and XML, the latter of which can be qualified as its own class of databases. There are other database types similar but slightly different to document database software include [object-orientated database](https://www.g2.com/categories/object-oriented-databases) tools, [graph database](https://www.g2.com/categories/graph-databases) tools, [key-value store](https://www.g2.com/categories/key-value-stores) tools and more. Startups, small businesses and indie developers can look at [free database software](https://learn.g2.com/free-database-software). To qualify for inclusion in the Document Database category, a product must - Provide data storage - Organize data in a document model - Allow users to retrieve data ## Top Document Databases at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) | 4.5/5.0 (849 reviews) | Schema-flexible document storage with managed clustering | "[Flexible Document Model and Fast Development with MongoDB Atlas](https://www.g2.com/survey_responses/mongodb-atlas-review-12863051)" | | 2 | [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) | 4.5/5.0 (288 reviews) | Full-text search across centralized log documents | "[Simple UI, Seamless Integrations, and Strong Elasticsearch Performance](https://www.g2.com/survey_responses/elasticsearch-review-12835645)" | | 3 | [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) | 4.4/5.0 (498 reviews) | Serverless document storage with AWS-native event-driven scaling | "[Highly Scalable, Low Latency Database with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-dynamodb-review-12782261)" | | 4 | [Amazon DocumentDB](https://www.g2.com/products/amazon-documentdb/reviews) | 4.3/5.0 (42 reviews) | MongoDB-compatible document storage on AWS | "[A highly scalable fully managed JSON document database that allows you to encrypt data](https://www.g2.com/survey_responses/amazon-documentdb-review-8010734)" | | 5 | [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews) | 4.2/5.0 (96 reviews) | Real-time document sync with Firebase integration | "[Fast, Serverless Firestore with Great Real-Time Features](https://www.g2.com/survey_responses/google-cloud-firestore-review-12251251)" | | 6 | [InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews) | 4.6/5.0 (59 reviews) | Multi-model document storage with translytical performance | "[Unified Programming and Complete Documentation Facilitate Use](https://www.g2.com/survey_responses/intersystems-iris-review-12189169)" | | 7 | [Couchbase](https://www.g2.com/products/couchbase/reviews) | 4.3/5.0 (143 reviews) | High-throughput JSON document storage with N1QL querying | "[Couchbase Delivers Low-Latency Database Access](https://www.g2.com/survey_responses/couchbase-review-13093148)" | | 8 | [Amazon WorkDocs](https://www.g2.com/products/amazon-workdocs/reviews) | 4.1/5.0 (35 reviews) | AWS-native secure document collaboration and sharing | "[I have been using this portal for more than one and half year and its quite impressive.....!!!!!](https://www.g2.com/survey_responses/amazon-workdocs-review-5430290)" | | 9 | [AceBase realtime database](https://www.g2.com/products/acebase-realtime-database/reviews) | 4.6/5.0 (17 reviews) | Self-hosted JSON sync with real-time querying | "[Flexible and Lightweight Realtime NoSQL DB for Modern Apps](https://www.g2.com/survey_responses/acebase-realtime-database-review-7546110)" | | 10 | [RavenDB](https://www.g2.com/products/ravendb/reviews) | 4.4/5.0 (13 reviews) | .NET-native document storage with built-in subscriptions | "[Feature-Rich Database That Simplifies Our Tech Stack](https://www.g2.com/survey_responses/ravendb-review-12049406)" | ## G2 Grid® for Document Databases ![G2 Grid® for Document Databases plotting products by satisfaction and market presence](https://www.g2.com/categories/document-databases/grids.png?focus%5B%5D=56279&focus%5B%5D=8313&focus%5B%5D=17357&focus%5B%5D=88215&focus%5B%5D=67028&focus%5B%5D=53793&focus%5B%5D=1263&focus%5B%5D=20172) Highlighted products: MongoDB Atlas, Elasticsearch, Amazon DynamoDB, Amazon DocumentDB, Google Cloud Firestore, InterSystems IRIS, Couchbase, and Amazon WorkDocs. Underlying data: [Grid® JSON](https://www.g2.com/categories/document-databases/grids.json?focus%5B%5D=mongodb-atlas&focus%5B%5D=elastic-elasticsearch&focus%5B%5D=amazon-web-services-aws-amazon-dynamodb&focus%5B%5D=amazon-documentdb&focus%5B%5D=google-cloud-firestore&focus%5B%5D=intersystems-iris&focus%5B%5D=couchbase&focus%5B%5D=amazon-workdocs) ## How Many Document Databases Products Does G2 Track? **Total Products under this Category:** 66 ### Category Stats (Jul 2026) - **Average Rating**: 4.23/5 (↓0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings *Last updated: July 14, 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. ## Which Document Databases Is Best for Your Use Case? - **Leader:** [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) - **Highest Performer:** [InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews) - **Easiest to Use:** [RavenDB](https://www.g2.com/products/ravendb/reviews) - **Top Trending:** [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) - **Best Free Software:** [Couchbase](https://www.g2.com/products/couchbase/reviews) --- **Sponsored** ### BidMachine BidMachine is a mobile advertising platform that helps app publishers grow in-app ad revenue and gives advertisers, DSPs, and agencies access to SDK-direct in-app inventory with first-party signals. The platform operates as both an in-app bidding solution and a supply-side platform, connecting mobile publishers to programmatic demand through a lightweight SDK integration. Publishers add incremental demand sources to their existing monetization stack, run transparent real-time auctions, and access brand advertiser budgets through direct, SPO-aligned supply paths. BidMachine processes over 1 trillion ad requests monthly and reaches 600 million verified SDK users across gaming, utility, and lifestyle apps. Core features: SDK: lightweight in-app bidding integration that adds premium global demand to publisher auctions, built to minimize latency and preserve app performance Mediation: transparent auction mechanics with full visibility into how demand sources compete, including pricing, fill data, and demand prioritization controls Exchange: PMP and open auction access for DSPs and agencies buying SDK-powered in-app inventory with first-party signals and SPO-aligned supply paths UA: performance campaign tools for advertisers and UA teams, with CPI and ROAS optimization powered by rich in-app signals and unified reporting across inventory, creatives, and geos DIRECT Placements: a dedicated supply path that routes brand advertiser budgets to premium publishers through SDK-direct, SPO-aligned inventory, with onboarding taking approximately two weeks after agreement signing and ads.txt update Who uses BidMachine: Publishers and monetization managers growing ARPDAU and LTV by adding incremental demand alongside existing networks Advertisers and UA teams running performance campaigns who need high-quality, SDK-direct in-app supply DSPs and agencies seeking cleaner supply paths with richer first-party signals for programmatic buying Publishers can get started via self-serve sign-up or by contacting the sales team directly. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=306&secure%5Bchosen_at%5D=2026-07-15T05%3A35%3A55Z&secure%5Bdisplayable_resource_id%5D=615&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1702679&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1702679&secure%5Bresource_id%5D=306&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdocument-databases%3Fopen_modal_url%3D%252Fproducts%252Fmongodb-atlas%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdocument-databases%2526source%253Dcategory&secure%5Btoken%5D=0fade2cd1b1dc8dbffc6c8e326c1ee26db1b7f325aaeb8ea9ed2fb65e1940d3e&secure%5Burl%5D=https%3A%2F%2Fhubs.ly%2FQ04j068b0&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Document Databases Products in 2026? ### 1. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) 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:** 849 **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:** 9.1/10 (Category avg: 8.3/10) **Who Is the Company Behind MongoDB Atlas?** - **Seller:** [MongoDB](https://www.g2.com/sellers/mongodb) - **Year Founded:** 2007 - **HQ Location:** New York - **Twitter:** @MongoDB (503,172 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/783611/ (7,887 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:** 45% Small-Business, 29% Enterprise #### What Are MongoDB Atlas's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - User Interface (7 reviews) - Features (6 reviews) - Scalability (5 reviews) - Reliability (4 reviews) **Cons:** - Expensive Pricing (3 reviews) - Unclear Pricing (3 reviews) - Expensive (2 reviews) - High Memory Usage (2 reviews) - Latency Issues (2 reviews) ### What Do G2 Reviewers Say About MongoDB Atlas? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **intuitive UI** of MongoDB Atlas, enhancing database management and providing a user-friendly experience. - Users appreciate the **intuitive UI** of MongoDB Atlas, which simplifies database management and enhances user experience. - Users appreciate the **intuitive UI** of MongoDB Atlas, making database management user-friendly and efficient. - Users appreciate the **scalability** of MongoDB Atlas, enabling effortless management and quick shipping of features. - Users value the **reliability** of MongoDB Atlas, experiencing consistent uptime and seamless database management without issues. **Cons:** - Users express frustration over MongoDB Atlas's **expensive pricing** , citing high costs without corresponding performance or support quality. - Users express frustration over **unclear pricing** , feeling forced into tiers that lead to unexpected costs and complexities. - Users criticize MongoDB Atlas for its **high pricing** , complex billing, and inadequate support, leading to dissatisfaction. - Users experience **high memory usage** with MongoDB Atlas, leading to significant performance issues and dissatisfaction. - Users face significant **latency issues** with MongoDB Atlas, experiencing slow performance during data operations and deletions. #### What Are Recent G2 Reviews of MongoDB Atlas? **"[Flexible Document Model and Fast Development with MongoDB Atlas](https://www.g2.com/survey_responses/mongodb-atlas-review-12863051)"** **Rating:** 4.5/5.0 stars *— Priyanshu J.* [Read full review](https://www.g2.com/survey_responses/mongodb-atlas-review-12863051) --- **"[Flexible, High-Performance Database with Easy Scaling](https://www.g2.com/survey_responses/mongodb-atlas-review-12533016)"** **Rating:** 4.5/5.0 stars *— Sai shivan J.* [Read full review](https://www.g2.com/survey_responses/mongodb-atlas-review-12533016) --- #### What Are G2 Users Discussing About MongoDB Atlas? - [What is MongoDB used for?](https://www.g2.com/discussions/what-is-mongodb-used-for) - 3 comments, 1 upvote - [What is MongoDB Charts used for?](https://www.g2.com/discussions/what-is-mongodb-charts-used-for) - [What is MongoDB and its advantages?](https://www.g2.com/discussions/what-is-mongodb-and-its-advantages) - 1 comment - [What are the features of MongoDB?](https://www.g2.com/discussions/what-are-the-features-of-mongodb) - 1 comment - [Is MongoDB a software?](https://www.g2.com/discussions/is-mongodb-a-software) - 2 comments ### 2. [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) 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:** 288 **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](https://www.g2.com/sellers/elastic) - **Company Website:** https://www.elastic.co - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @elastic (65,200 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (5,079 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% Mid-Market, 33% Enterprise #### What Are Elasticsearch's Pros and Cons? **Pros:** - Ease of Use (52 reviews) - Speed (36 reviews) - Fast Search (35 reviews) - Results (31 reviews) - Features (30 reviews) **Cons:** - Expensive (28 reviews) - Required Expertise (26 reviews) - Learning Difficulty (25 reviews) - Improvement Needed (24 reviews) - Difficult Learning (23 reviews) ### What Do G2 Reviewers Say About Elasticsearch? *AI-generated summary from verified user reviews* **Pros:** - Users find Elasticsearch to be **incredibly easy to use** , facilitating seamless integration and effective observability for developers. - Users commend Elasticsearch for its **impressive speed** , efficiently handling large datasets with powerful search capabilities. - Users value the **fast search capabilities** of Elasticsearch, enabling rapid insights from large datasets for effective troubleshooting. - Users commend the **blazing fast performance** and robust features of Elasticsearch, essential for effective application development. - Users appreciate the **powerful search and aggregation capabilities** of Elasticsearch, ensuring high performance and scalability for diverse needs. **Cons:** - Users find Elasticsearch **expensive to scale** , with high costs for data management and licensing for essential features. - Users find the **required expertise** for Elasticsearch to be significant, making it challenging for beginners to configure effectively. - Users find the **learning difficulty** of Elasticsearch overwhelming due to its complexity and resource-intensive nature. - Users find Elasticsearch **non-user-friendly** with a steep learning curve and complicated feature implementation, seeking improvements. - Users find the **difficult learning curve** of Elasticsearch challenging, requiring significant time and effort for proper understanding. #### What Are Recent G2 Reviews of Elasticsearch? **"[Impressive Speed and Powerful Near Real-Time Search with Elasticsearch](https://www.g2.com/survey_responses/elasticsearch-review-12579166)"** **Rating:** 5.0/5.0 stars *— Ertuğrul D.* [Read full review](https://www.g2.com/survey_responses/elasticsearch-review-12579166) --- **"[Simple UI, Seamless Integrations, and Strong Elasticsearch Performance](https://www.g2.com/survey_responses/elasticsearch-review-12835645)"** **Rating:** 4.5/5.0 stars *— Antonia F.* [Read full review](https://www.g2.com/survey_responses/elasticsearch-review-12835645) --- ### 3. [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) 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)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (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% Enterprise, 34% Mid-Market #### What Are Amazon DynamoDB's Pros and Cons? **Pros:** - Scalability (11 reviews) - Ease of Use (8 reviews) - Cost Efficiency (5 reviews) - Low Latency (5 reviews) - Managed Services (5 reviews) **Cons:** - Expensive (9 reviews) - Query Complexity (7 reviews) - Complexity (5 reviews) - Learning Curve (5 reviews) - Cost Issues (3 reviews) ### What Do G2 Reviewers Say About Amazon DynamoDB? *AI-generated summary from verified user reviews* **Pros:** - Users value the **exceptional scalability** of Amazon DynamoDB, ensuring reliable performance even during unpredictable workloads. - Users appreciate the **ease of use** of Amazon DynamoDB, benefiting from its fully managed and straightforward management. - Users appreciate the **cost efficiency** of Amazon DynamoDB, simplifying operations and reducing overhead without sacrificing performance. - Users value the **low-latency performance** of Amazon DynamoDB, making it ideal for high-traffic applications and services. - Users appreciate the **fully managed nature** of Amazon DynamoDB, which simplifies operations and boosts productivity significantly. **Cons:** - Users find the **cost structure of Amazon DynamoDB** confusing, leading to unexpected expenses if not managed carefully. - Users face **query complexity issues** in DynamoDB, which can lead to unexpected costs and performance challenges. - Users find the **complexity** of Amazon DynamoDB challenging, especially in data modeling and learning for newcomers. - Users find the **learning curve steep** in DynamoDB, especially with data modeling and complex queries. - Users face significant **cost management challenges** with DynamoDB, risking high expenses without careful optimization of queries. #### What Are Recent G2 Reviews of Amazon DynamoDB? **"[Fast, Fully Managed DynamoDB That Scales Effortlessly](https://www.g2.com/survey_responses/amazon-dynamodb-review-12535704)"** **Rating:** 4.5/5.0 stars *— Indresh G.* [Read full review](https://www.g2.com/survey_responses/amazon-dynamodb-review-12535704) --- **"[Highly Scalable, Low Latency Database with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-dynamodb-review-12782261)"** **Rating:** 4.5/5.0 stars *— Atharva P.* [Read full review](https://www.g2.com/survey_responses/amazon-dynamodb-review-12782261) --- #### What Are G2 Users Discussing About Amazon DynamoDB? - [What kind of database is DynamoDB?](https://www.g2.com/discussions/what-kind-of-database-is-dynamodb) - 1 comment - [What is AWS DynamoDB based on?](https://www.g2.com/discussions/what-is-aws-dynamodb-based-on) - 1 comment - [Which of the following is a feature of DynamoDB?](https://www.g2.com/discussions/which-of-the-following-is-a-feature-of-dynamodb) - 3 comments - [What is Amazon DynamoDB describe an application that can benefit from Amazon Dynamodb?](https://www.g2.com/discussions/what-is-amazon-dynamodb-describe-an-application-that-can-benefit-from-amazon-dynamodb) - 3 comments ### 4. [Amazon DocumentDB](https://www.g2.com/products/amazon-documentdb/reviews) Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB is designed from the ground-up to give you the scalability and durability you need when operating mission-critical MongoDB workloads. In Amazon DocumentDB, storage scales automatically up to 64TiB without any impact to your application. It supports millions of requests per second with up to 15 low latency read replicas in minutes, without any application downtime, regardless of the size of your data. Amazon DocumentDB now supports Global Clusters. Global Clusters is a new feature that provides disaster recovery from region-wide outages and enables low-latency global reads by allowing reads from the nearest Amazon DocumentDB cluster. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate your self-managed MongoDB databases to Amazon DocumentDB with virtually no downtime. **Average Rating:** 4.3/5.0 **Total Reviews:** 42 **How Do G2 Users Rate Amazon DocumentDB?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.5/10) - **Query Optimization:** 8.7/10 (Category avg: 8.0/10) - **Data Model:** 9.4/10 (Category avg: 8.5/10) - **Operating Systems:** 8.7/10 (Category avg: 8.3/10) **Who Is the Company Behind Amazon DocumentDB?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 39% Small-Business, 34% Enterprise #### What Are Amazon DocumentDB's Pros and Cons? **Pros:** - Cloud Computing (1 reviews) - Easy Integrations (1 reviews) - Integrations (1 reviews) - Reliability (1 reviews) **Cons:** - Complexity (1 reviews) - Dependency Issues (1 reviews) - Expensive (1 reviews) ### What Do G2 Reviewers Say About Amazon DocumentDB? *AI-generated summary from verified user reviews* **Pros:** - Users value the **reliable cloud computing services** provided by Amazon DocumentDB, enhancing their data management experience. - Users value the **easy integration** with other AWS services in Amazon DocumentDB, enhancing overall functionality and convenience. - Users value the **easy integration with AWS services** that Amazon DocumentDB provides, enhancing their overall experience. - Users commend the **reliable cloud computing services** of Amazon DocumentDB, enhancing their overall operational efficiency. **Cons:** - Users find it **very complicated to understand** Amazon DocumentDB, which can hinder effective utilization of the service. - Users find the **dependency issues** with Amazon DocumentDB problematic, especially when considering migration to other databases. - Users find Amazon DocumentDB to be **expensive** compared to other DBaaS providers, complicating potential migrations. #### What Are Recent G2 Reviews of Amazon DocumentDB? **"[A highly scalable fully managed JSON document database that allows you to encrypt data](https://www.g2.com/survey_responses/amazon-documentdb-review-8010734)"** **Rating:** 4.5/5.0 stars *— Srivishnu M.* [Read full review](https://www.g2.com/survey_responses/amazon-documentdb-review-8010734) --- **"[Documentdb user](https://www.g2.com/survey_responses/amazon-documentdb-review-11359776)"** **Rating:** 5.0/5.0 stars *— mangu d.* [Read full review](https://www.g2.com/survey_responses/amazon-documentdb-review-11359776) --- #### What Are G2 Users Discussing About Amazon DocumentDB? - [Is DocumentDB fully managed?](https://www.g2.com/discussions/is-documentdb-fully-managed) - [Is Amazon DocumentDB the same as MongoDB?](https://www.g2.com/discussions/is-amazon-documentdb-the-same-as-mongodb) - [What is AWS DocumentDB based on?](https://www.g2.com/discussions/what-is-aws-documentdb-based-on) - [What is AWS DocumentDB used for?](https://www.g2.com/discussions/what-is-aws-documentdb-used-for) ### 5. [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews) 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](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 53% Small-Business, 30% Mid-Market #### What Are Google Cloud Firestore's Pros and Cons? **Pros:** - API Integration (1 reviews) - Features (1 reviews) - Flexibility (1 reviews) - Innovation (1 reviews) - Integrations (1 reviews) **Cons:** - Expensive (1 reviews) - Unclear Pricing (1 reviews) ### What Do G2 Reviewers Say About Google Cloud Firestore? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **fast API integration** of Google Cloud Firestore, enabling seamless app connectivity and functionality. - Users appreciate the **scalability and wide service offerings** of Google Cloud Firestore, enhancing their project flexibility and reach. - Users value the **flexibility** of Google Cloud Firestore, enabling them to adapt solutions to their evolving needs. - Users value the **commitment to innovation** in Google Cloud Firestore, enhancing their development experience with cutting-edge features. - Users value the **seamless integrations** of Google Cloud Firestore with Google products, enhancing their overall experience and efficiency. **Cons:** - Users find the **pricing of Google Cloud Firestore** to be on the expensive side as usage increases. - Users find the **unclear pricing** of Google Cloud Firestore frustrating, especially as costs can escalate quickly. #### What Are Recent G2 Reviews of Google Cloud Firestore? **"[Google Cloud Firestore is best service to store data.](https://www.g2.com/survey_responses/google-cloud-firestore-review-9060016)"** **Rating:** 5.0/5.0 stars *— Vishnu P.* [Read full review](https://www.g2.com/survey_responses/google-cloud-firestore-review-9060016) --- **"[Fast, Serverless Firestore with Great Real-Time Features](https://www.g2.com/survey_responses/google-cloud-firestore-review-12251251)"** **Rating:** 4.5/5.0 stars *— Gudiya d.* [Read full review](https://www.g2.com/survey_responses/google-cloud-firestore-review-12251251) --- #### What Are G2 Users Discussing About Google Cloud Firestore? - [What is Google Cloud Firestore used for?](https://www.g2.com/discussions/what-is-google-cloud-firestore-used-for) - 1 comment - [What is firestore good for?](https://www.g2.com/discussions/what-is-firestore-good-for) - [Does firebase have Google cloud?](https://www.g2.com/discussions/does-firebase-have-google-cloud) - [Is Google firestore free?](https://www.g2.com/discussions/is-google-firestore-free) - [What is Google Cloud firestore?](https://www.g2.com/discussions/what-is-google-cloud-firestore) ### 6. [InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews) InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup. **Average Rating:** 4.6/5.0 **Total Reviews:** 59 **How Do G2 Users Rate InterSystems IRIS?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.5/10) - **Query Optimization:** 9.7/10 (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 InterSystems IRIS?** - **Seller:** [InterSystems](https://www.g2.com/sellers/intersystems) - **Year Founded:** 1978 - **HQ Location:** Cambridge, MA - **Twitter:** @InterSystems (61,310 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/6959 (2,115 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Hospital & Health Care - **Company Size:** 50% Small-Business, 28% Mid-Market #### What Are InterSystems IRIS's Pros and Cons? **Pros:** - Features (9 reviews) - Ease of Use (8 reviews) - Performance (8 reviews) - Customer Support (6 reviews) - Easy Integrations (6 reviews) **Cons:** - Difficult Learning (6 reviews) - Expensive (5 reviews) - Insufficient Documentation (5 reviews) - Learning Curve (5 reviews) - Poor Documentation (5 reviews) ### What Do G2 Reviewers Say About InterSystems IRIS? *AI-generated summary from verified user reviews* **Pros:** - Users value the **powerful features and flexibility** of InterSystems IRIS, enabling seamless data management and insightful analytics. - Users value the **ease of use** of InterSystems IRIS, noting its simple interface and administrative friendliness. - Users praise the **excellent performance and resource efficiency** of InterSystems IRIS, making data handling seamless and reliable. - Users appreciate the **excellent customer support** offered by InterSystems IRIS, often receiving prompt assistance. - Users value the **easy integrations** of InterSystems IRIS, making data connectivity straightforward and hassle-free. **Cons:** - Users find the **difficult learning curve** of InterSystems IRIS challenging, particularly for newcomers to the platform. - Users highlight the **high costs** associated with InterSystems IRIS, making it challenging for smaller projects or startups. - Users find the **insufficient documentation for advanced scenarios** can hinder their learning experience and progress. - Users find the **learning curve steep** , particularly for advanced features and cloud configurations, complicating the initial experience. - Users struggle with **poor documentation** , finding it challenging to locate specific examples for advanced features and scenarios. #### What Are Recent G2 Reviews of InterSystems IRIS? **"[Unified Programming and Complete Documentation Facilitate Use](https://www.g2.com/survey_responses/intersystems-iris-review-12189169)"** **Rating:** 4.0/5.0 stars *— Daniel s.* [Read full review](https://www.g2.com/survey_responses/intersystems-iris-review-12189169) --- **"[Powerful Out-of-the-Box Components and Effortless Customization](https://www.g2.com/survey_responses/intersystems-iris-review-12112009)"** **Rating:** 5.0/5.0 stars *— George G.* [Read full review](https://www.g2.com/survey_responses/intersystems-iris-review-12112009) --- #### What Are G2 Users Discussing About InterSystems IRIS? - [What is InterSystems IRIS used for?](https://www.g2.com/discussions/what-is-intersystems-iris-used-for) - 1 comment - [Who owns InterSystems?](https://www.g2.com/discussions/who-owns-intersystems) - [What is InterSystems Ensemble?](https://www.g2.com/discussions/intersystems-iris-what-is-intersystems-ensemble) - [What is Iris platform?](https://www.g2.com/discussions/what-is-iris-platform) - [What is InterSystems Iris?](https://www.g2.com/discussions/what-is-intersystems-iris) ### 7. [Couchbase](https://www.g2.com/products/couchbase/reviews) 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:** 143 **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](https://www.g2.com/sellers/couchbase) - **Company Website:** https://www.couchbase.com/ - **Year Founded:** 2009 - **HQ Location:** San Jose, CA - **Twitter:** @couchbase (136,110 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1866670/ (860 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-Business, 34% Enterprise #### What Are Couchbase's Pros and Cons? **Pros:** - Ease of Use (15 reviews) - Scalability (11 reviews) - Speed (7 reviews) - Flexibility (6 reviews) - MongoDB Compatibility (6 reviews) **Cons:** - Complex Configuration (8 reviews) - Difficult Learning (7 reviews) - Complexity (5 reviews) - Limited Community Growth (3 reviews) - Poor UI (3 reviews) ### What Do G2 Reviewers Say About Couchbase? *AI-generated summary from verified user reviews* **Pros:** - Users find Couchbase **easy to use** , with a simple implementation process and impressive real-time data access. - Users appreciate the **scalability** of Couchbase, which enhances performance and ensures high availability across multiple nodes. - Users love the **fast performance** of Couchbase, enhancing efficiency with low latency for large data storage. - Users value the **flexibility** of Couchbase, appreciating its adaptability and ease of integration for diverse use cases. - Users value the **MongoDB compatibility** of Couchbase, finding it easy to integrate and beneficial for their applications. **Cons:** - Users find the **complex configuration** of Couchbase challenging, especially during initial setup and user management. - Users face a **difficult learning curve** with Couchbase, struggling with complex setup and management of its features. - Users find the **complexity** of setting up Couchbase daunting, particularly regarding initial configuration and resource management. - Users find the **limited community growth** around Couchbase hinders support and knowledge sharing, impacting implementation ease. - Users find the **UI complicated** and suggest improvements for a better overall experience with Couchbase. #### What Are Recent G2 Reviews of Couchbase? **"[A robust solution for enterprises that are are AI adopters](https://www.g2.com/survey_responses/couchbase-review-10927695)"** **Rating:** 4.0/5.0 stars *— Bogdan Denis A.* [Read full review](https://www.g2.com/survey_responses/couchbase-review-10927695) --- **"[Couchbase Delivers Low-Latency Database Access](https://www.g2.com/survey_responses/couchbase-review-13093148)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/couchbase-review-13093148) --- #### What Are G2 Users Discussing About Couchbase? - [What are the benefits and challenges of using Couchbase for database management?](https://www.g2.com/discussions/what-are-the-benefits-and-challenges-of-using-couchbase-for-database-management) - [What is Couchbase used for?](https://www.g2.com/discussions/what-is-couchbase-used-for) - [What is Couchbase Capella used for?](https://www.g2.com/discussions/what-is-couchbase-capella-used-for) - [How do I start a couchbase server?](https://www.g2.com/discussions/how-do-i-start-a-couchbase-server) - 1 comment - [Is couchbase open source?](https://www.g2.com/discussions/is-couchbase-open-source) ### 8. [Amazon WorkDocs](https://www.g2.com/products/amazon-workdocs/reviews) 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:** 35 **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)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Company Size:** 46% Small-Business, 30% Mid-Market #### What Are Recent G2 Reviews of Amazon WorkDocs? **"[Simple, Easy to Use, and Great for All Skill Levels](https://www.g2.com/survey_responses/amazon-workdocs-review-12701654)"** **Rating:** 4.5/5.0 stars *— Anthony K.* [Read full review](https://www.g2.com/survey_responses/amazon-workdocs-review-12701654) --- **"[I have been using this portal for more than one and half year and its quite impressive.....!!!!!](https://www.g2.com/survey_responses/amazon-workdocs-review-5430290)"** **Rating:** 5.0/5.0 stars *— Sanne B.* [Read full review](https://www.g2.com/survey_responses/amazon-workdocs-review-5430290) --- #### What Are G2 Users Discussing About Amazon WorkDocs? - [What is Amazon WorkDocs used for?](https://www.g2.com/discussions/what-is-amazon-workdocs-used-for) ### 9. [AceBase realtime database](https://www.g2.com/products/acebase-realtime-database/reviews) A fast, low memory, transactional, index & query enabled NoSQL database engine and server for node.js and browser with realtime data change notifications. **Average Rating:** 4.6/5.0 **Total Reviews:** 17 **How Do G2 Users Rate AceBase realtime database?** - **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:** 9.2/10 (Category avg: 8.5/10) - **Operating Systems:** 9.4/10 (Category avg: 8.3/10) **Who Is the Company Behind AceBase realtime database?** - **Seller:** [Appy One / 8:45 Tools](https://www.g2.com/sellers/appy-one-8-45-tools) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 44% Mid-Market, 39% Small-Business #### What Are Recent G2 Reviews of AceBase realtime database? **"[Flexible and Lightweight Realtime NoSQL DB for Modern Apps](https://www.g2.com/survey_responses/acebase-realtime-database-review-7546110)"** **Rating:** 4.5/5.0 stars *— MOHAMMAD S.* [Read full review](https://www.g2.com/survey_responses/acebase-realtime-database-review-7546110) --- **"[Helpful and Innovative](https://www.g2.com/survey_responses/acebase-realtime-database-review-8586190)"** **Rating:** 4.0/5.0 stars *— Yash V V.* [Read full review](https://www.g2.com/survey_responses/acebase-realtime-database-review-8586190) --- #### What Are G2 Users Discussing About AceBase realtime database? - [What is GitHub AceBase realtime database used for?](https://www.g2.com/discussions/what-is-github-acebase-realtime-database-used-for) ### 10. [RavenDB](https://www.g2.com/products/ravendb/reviews) RavenDB is a fully ACID-compliant, multi-model NoSQL document database designed for developers building high-performance, distributed applications. It delivers fast reads and writes, native full-text and vector search for AI workloads, and automatic indexing for low-latency queries. With real-time data replication, horizontal scaling, built-in data encryption, and seamless cloud or on-premise deployment options, RavenDB supports mission-critical systems with minimal operational overhead. Trusted by over 12,000 organizations—including Toyota, Verizon, and Rakuten Kobo—RavenDB is ideal for teams that need a reliable, developer-friendly database for microservices, cloud-native architectures, and AI-powered search. **Average Rating:** 4.4/5.0 **Total Reviews:** 13 **How Do G2 Users Rate RavenDB?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.5/10) - **Query Optimization:** 8.0/10 (Category avg: 8.0/10) - **Data Model:** 8.7/10 (Category avg: 8.5/10) - **Operating Systems:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind RavenDB?** - **Seller:** [RavenDB](https://www.g2.com/sellers/ravendb) - **Year Founded:** 2008 - **HQ Location:** Caesarea, Israel - **Twitter:** @RavenDB (2,159 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hibernating-rhinos-ltd-/ (58 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 57% Small-Business, 21% Mid-Market #### What Are RavenDB's Pros and Cons? **Pros:** - Speed (1 reviews) - Useful (1 reviews) ### What Do G2 Reviewers Say About RavenDB? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **speed and efficiency** of RavenDB, which streamlines development and reduces system complexity. - Users appreciate the **well-designed features** of RavenDB, which simplify development and reduce stack complexity. #### What Are Recent G2 Reviews of RavenDB? **"[Super fast and easy NOSQL database with support for SQL (RQL)](https://www.g2.com/survey_responses/ravendb-review-8881853)"** **Rating:** 5.0/5.0 stars *— Arild H.* [Read full review](https://www.g2.com/survey_responses/ravendb-review-8881853) --- **"[Feature-Rich Database That Simplifies Our Tech Stack](https://www.g2.com/survey_responses/ravendb-review-12049406)"** **Rating:** 5.0/5.0 stars *— Georgios D.* [Read full review](https://www.g2.com/survey_responses/ravendb-review-12049406) --- #### What Are G2 Users Discussing About RavenDB? - [Is RavenDB free?](https://www.g2.com/discussions/is-ravendb-free) - [Is RavenDB open source?](https://www.g2.com/discussions/is-ravendb-open-source) - [Who uses RavenDB?](https://www.g2.com/discussions/who-uses-ravendb) - [Why use RavenDB?](https://www.g2.com/discussions/why-use-ravendb) ### 11. [Progress MarkLogic](https://www.g2.com/products/progress-marklogic/reviews) 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](https://www.g2.com/sellers/progress-software) - **Company Website:** https://www.progress.com/ - **Year Founded:** 1981 - **HQ Location:** Burlington, MA. - **Twitter:** @ProgressSW (48,773 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/progress-software/ (4,205 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 53% Enterprise, 24% Small-Business #### What Are Recent G2 Reviews of Progress MarkLogic? **"[I am technical support engineer working with Microsoft with azure identity](https://www.g2.com/survey_responses/progress-marklogic-review-9456409)"** **Rating:** 4.5/5.0 stars *— Dar A.* [Read full review](https://www.g2.com/survey_responses/progress-marklogic-review-9456409) --- **"[Robust Data Management with MarkLogic's Advanced Features](https://www.g2.com/survey_responses/progress-marklogic-review-12862116)"** **Rating:** 4.5/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/progress-marklogic-review-12862116) --- #### What Are G2 Users Discussing About Progress MarkLogic? - [What is MarkLogic used for?](https://www.g2.com/discussions/marklogic-what-is-marklogic-used-for) - 1 comment, 1 upvote - [Is MarkLogic a graph database?](https://www.g2.com/discussions/is-marklogic-a-graph-database) - 1 upvote - [Is MarkLogic open source?](https://www.g2.com/discussions/is-marklogic-open-source) - 1 comment, 1 upvote - [Which of the following features are available with MarkLogic search?](https://www.g2.com/discussions/which-of-the-following-features-are-available-with-marklogic-search) - [What is MarkLogic used for?](https://www.g2.com/discussions/what-is-marklogic-used-for) ### 12. [IBM Cloudant](https://www.g2.com/products/ibm-cloudant/reviews) Fully Managed — IBM Cloud service provides a fully managed, distributed JSON document database. Instantly deploy an instance, create databases, and independently scale throughput capacity and data storage to meet your application requirements. IBM expertise takes away the pain of hardware and software provisioning, patching and upgrades, while offering a 99.95 percent SLA. Secure — Cloudant is ISO27001, SOC 2 Type 2 compliant and HIPAA ready. All data is encrypted over the wire and at rest with optional user-defined key management through IBM Key Protect. Cloudant also offers an EU-managed service, that ensures all data and operations are handled solely by EU citizens. Global Availability — Available in all IBM Cloud regions and 55+ data centers across the world, Cloudant can easily be set up for disaster recovery between continents or scaling an app for a global release through a horizontal scaling architecture that can handle millions of users and terabytes of data to grow seamlessly alongside your business. All Cloudant instances are deployed on clusters that span availability zones in regions that support them, for added durability at no extra cost. Data flexibility — Leverage a flexible JSON schema and powerful API that is compatible with Apache CouchDB™, enabling you to access an abundance of language libraries and tools to rapidly build new applications and features. Durable replication — Move application data closer to all the places it needs to be — for uninterrupted data access, offline or on. Cloudant helps teams build Progressive Web Apps, develop with an offline-first architecture or manipulate data on edge devices. Powerful serverless API — Enhance your applications with built-in key-value, MapReduce, full-text search and geospatial querying that go beyond simple bounding boxes. Stream the changes feed for seamless integration with event-driven applications and IBM Cloud functions. **Average Rating:** 3.8/5.0 **Total Reviews:** 39 **How Do G2 Users Rate IBM Cloudant?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.5/10) - **Query Optimization:** 8.8/10 (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 IBM Cloudant?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 48% Small-Business, 31% Enterprise #### What Are Recent G2 Reviews of IBM Cloudant? **"[A flexible and easy to use Database](https://www.g2.com/survey_responses/ibm-cloudant-review-7662000)"** **Rating:** 4.0/5.0 stars *— SHREEKARKOLANU R.* [Read full review](https://www.g2.com/survey_responses/ibm-cloudant-review-7662000) --- **"[IBM Cloudant Database](https://www.g2.com/survey_responses/ibm-cloudant-review-5474880)"** **Rating:** 5.0/5.0 stars *— shivam k.* [Read full review](https://www.g2.com/survey_responses/ibm-cloudant-review-5474880) --- #### What Are G2 Users Discussing About IBM Cloudant? - [What is IBM Cloudant used for?](https://www.g2.com/discussions/what-is-ibm-cloudant-used-for) - [Which field can be used to look up a document in a cloudant database by using the primary index?](https://www.g2.com/discussions/which-field-can-be-used-to-look-up-a-document-in-a-cloudant-database-by-using-the-primary-index) - [Which type of NoSQL database is cloudant?](https://www.g2.com/discussions/which-type-of-nosql-database-is-cloudant) - [Which type of deployments does cloudant offer?](https://www.g2.com/discussions/which-type-of-deployments-does-cloudant-offer) - [What is cloudant database?](https://www.g2.com/discussions/what-is-cloudant-database) - 1 comment ### 13. [Arango](https://www.g2.com/products/arango/reviews) 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](https://www.g2.com/sellers/arango) - **Year Founded:** 2015 - **HQ Location:** San Francisco, CA - **LinkedIn® Page:** https://www.linkedin.com/company/5289249/ (116 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-Business, 23% Mid-Market #### What Are Arango's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Features (10 reviews) - Querying (7 reviews) - Intuitive (6 reviews) - Customization (5 reviews) **Cons:** - Poor Usability (5 reviews) - Difficult Learning (4 reviews) - Improvement Needed (4 reviews) - Learning Curve (4 reviews) - Learning Difficulty (4 reviews) ### What Do G2 Reviewers Say About Arango? *AI-generated summary from verified user reviews* **Pros:** - Users find Arango's **ease of use** impressive, enjoying its intuitive interface and quick learning AQL queries. - Users appreciate the **versatile data handling** of Arango, enjoying its powerful engine and user-friendly installation. - Users appreciate the **flexibility and ease of use** in Arango's querying features, making complex operations straightforward. - Users value ArangoDB's **intuitive query language** , making it easy for newcomers to adapt and perform complex operations. - Users appreciate the **customization flexibility** of Arango, enabling easy query writing and a versatile database experience. **Cons:** - Users find the **poor usability** of ArangoDB challenging, particularly with operations and setup complexity in AQL. - Users find the **difficult learning** process challenging, particularly with complex queries and limited support options. - Users find the **graphical design lacking** and the setup for semantic search complicated, requiring more intuitive options. - Users find the **learning curve steep** , especially for complex queries, limiting initial database building efficiency. - Users find the **learning difficulty** challenging due to a steep curve and limited support for complex queries. #### What Are Recent G2 Reviews of Arango? **"[Flexible, High-Performance Database That's Easy to Use](https://www.g2.com/survey_responses/arango-review-11983567)"** **Rating:** 5.0/5.0 stars *— Amar K.* [Read full review](https://www.g2.com/survey_responses/arango-review-11983567) --- **"[ArangoDB Delivers the Best All-Around Experience](https://www.g2.com/survey_responses/arango-review-11922161)"** **Rating:** 5.0/5.0 stars *— Ahemadraza P.* [Read full review](https://www.g2.com/survey_responses/arango-review-11922161) --- #### What Are G2 Users Discussing About Arango? - [What is ArangoDB used for?](https://www.g2.com/discussions/what-is-arangodb-used-for) - 1 comment - [What is AQL query?](https://www.g2.com/discussions/what-is-aql-query) - [Is ArangoDB open source?](https://www.g2.com/discussions/is-arangodb-open-source) - [Is ArangoDB free?](https://www.g2.com/discussions/is-arangodb-free) - 1 comment - [What does ArangoDB do?](https://www.g2.com/discussions/what-does-arangodb-do) ### 14. [Redis Software](https://www.g2.com/products/redis-software/reviews) Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance and scalability to meet your specific needs. Redis Software builds on the speed and reliability of Redis Community Edition with advanced features like active-active geo-distribution, advanced query and search capabilities, automated data synchronization, and superior security features. These enhancements provide enterprise-grade performance, reliability, and security, making Redis Software the ideal choice for production-grade applications. **Average Rating:** 4.5/5.0 **Total Reviews:** 130 **How Do G2 Users Rate Redis Software?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.5/10) - **Query Optimization:** 9.2/10 (Category avg: 8.0/10) - **Data Model:** 8.3/10 (Category avg: 8.5/10) - **Operating Systems:** 8.8/10 (Category avg: 8.3/10) **Who Is the Company Behind Redis Software?** - **Seller:** [Redis](https://www.g2.com/sellers/redis) - **Year Founded:** 2011 - **HQ Location:** San Francisco, CA - **Twitter:** @Redisinc (44,002 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2014725/ (1,542 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:** 54% Small-Business, 26% Mid-Market #### What Are Redis Software's Pros and Cons? **Pros:** - Useful (2 reviews) - Cost Efficiency (1 reviews) - Customization (1 reviews) - Data Storage (1 reviews) - Ease of Setup (1 reviews) **Cons:** - Data Size Limitations (1 reviews) - Expensive (1 reviews) - Limited Chart Features (1 reviews) - Poor UI (1 reviews) - Slow Performance (1 reviews) ### What Do G2 Reviewers Say About Redis Software? *AI-generated summary from verified user reviews* **Pros:** - Users find Redis Software to be a **highly useful cache provider** , especially for Python and data-related projects. - Users find **cost efficiency** in Redis Software, notably through reduced RAM usage and streamlined setup processes. - Users appreciate the **customization features** of Redis Software, enabling tailored setups that enhance efficiency and performance. - Users appreciate the **efficient data storage** of Redis, enabling smooth operation even during peak traffic without issues. - Users find Redis Software to be **easy to set up** for Python and data projects, enhancing their workflow efficiency. **Cons:** - Users face **data size limitations** in Redis, impacting backup efficiency and application scalability. - Users find the **expensive licensing** of Redis Software prohibitive for SMBs, especially compared to open-source alternatives. - Users find the **limited chart features** in Redis Software hinder effective data visualization and analysis. - Users find the **poor UI** of Redis Software challenging, especially when managing large clusters effectively. - Users report **slow performance** during data embedding, leading to longer wait times for semantic searches and processes. #### What Are Recent G2 Reviews of Redis Software? **"[Low-Latency Key Store That Excels at Session Management](https://www.g2.com/survey_responses/redis-software-review-12468920)"** **Rating:** 5.0/5.0 stars *— Pawan M.* [Read full review](https://www.g2.com/survey_responses/redis-software-review-12468920) --- **"[Effortless Scalability with Active-Active Geo-Replication](https://www.g2.com/survey_responses/redis-software-review-12123962)"** **Rating:** 4.5/5.0 stars *— Yash D.* [Read full review](https://www.g2.com/survey_responses/redis-software-review-12123962) --- #### What Are G2 Users Discussing About Redis Software? - [What is Redis used for?](https://www.g2.com/discussions/what-is-redis-used-for) - 1 comment - [Is NoSQL a Redis?](https://www.g2.com/discussions/is-nosql-a-redis) - [What is a Redis key?](https://www.g2.com/discussions/what-is-a-redis-key) - [Can you use Redis as a database?](https://www.g2.com/discussions/can-you-use-redis-as-a-database) - [What is Redis useful for?](https://www.g2.com/discussions/what-is-redis-useful-for) ### 15. [Percona Server for MongoDB](https://www.g2.com/products/percona-server-for-mongodb/reviews) Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class features from Percona. Built on the MongoDB Community Edition, Percona Server for MongoDB provides flexible data structure, native high availability, easy scalability, and developer-friendly syntax. It also includes an in-memory engine, hot backups, LDAP authentication, database auditing, and log redaction. **Average Rating:** 4.6/5.0 **Total Reviews:** 36 **How Do G2 Users Rate Percona Server for MongoDB?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.5/10) - **Query Optimization:** 8.6/10 (Category avg: 8.0/10) - **Data Model:** 8.2/10 (Category avg: 8.5/10) - **Operating Systems:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Percona Server for MongoDB?** - **Seller:** [Percona](https://www.g2.com/sellers/percona) - **Year Founded:** 2006 - **HQ Location:** Durham, North Carolina - **Twitter:** @Percona (16,424 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/421929/ (347 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Education Management - **Company Size:** 54% Small-Business, 29% Mid-Market #### What Are Recent G2 Reviews of Percona Server for MongoDB? **"[Excellent Product](https://www.g2.com/survey_responses/percona-server-for-mongodb-review-4508057)"** **Rating:** 5.0/5.0 stars *— Aswin G.* [Read full review](https://www.g2.com/survey_responses/percona-server-for-mongodb-review-4508057) --- **"[Percona server review](https://www.g2.com/survey_responses/percona-server-for-mongodb-review-5304365)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/percona-server-for-mongodb-review-5304365) --- #### What Are G2 Users Discussing About Percona Server for MongoDB? - [What is Percona Server for MongoDB used for?](https://www.g2.com/discussions/what-is-percona-server-for-mongodb-used-for) - [Is MongoDB Enterprise Edition free?](https://www.g2.com/discussions/is-mongodb-enterprise-edition-free) - [Is percona free?](https://www.g2.com/discussions/is-percona-free) - [What is percona database?](https://www.g2.com/discussions/what-is-percona-database) - [What is percona server for MongoDB?](https://www.g2.com/discussions/what-is-percona-server-for-mongodb) ### 16. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) 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](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Enterprise, 28% Mid-Market #### What Are Azure Cosmos DB's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Features (3 reviews) - Integrations (3 reviews) - Scalability (3 reviews) - Customization (2 reviews) **Cons:** - Expensive (3 reviews) - Cost Issues (2 reviews) - Complexity Issues (1 reviews) - Complex Usage (1 reviews) - Cost Increase (1 reviews) ### 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, benefiting from its intuitive interface and configuration simplicity. - Users value the **speed and flexibility** of Azure Cosmos DB, enjoying its extensive features and ease of use. - Users praise the **seamless integration** capabilities of Azure Cosmos DB with Microsoft services and various APIs. - Users value the **instant scalability** of Azure Cosmos DB, appreciating its ease of use and integration capabilities. - Users value the **customization options** of Azure Cosmos DB, allowing tailored solutions for diverse use cases. **Cons:** - Users find the **high cost** of Azure Cosmos DB to be a significant drawback, especially with unoptimized storage. - Users express concerns about the **high costs** associated with Azure Cosmos DB, particularly if storage isn't optimized. - Users find the **complexity issues** of Azure Cosmos DB challenging, particularly regarding its cost structure and limitations. - Users find the **complex usage** of Azure Cosmos DB challenging, requiring significant learning for effective application. - Users report that costs can **increase significantly** if storage is not optimized and partitioned properly in Azure Cosmos DB. #### What Are Recent G2 Reviews of Azure Cosmos DB? **"[Best Database for any team](https://www.g2.com/survey_responses/azure-cosmos-db-review-10736939)"** **Rating:** 5.0/5.0 stars *— Aman V.* [Read full review](https://www.g2.com/survey_responses/azure-cosmos-db-review-10736939) --- **"[Azure- A great cloud platform](https://www.g2.com/survey_responses/azure-cosmos-db-review-10672079)"** **Rating:** 5.0/5.0 stars *— Harish K.* [Read full review](https://www.g2.com/survey_responses/azure-cosmos-db-review-10672079) --- #### What Are G2 Users Discussing About Azure Cosmos DB? - [What needs improvement with Azure Cosmos DB to better meet your database requirements?](https://www.g2.com/discussions/what-needs-improvement-with-azure-cosmos-db-to-better-meet-your-database-requirements) - [What is Azure Cosmos DB used for?](https://www.g2.com/discussions/azure-cosmos-db-what-is-azure-cosmos-db-used-for) - [Is Cosmos a DB SaaS?](https://www.g2.com/discussions/is-cosmos-a-db-saas) - [What type of database is cosmos?](https://www.g2.com/discussions/what-type-of-database-is-cosmos) - [Is Azure Cosmos DB PaaS?](https://www.g2.com/discussions/is-azure-cosmos-db-paas) ### 17. [CrateDB](https://www.g2.com/products/cratedb/reviews) The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity. **Average Rating:** 4.4/5.0 **Total Reviews:** 82 **How Do G2 Users Rate CrateDB?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.5/10) - **Query Optimization:** 8.3/10 (Category avg: 8.0/10) - **Data Model:** 9.8/10 (Category avg: 8.5/10) - **Operating Systems:** 9.4/10 (Category avg: 8.3/10) **Who Is the Company Behind CrateDB?** - **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb) - **Company Website:** https://cratedb.com/ - **Year Founded:** 2013 - **HQ Location:** Redwood City, CA - **Twitter:** @cratedb (4,176 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/crateio/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 54% Small-Business, 31% Mid-Market #### What Are CrateDB's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - SQL Usage (11 reviews) - Easy Integrations (10 reviews) - Flexibility (10 reviews) - Features (9 reviews) **Cons:** - Lack of Features (5 reviews) - Software Limitations (4 reviews) - Limited Features (3 reviews) - Poor Documentation (3 reviews) - Complex Configuration (2 reviews) ### What Do G2 Reviewers Say About CrateDB? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of CrateDB, appreciating its simple setup and familiar SQL querying capabilities. - Users appreciate the **fast SQL queries** of CrateDB, enabling instant data processing and exceptional performance with ease. - Users value the **easy integrations** of CrateDB, simplifying the onboarding process and enhancing productivity. - Users value the **flexibility** of CrateDB, appreciating its adaptability for diverse company needs and deployment options. - Users appreciate the **versatile data handling** of CrateDB, enhancing their ability to manage various data types effectively. **Cons:** - Users note the **lack of features** in CrateDB, particularly in comparison tools and advanced SQL functionalities. - Users express concerns about **software limitations** , particularly in connectors, SQL capabilities, and ORM support. - Users express concerns about **limited features** in CrateDB, particularly regarding connectors, tools, and advanced SQL capabilities. - Users find the **poor documentation** of CrateDB lacking in detail for Kubernetes configurations and integrations. - Users find the **complex configuration** aspect challenging, especially with Kubernetes and limited documentation for self management. #### What Are Recent G2 Reviews of CrateDB? **"[Easy Setup, High Performance SQL](https://www.g2.com/survey_responses/cratedb-review-12043586)"** **Rating:** 4.0/5.0 stars *— Marcin G.* [Read full review](https://www.g2.com/survey_responses/cratedb-review-12043586) --- **"[Scalable Real-Time Time-Series SQL That’s Built for Observability](https://www.g2.com/survey_responses/cratedb-review-12452794)"** **Rating:** 5.0/5.0 stars *— Cristian M.* [Read full review](https://www.g2.com/survey_responses/cratedb-review-12452794) --- ### 18. [SQL-RD SSRS Data Driven Automation](https://www.g2.com/products/sql-rd-ssrs-data-driven-automation/reviews) SQL-RD is a robust automation tool designed to streamline the scheduling and delivery of Microsoft SQL Server Reporting Services (SSRS) reports. By automating report generation and distribution, SQL-RD enhances operational efficiency and ensures timely access to critical business information. Key Features and Functionality: - Automated Scheduling: Set up reports to run at predefined intervals—daily, weekly, monthly, or custom frequencies—eliminating the need for manual intervention. - Data-Driven Subscriptions: Utilize dynamic data queries to personalize report content and distribution, ensuring recipients receive relevant information tailored to their needs. - Flexible Delivery Options: Distribute reports in various formats, including PDF, Excel, Word, HTML, and CSV, through multiple channels such as email, FTP, SharePoint, printers, or local directories. - Event-Based Scheduling: Trigger report generation and delivery based on specific events or data changes, ensuring reports reflect the most current information. - Exception Handling: Implement rules to manage scenarios like blank reports, preventing unnecessary or erroneous report distribution. Primary Value and User Solutions: SQL-RD addresses the challenges associated with manual report management by automating the entire process, from generation to distribution. This automation reduces the risk of human error, saves time, and ensures that stakeholders receive accurate and timely reports. By supporting data-driven subscriptions and event-based scheduling, SQL-RD enables organizations to deliver personalized and relevant information, enhancing decision-making processes and overall business intelligence capabilities. **Average Rating:** 4.4/5.0 **Total Reviews:** 14 **How Do G2 Users Rate SQL-RD SSRS Data Driven Automation?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.5/10) - **Query Optimization:** 6.7/10 (Category avg: 8.0/10) - **Data Model:** 7.5/10 (Category avg: 8.5/10) - **Operating Systems:** 6.7/10 (Category avg: 8.3/10) **Who Is the Company Behind SQL-RD SSRS Data Driven Automation?** - **Seller:** [ChristianSteven Software](https://www.g2.com/sellers/christiansteven-software) - **Year Founded:** 2002 - **HQ Location:** Charlotte, NC - **Twitter:** @csssoft (3,639 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/224724/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 57% Mid-Market, 29% Enterprise #### What Are SQL-RD SSRS Data Driven Automation's Pros and Cons? **Pros:** - Backup Automation (1 reviews) - Flexibility (1 reviews) - Options (1 reviews) **Cons:** - Complex Configuration (1 reviews) - Poor UI (1 reviews) ### What Do G2 Reviewers Say About SQL-RD SSRS Data Driven Automation? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **backup automation** of SQL-RD SSRS, saving time with effortless scheduled report deliveries. - Users appreciate the **flexibility in scheduling and automation** that saves time and adapts to various client needs. - Users value the **automation and scheduling** features of SQL-RD, enhancing efficiency and minimizing manual report handling. **Cons:** - Users find the **complex configuration** process time-consuming, especially if they are not experienced with the interface. - Users find the **poor UI** somewhat outdated and not intuitive, making initial configuration time-consuming for newcomers. #### What Are Recent G2 Reviews of SQL-RD SSRS Data Driven Automation? **"[Works fantastically](https://www.g2.com/survey_responses/sql-rd-ssrs-data-driven-automation-review-7531339)"** **Rating:** 5.0/5.0 stars *— Aaron J.* [Read full review](https://www.g2.com/survey_responses/sql-rd-ssrs-data-driven-automation-review-7531339) --- **"[Good tool for automating SQL reports](https://www.g2.com/survey_responses/sql-rd-ssrs-data-driven-automation-review-11714704)"** **Rating:** 5.0/5.0 stars *— Isabel .* [Read full review](https://www.g2.com/survey_responses/sql-rd-ssrs-data-driven-automation-review-11714704) --- #### What Are G2 Users Discussing About SQL-RD SSRS Data Driven Automation? - [What are the different types of subscriptions in SSRS?](https://www.g2.com/discussions/what-are-the-different-types-of-subscriptions-in-ssrs) - [Does SSRS use SQL?](https://www.g2.com/discussions/does-ssrs-use-sql) - [What is SSRS data driven?](https://www.g2.com/discussions/what-is-ssrs-data-driven) - [What is SQL Rd?](https://www.g2.com/discussions/what-is-sql-rd) ### 19. [OrientDB](https://www.g2.com/products/orientdb/reviews) OrientDB is the first Multi-Model Distributed DBMS with a True Graph Engine. Multi-Model means 2nd generation NoSQL able to manage complex domain with incredible performance. OrientDB manages relationships without using JOINs, but rather direct pointers. This allows to have constant performance on traversing relationships, no matter the database size. **Average Rating:** 3.9/5.0 **Total Reviews:** 58 **How Do G2 Users Rate OrientDB?** - **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.5/10) - **Query Optimization:** 7.7/10 (Category avg: 8.0/10) - **Data Model:** 9.0/10 (Category avg: 8.5/10) - **Operating Systems:** 8.0/10 (Category avg: 8.3/10) **Who Is the Company Behind OrientDB?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) - **Ownership:** NYSE:SAP **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Small-Business, 42% Mid-Market #### What Are Recent G2 Reviews of OrientDB? **"["Best tool for Data Analyse"](https://www.g2.com/survey_responses/orientdb-review-10197417)"** **Rating:** 4.5/5.0 stars *— Rupali S.* [Read full review](https://www.g2.com/survey_responses/orientdb-review-10197417) --- **"[Query performance optimizations by OrientDB are splendid for retrieval of specific data from graph](https://www.g2.com/survey_responses/orientdb-review-7404425)"** **Rating:** 4.0/5.0 stars *— Varshini S.* [Read full review](https://www.g2.com/survey_responses/orientdb-review-7404425) --- #### What Are G2 Users Discussing About OrientDB? - [What is multi-model database service?](https://www.g2.com/discussions/what-is-multi-model-database-service) - [Is OrientDB a native graph database?](https://www.g2.com/discussions/is-orientdb-a-native-graph-database) - [What type of database is OrientDB?](https://www.g2.com/discussions/what-type-of-database-is-orientdb) - [How OrientDB works?](https://www.g2.com/discussions/how-orientdb-works) ### 20. [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) 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. **Average Rating:** 4.5/5.0 **Total Reviews:** 105 **How Do G2 Users Rate Elastic Stack?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.5/10) - **Query Optimization:** 7.3/10 (Category avg: 8.0/10) - **Data Model:** 8.3/10 (Category avg: 8.5/10) - **Operating Systems:** 9.2/10 (Category avg: 8.3/10) **Who Is the Company Behind Elastic Stack?** - **Seller:** [Elastic](https://www.g2.com/sellers/elastic) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @elastic (65,200 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (5,079 employees on LinkedIn®) - **Ownership:** NYSE: ESTC **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 34% Enterprise #### What Are Elastic Stack's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Flexibility (3 reviews) - Log Management (3 reviews) - Search Efficiency (3 reviews) - Versatility (3 reviews) **Cons:** - Resource Management (3 reviews) - Complexity Issues (2 reviews) - Expensive (2 reviews) - High Memory Usage (2 reviews) - Learning Curve (2 reviews) ### What Do G2 Reviewers Say About Elastic Stack? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Elastic Stack, enjoying a unified platform for logs, metrics, and analysis. - Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse deployment models. - Users appreciate the **unified log management** of Elastic Stack, enabling quick issue correlation and comprehensive system understanding. - Users value the **search efficiency** of Elastic Stack, enabling quick correlation of issues and comprehensive system insights. - Users value the **versatility** of Elastic Stack, praising its adaptability across diverse tools and deployment models. **Cons:** - Users find the **resource management challenges** of Elastic Stack complex and requiring significant expertise for optimal performance. - Users find the **complexity of managing clusters and performance tuning** a significant challenge without deep expertise. - Users find the **cost of resources** for Elastic Stack to be high, especially when managing large-scale implementations. - Users face challenges with **high memory usage** in Elastic Stack, leading to increased costs and management complexities at scale. - Users find the **learning curve steep** with Elastic Stack, requiring substantial expertise for optimal cluster management and performance. #### What Are Recent G2 Reviews of Elastic Stack? **"[Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations](https://www.g2.com/survey_responses/elastic-stack-review-12683691)"** **Rating:** 5.0/5.0 stars *— Jai P.* [Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12683691) --- **"[Powerful Centralized Log Management with Elastic Stack](https://www.g2.com/survey_responses/elastic-stack-review-12951407)"** **Rating:** 4.0/5.0 stars *— Ravindra N.* [Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12951407) --- #### What Are G2 Users Discussing About Elastic Stack? - [How has Elastic Stack impacted your data search and analytics capabilities, and what do you recommend to new users?](https://www.g2.com/discussions/how-has-elastic-stack-impacted-your-data-search-and-analytics-capabilities-and-what-do-you-recommend-to-new-users) - [What is Kibana monitoring?](https://www.g2.com/discussions/what-is-kibana-monitoring) - [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment - [What is Kibana built with?](https://www.g2.com/discussions/what-is-kibana-built-with) - [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment ### 21. [Redis Cloud](https://www.g2.com/products/redis-cloud/reviews) Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, without the hassle of managing infrastructure. Redis Cloud surpasses Redis-compatible cloud services built on open source such as Amazon ElastiCache and Google Cloud Memorystore by offering enterprise-grade features like active-active geo-distribution, advanced query and search capabilities, seamless data synchronization, and multi-cloud support. **Average Rating:** 4.6/5.0 **Total Reviews:** 42 **How Do G2 Users Rate Redis Cloud?** - **Has the product been a good partner in doing business?:** 9.2/10 (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 Redis Cloud?** - **Seller:** [Redis](https://www.g2.com/sellers/redis) - **Year Founded:** 2011 - **HQ Location:** San Francisco, CA - **Twitter:** @Redisinc (44,002 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2014725/ (1,542 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small-Business, 41% Mid-Market #### What Are Recent G2 Reviews of Redis Cloud? **"[Redis Cloud Delivers Speed and Reliability with Hassle-Free Managed Scaling](https://www.g2.com/survey_responses/redis-cloud-review-11743730)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer & Network Security* [Read full review](https://www.g2.com/survey_responses/redis-cloud-review-11743730) --- **"[Redis key deploying](https://www.g2.com/survey_responses/redis-cloud-review-11239966)"** **Rating:** 5.0/5.0 stars *— mangu d.* [Read full review](https://www.g2.com/survey_responses/redis-cloud-review-11239966) --- #### What Are G2 Users Discussing About Redis Cloud? - [What is Redis architecture?](https://www.g2.com/discussions/what-is-redis-architecture) - 1 comment - [Is Redis Enterprise Open Source?](https://www.g2.com/discussions/is-redis-enterprise-open-source) - [Is Redis enterprise software free?](https://www.g2.com/discussions/is-redis-enterprise-software-free) - [What is Enterprise Redis?](https://www.g2.com/discussions/what-is-enterprise-redis) ### 22. [Fauna](https://www.g2.com/products/fauna-fauna/reviews) Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg. **Average Rating:** 4.4/5.0 **Total Reviews:** 25 **How Do G2 Users Rate Fauna?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.5/10) - **Query Optimization:** 9.3/10 (Category avg: 8.0/10) - **Data Model:** 9.4/10 (Category avg: 8.5/10) - **Operating Systems:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Fauna?** - **Seller:** [Fauna](https://www.g2.com/sellers/fauna) - **Year Founded:** 2015 - **HQ Location:** San Francisco, CA - **Twitter:** @fauna (93,015 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/faunadb/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 64% Small-Business, 24% Mid-Market #### What Are Fauna's Pros and Cons? **Pros:** - Scalability (4 reviews) - Ease of Use (3 reviews) - Flexibility (3 reviews) - Reliability (3 reviews) - Customer Support (2 reviews) **Cons:** - Difficult Learning (2 reviews) - Poor Documentation (2 reviews) - Complexity (1 reviews) - Complex Setup (1 reviews) - Cost Issues (1 reviews) ### What Do G2 Reviewers Say About Fauna? *AI-generated summary from verified user reviews* **Pros:** - Users value the **high scalability** of Fauna, benefiting from its serverless architecture and global consistency. - Users find Fauna to be incredibly **easy to use** , with a straightforward setup and simple query language. - Users appreciate the **flexibility** of Fauna, enabling easy prototyping and smooth transitions from existing databases. - Users commend Fauna for its **reliability** , finding it highly scalable and efficient in diverse applications. - Users praise Fauna's **excellent customer support** , noting their responsiveness and effectiveness throughout the setup process. **Cons:** - Users find the **difficult learning** curve of Fauna frustrating, hindering effective use and data exploration. - Users struggle with **poor documentation** , making it difficult to find patterns and solutions for specific deployments. - Users find the **complexity of debugging the type system** and limited search capabilities challenging to navigate. - Users find the **complex setup** for on-premise architecture challenging, especially without sufficient documentation. - Users find that the **cost issues** with Fauna's pricing model complicate their budgeting and usage decisions. #### What Are Recent G2 Reviews of Fauna? **"[The "best of every world" Database](https://www.g2.com/survey_responses/fauna-review-10729580)"** **Rating:** 5.0/5.0 stars *— Tayler K.* [Read full review](https://www.g2.com/survey_responses/fauna-review-10729580) --- **"[A truly serverless database](https://www.g2.com/survey_responses/fauna-review-10703984)"** **Rating:** 5.0/5.0 stars *— Verified User in Government Administration* [Read full review](https://www.g2.com/survey_responses/fauna-review-10703984) --- #### What Are G2 Users Discussing About Fauna? - [Is FaunaDB expensive?](https://www.g2.com/discussions/is-faunadb-expensive) - [Is FaunaDB serverless?](https://www.g2.com/discussions/is-faunadb-serverless) - 3 comments - [What type of DB is FaunaDB?](https://www.g2.com/discussions/what-type-of-db-is-faunadb) - [What is FaunaDB used for?](https://www.g2.com/discussions/what-is-faunadb-used-for) ### 23. [CouchDB](https://www.g2.com/products/couchdb/reviews) CouchDB is a database that completely embraces the web. Store your data with JSON documents. **Average Rating:** 3.9/5.0 **Total Reviews:** 59 **How Do G2 Users Rate CouchDB?** - **Has the product been a good partner in doing business?:** 7.3/10 (Category avg: 8.5/10) - **Query Optimization:** 7.2/10 (Category avg: 8.0/10) - **Data Model:** 9.3/10 (Category avg: 8.5/10) - **Operating Systems:** 8.9/10 (Category avg: 8.3/10) **Who Is the Company Behind CouchDB?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 61% Small-Business, 27% Mid-Market #### What Are Recent G2 Reviews of CouchDB? **"[Couchdb](https://www.g2.com/survey_responses/couchdb-review-8304671)"** **Rating:** 4.5/5.0 stars *— Rupali M.* [Read full review](https://www.g2.com/survey_responses/couchdb-review-8304671) --- **"[Good for our usecase](https://www.g2.com/survey_responses/couchdb-review-9420089)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/couchdb-review-9420089) --- #### What Are G2 Users Discussing About CouchDB? - [Is CouchDB a SQL database?](https://www.g2.com/discussions/is-couchdb-a-sql-database) - [What language does CouchDB use?](https://www.g2.com/discussions/what-language-does-couchdb-use) - [What is the difference between MongoDB and CouchDB?](https://www.g2.com/discussions/what-is-the-difference-between-mongodb-and-couchdb) - [What is CouchDB good for?](https://www.g2.com/discussions/what-is-couchdb-good-for) ### 24. [RethinkDB](https://www.g2.com/products/rethinkdb/reviews) RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn. **Average Rating:** 4.3/5.0 **Total Reviews:** 15 **How Do G2 Users Rate RethinkDB?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.5/10) **Who Is the Company Behind RethinkDB?** - **Seller:** [The Linux Foundation](https://www.g2.com/sellers/the-linux-foundation) - **Year Founded:** 2015 - **HQ Location:** San Francisco, CA - **Twitter:** @hyperledger (299 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10851358/ (89 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 53% Small-Business, 40% Mid-Market #### What Are Recent G2 Reviews of RethinkDB? **"[Great multi-purpose database](https://www.g2.com/survey_responses/rethinkdb-review-105990)"** **Rating:** 5.0/5.0 stars *— Taylor M.* [Read full review](https://www.g2.com/survey_responses/rethinkdb-review-105990) --- **"[Quality scalable and easy-to-use database](https://www.g2.com/survey_responses/rethinkdb-review-580480)"** **Rating:** 4.0/5.0 stars *— James R.* [Read full review](https://www.g2.com/survey_responses/rethinkdb-review-580480) --- ### 25. [Apache Drill](https://www.g2.com/products/apache-drill/reviews) Apache Drill is an open-source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets. **Average Rating:** 4.2/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Apache Drill?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.5/10) - **Query Optimization:** 10.0/10 (Category avg: 8.0/10) - **Data Model:** 8.3/10 (Category avg: 8.5/10) - **Operating Systems:** 9.2/10 (Category avg: 8.3/10) **Who Is the Company Behind Apache Drill?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 50% Enterprise, 36% Small-Business #### What Are Recent G2 Reviews of Apache Drill? **"[Apache Drill - An Open Source SQL Query Tool](https://www.g2.com/survey_responses/apache-drill-review-4855450)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/apache-drill-review-4855450) --- **"[Access multiple datasource with configuration and without burden of learning multiple DB queries](https://www.g2.com/survey_responses/apache-drill-review-4828227)"** **Rating:** 5.0/5.0 stars *— Vishal A.* [Read full review](https://www.g2.com/survey_responses/apache-drill-review-4828227) --- #### What Are G2 Users Discussing About Apache Drill? - [Is Apache drill a database?](https://www.g2.com/discussions/is-apache-drill-a-database) - [What is Apache Drill vs spark?](https://www.g2.com/discussions/what-is-apache-drill-vs-spark) - [How does an Apache drill work?](https://www.g2.com/discussions/how-does-an-apache-drill-work) - [What is Apache drill used for?](https://www.g2.com/discussions/what-is-apache-drill-used-for) ## What Is Document Databases? [NoSQL Databases](https://www.g2.com/categories/nosql-databases) ## What Software Categories Are Similar to Document Databases? - [Graph Databases](https://www.g2.com/categories/graph-databases) - [Key Value Databases](https://www.g2.com/categories/key-value-databases) - [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas) --- ## How Do You Choose the Right Document Databases? ### What You Should Know About Document Databases Software ### What are Document Databases Software? Document databases are a class of non-relational databases (NoSQL databases). Document databases store related data in a document format. They are used to design, query, and store the data in a document format (JSON document, XML, YAML, or binary formats such as BSON and PDF). The software is used for storing, retrieving, and managing document-oriented information also known as semi-structured data. Document databases software, also known as document-oriented databases software, is a subclass of key-value stores, which is a NoSQL database concept. In a key-value store or key-value database, data is managed (stored, received) by using associative arrays. This type of data structure is called a “dictionary”. Dictionaries are a collection of objects, and objects are the central data storage repository that store different fields that contain the data. Some of the key examples include MongoDB, Amazon DynamoDB, Google Cloud Firestore, Couchbase Server, Apache CouchDB, among several others. Many of these databases such as MongoDB and Couchbase server are open source in nature. To call the data when required, a key is used, which acts as the unique identifier for the record within the entire database. When talking about document databases, it’s important to identify what exactly is a “document”. A document stores or encodes all the data in a standard format. These formats include JSON, XML, YAML, and others.  Document databases differ greatly from traditional relational SQL databases. The major cause of difference between the two types of databases is that relational databases store data models as a relation—tables, rows, and an object could be a part of numerous tables. However, document databases store all the related information of an object within a single instance of the database, and each object can be stored uniquely. Document databases do not have any restrictions as relational databases do. **CRUD operation** The core operations for document databases are abbreviated as CRUD—create, retrieve, update, and delete. These are the four basic operations that all document databases support. **What is a key?** As stated earlier, a key acts as a unique identifier that is representative of the document. It is used to retrieve the data from the document database. There is usually an index of keys available, which makes it easier for the user to refer to and call back the data represented by that particular key. In case a user needs to add or delete a document within the document database, a key can be used for the same. **Data retrieval ** Although a key-to-document method is enough for data retrieval, the document database offers an API that users can use to query data based on content. The set of query language or query APIs vary significantly between different data model implementations. In this, document databases make use of the metadata of the content to classify the content and differentiate it from one another. **Data organization** There are several ways to arrange documents within document databases software. A document can exist as single or multiple collections. **Hierarchy:** Documents are grouped in a tree-like structure and have a typical path. **Collections:** Group of documents within the software.  **Data tags:** Documents or additional data located outside the content. **Why use document databases?** Since the data is stored in a format that is very close to the application development code used by developers, there is much less translation required for the data to be used by an application. These types of databases give developers the freedom and the flexibility to rework various documents in the format suited for that application. In turn, their application needs to change over time, the document database can also be modeled in the same data format as required by the application. **When can a user opt for document databases?** Document databases software is used to store large volumes of data in a key-value, making it easy for the user to access the data. Considering the significant amount of data to be processed, some of the key uses of the software include content management, user profiles for a company, catalogs, and several other documents. ### What are the Common Features of Document Databases Software? The need for document databases has become imminent with the rise of unstructured data. The following section covers the core features of document databases software that can help users in several ways: **Document databases software are NoSQL:** NoSQL database software was created to meet the needs of the internet era, with the rise of unstructured data. NoSQL document databases have been attributed with increasing the pace of app development and supporting data scaling and new application structures and paradigms. Since document databases are NoSQL in nature, several elements can be indexed and called faster by application developers. The data structure in this software is designed for unstructured data or big data, allowing it to plow through large amounts of data while being able to maintain its efficiency and flexibility.  **Schema support:** Document databases software can support several different schemas of data because there are no restrictions in the structure of the data. The schema is flexible and can be used for different types of document formats to process queries faster. **Richness of indexing:** Several document databases support ad hoc queries, indexing, full-text search, and real-time data collections to ensure that users can access, analyze, and transform data as required.  **Distributed database:** Document databases software are distributed as their central principle, unlike monolithic relational databases. Since the documents are individual and independent, they can be located or distributed on multiple servers across the globe. This is very useful for companies such as e-commerce that have locations across the globe. It also supports replication and self-healing capabilities to ensure that all applications support high availability. The software also supports data sharding (a data partitioning technique) to ensure scalability across numerous independent servers. ### What are the Benefits of Document Databases? The inclusion of document databases software within a firm can help manage thousands of documents that exist within a company. Some of the key benefits of document database software include: **Easy availability:** The data is not spread out or linked over different databases but rather is available in a single database. This is one of the main benefits of document databases. Although interlinking of documents is possible, it is not usually recommended since it would make the database relational in nature and also add to the complexity of managing the database.  **No foreign keys:** Having no foreign keys indicates that there is no relationship formed between the data. Without the existence of this dynamic, documents can be created, managed, and deleted independently making it much faster to process data for several applications querying it. **Open formats:** One of the key benefits of using document databases is that they support several open formats. The process can use XML, JSON, and several other formats for the data. **Supports scalability:** As the amount of data generated increases every minute, the database software being used by customers also needs to ensure flexibility and scalability. Document databases allow users to easily add datasets to scale up, which means more future-proof features. **New integration support:** Since document databases are much more flexible and scalable compared to traditional relational databases, integrating new data into the database software is easy. There is no need for consistency in data formats, and large amounts of unstructured data or big data can be stored. **Fast query nature:** One of the key features of document databases software is its nature to improve the speed of queries. Using document databases can enable several app developers to store and query requested data in the same document-model format that is being used in the code being developed. For example, in the healthcare field where time is of the essence, a user can immediately get access to health records instead of facing any delays or issues.  ### Who Uses Document Databases Software? Some of the main users of document databases software have been listed below: **Database administrator (DBA):** Key persona handling the software. The schema is determined by the DBA. They are also responsible for setting up different user IDs and rights for those who can access the database. This persona also monitors the database, ensures security is maintained, ensures backup and recovery plans are active, tracks errors or failures, provides database support, and several other requirements. **Software developers:** Programmers and software developers would need access to data when developing a software application or making changes to one. This persona will have access to the document database to ensure that the software application development process goes smoothly. In addition, document databases have a long list of supported programming languages which includes Perl, Java, C, C++, Python, and Javascript. **Managers:** Managers can use the database temporarily or whenever they require new information. This persona doesn't use it daily as the other personas, only when the requirement arises.  **Other users:** This includes users such as analysts and scientists who do not write a code, but use the document databases software to query some information as and when required. They have interactions with the database as per their data requirements. #### Software Related to Document Databases Software Related solutions that can be used together with document databases software include other key NoSQL document databases as follows: [XML databases software](https://www.g2.com/categories/xml-databases) **:** XML database software are a subclass of document databases, wherein the database primarily works with XML documents. [Graph databases](https://www.g2.com/categories/graph-databases) **:** Graph databases use graphs and graph structures for database queries. The graph is used to connect the data stores to nodes and edges, where edges form the relationship between nodes. [Columnar databases software](https://www.g2.com/categories/columnar-databases) **:** Under this type of database software, a column store is used to store data. Data can be read quickly when it's in a columnar format. Since the data in the column is of a uniform type, it provides for storage opportunities and storage optimizations within the database. ### Challenges with Document Databases Software Document databases solutions can come with their own set of challenges.  **Consistency issues:** A major challenge that comes with document databases is data consistency and limitations to the checking process. Since the data is not related to other data points as in relational database service there are chances of duplicated data, redundant data, unrelated data being collected together, among several other possibilities. This could hamper the performance of the database. **Security challenges:** Since document databases are primarily focused on the numerous unstructured data stores available from several sources which include web applications, it leads to several points to be exposed where data hackers can get through and breach system security. This could lead to data leaks and unintended personnel getting their hands on critical data. **Issue with atomicity:** In [database management systems (DBMS) software](https://www.g2.com/categories/database-management-systems-dbms), atomicity is one of the ACID transactions. Atomicity is the guarantee that each transaction of data is treated as a single unit that either completely succeeds or fails; there is no in-between. A single command is given to make changes to the data, and all subsequent queries will also reflect these changes. However, in document databases, a change that affects two data collections will need to be run twice which does not follow the principle of atomicity. **Data loss issues:** A key challenge with document databases is data loss. Data loss issues could arise due to wrong configurations since a single node is not being used. ### How to Buy Document Databases Software #### Requirements Gathering (RFI/RFP) for Document Databases Software When choosing a document databases software, some important criteria need to be considered. Factors such as flexibility, usability, functionality, security are key criteria that cannot be compromised. Having features such as dashboards and visualizations is a great benefit to ensure ease of analyzing the data storage and keeping track of several queries. Other important features to look out for are support and development—the hours customer support is available, if they are open to solving queries, and continuous information on updates on the latest new additions and developments in the document databases software, among several other features. As a business grows, scalability is an important criterion to keep in mind. With tons of unstructured data or big data being generated, the document databases software should be able to manage millions of columns of data. Another key feature to ensure that the document databases software has is integration support. Application developers with several different software and this software should be able to easily call data from the document database as required. How these integrations are managed and how the company ensures all these software connect with the document databases software is critical for the smooth flow of data. Checking on what programming languages are supported by the document database is a good factor to look into. #### Compare Document Databases Software Products **Create a long list** In this step, buyers should keep their options open to consider the full range of products. Buyers have the freedom to explore numerous offerings that this software market has. The long list can be made much more concise and smaller by addressing the goals. **Create a short list** Buyers can make much more granular comparisons on this step. In addition to this, buyers can use the G2 reviews to further narrow this list down. **Conduct demos** Once the list has been reduced to a couple of vendors, buyers may begin to request a demo. During the demo, buyers should seek out information that is related to their non-negotiable terms. This is a good stage where the buyer can delve more deeply into understanding how secure their document database will be, high-performance support availability, what the features are—latency in loading document databases, after-service support, staff training, and other additional features that can be provided when opting for their document databases solution.  #### Selection of Document Databases Software **Choose a selection team** Choosing the right team to work together to decide the right document databases software is a critical part of the process since several personas would need to access the database applications as per requirements. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include database admins, application developers, key management leaders, IT heads, and others. **Negotiation** A buyer can choose to negotiate to trim costs. The buyer needs to note that if in the future there is a requirement for scaling, there would be additional costs or an increase to the subscription pricing. It is a good practice to check with the document database vendor if they offer any cloud support, training, and other factors. Keeping such factors in mind will help the buyer to put forward better negotiation tactics for the specific functions that matter. **Final decision** Once all the steps are complete, the final decision is made weighing all factors and scenarios. Having a trial run of the software is a good place to start by using smaller document databases. A small group of database admins can pass on their views to the team making the final decision. --- ## What Are the Most Common Questions About Document Databases? *AI-generated · Last updated: June 3, 2026* ### Which Document Databases platforms support ACID transactions and data consistency guarantees at scale Based on G2 reviews, these products are most often mentioned for consistency, transactions, or reliable scaling needs. - [MongoDB](https://www.g2.com/products/mongodb) — flexible schema with replication and sharding. - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb) — transactional workloads with managed high availability. - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) — resilient distributed indexing and scalable search. - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas) — managed clusters with backups and autoscaling. ### Which Document Databases platforms offer the fastest query performance and automatic sharding capabilities Based on G2 reviews, these products stand out for fast retrieval, scaling behavior, and distributed data handling. - [MongoDB](https://www.g2.com/products/mongodb) — fast reads with built-in sharding. - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb) — low-latency access with automatic scaling. - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) — near real-time search across large datasets. - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas) — indexed queries and easy shard management. ### Finding Document Databases platforms that handle unstructured JSON data and eliminate the need for complex schema redesigns According to verified users, this is one of the clearest strengths of document databases. Reviewers repeatedly describe storing JSON-like or semi-structured data without rigid tables, which helps teams move faster when requirements change. Across the recent reviews, buyers highlight easier iteration, fewer schema migrations, simpler API alignment, and less time spent reshaping application data. They also mention tradeoffs: governance can become harder without strong validation, joins may feel less natural than in relational systems, and indexing still matters for performance. For teams working with evolving application data, logs, profiles, events, or mixed document structures, flexibility is the most consistent benefit described. ### What are document databases Document databases are systems built to store data as flexible documents rather than fixed tables. In the recent G2 reviews for this category, users most often describe working with JSON-like or BSON-style records that can evolve without constant schema redesign. That makes them useful when application data changes frequently, when teams want faster development cycles, or when they need to store semi-structured and unstructured information more naturally. Reviewers also connect document databases with horizontal scaling, replication, indexing, aggregation, and easier alignment between application objects and stored data. At the same time, users note they can require careful indexing, data governance, and planning for relationships or strict consistency needs. ### How do teams use Document Databases for real-time analytics G2 reviewers mention using document databases for real-time analytics by storing operational data in flexible document formats and then querying it quickly with indexes, aggregations, or search features. Recent reviews describe teams analyzing logs, event streams, dashboards, API data, customer activity, and application records without repeatedly redesigning schemas as inputs change. Buyers also highlight faster iteration because data can stay close to the structures used in code, which reduces transformation work before analysis. Across the review set, real-time analytics use cases are usually tied to quick retrieval, scalable clustering or sharding, and support for evolving datasets. The main caution reviewers raise is that sustained performance depends on thoughtful indexing and query design.