# Best Document Databases

## How Many Document Databases Products Does G2 Track?

**Total Products under this Category:** 65

### Category Stats (Aug 2026)

- **Average Rating:** 4.23/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Couchbase (+0.02%) - Among all products in this category, Couchbase recorded the largest rating increase compared to last month

_Last updated: August 06, 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
- 65+ Products
- Unbiased Rankings

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

## G2 Grid® for Document Databases
 ![G2 Grid® for Document Databases plotting products by satisfaction and market presence](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=978)

Highlighted products: MongoDB Atlas, Elasticsearch, Amazon DynamoDB, Amazon DocumentDB, Google Cloud Firestore, InterSystems IRIS, Couchbase, and Redis Software.

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=redis-software)

**Sponsored**

### Google Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps—at global scale.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=306&secure%5Bchosen_at%5D=2026-08-08T02%3A05%3A26Z&secure%5Bdisplayable_resource_id%5D=306&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=306&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=67028&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&secure%5Btoken%5D=a6b98d8eb4dc3205c09e477207dd6689beefcb301ed8651ff3925770dbe04123&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fbuild%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-build%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [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:** 9.0/10 (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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9e2adda5aefb96b900de1b30cd580b936f8a6692f341d7d367f1e1a3c95078d9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F783611%2F&secure%5Burl_type%5D=linkedin_company_website)  
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, 29% Large

#### What Do G2 Reviewers Say About MongoDB Atlas?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive UI** of MongoDB Atlas, making database management user-friendly and efficient.
- Users appreciate the **intuitive user interface** of MongoDB Atlas, simplifying database management and enhancing productivity.
- Users appreciate the **intuitive UI and ease of use** in MongoDB Atlas, enhancing their database management experience.
- Users appreciate the **scalability** of MongoDB Atlas, enabling efficient data management and rapid performance without extra infrastructure effort.
- Users appreciate the **reliability** of MongoDB Atlas, noting its consistent uptime and seamless database management experience.

##### Cons

- Users criticize the **expensive pricing** of MongoDB Atlas, feeling forced to pay for unnecessary resources and inadequate support.
- Users express frustration with MongoDB Atlas's **unclear pricing** , leading to unexpected costs and complicated billing structures.
- Users find MongoDB Atlas **expensive** , facing high costs for subpar performance and frustrating support challenges.
- Users express frustration over **high memory usage** , leading to performance issues and costly unexpected charges.
- Users experience significant **latency issues** when deleting data, negatively impacting performance and overall satisfaction with MongoDB Atlas.

#### What Are Recent G2 Reviews of MongoDB Atlas?

**["MongoDB Atlas: Fast Setup, Flexible Docs, and Great Value on the Free Tier"](https://www.g2.com/survey_responses/mongodb-atlas-review-13174617)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/mongodb-atlas-review-13174617)

**["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

### [Elasticsearch](https://www.g2.com/fr/products/elastic-elasticsearch/reviews)

Construisez des expériences de recherche de nouvelle génération pour vos clients et employés qui soutiennent les objectifs technologiques de votre organisation. Elasticsearch offre aux développeurs une boîte à outils flexible pour créer des applications de recherche alimentées par l'IA avec une plateforme extensible qui fournit également des capacités prêtes à l'emploi. Économisez des cycles de développement et mettez sur le marché une recherche améliorée plus rapidement. Elasticsearch est le moteur de recherche le plus populaire au monde, soutenu par une communauté de développeurs robuste. La plateforme d'Elastic vous permet d'ingérer n'importe quelle source de données, de créer des expériences de recherche modernes qui s'intègrent aux grands modèles de langage et à l'IA générative, et de visualiser des analyses pour une prise de décision et des insights basés sur les données. Nos investissements constants dans l'apprentissage automatique aident les développeurs à rester à la pointe avec une recherche rapide et hautement pertinente, à grande échelle. -- Plateforme et boîte à outils flexibles pour offrir une fonctionnalité de recherche puissante, quel que soit les ressources de développement et les objectifs technologiques. Notre plateforme ouverte offre une fonctionnalité cohérente pour les déploiements cloud, hybrides ou sur site avec des performances, une fiabilité et une évolutivité exceptionnelles. -- Les outils intégrés d'analyse et de visualisation de recherche donnent aux équipes accès aux données de recherche et aux tableaux de bord en temps réel pour optimiser les résultats de recherche et les opérations. Les équipes non techniques peuvent également ajuster les expériences de recherche - pas besoin d'équipe de développement. -- Pertinence de recherche de niveau supérieur utilisant la recherche textuelle, la recherche vectorielle, hybride et sémantique et la flexibilité des modèles d'apprentissage automatique. Des capacités puissantes comme une base de données vectorielle fournissent la base pour créer, stocker et rechercher des embeddings pour capturer le contexte de vos données non structurées. Utilisez l'inférence activée par l'apprentissage automatique lors de l'ingestion de données, et apportez votre propre modèle - ouvert ou propriétaire - pour offrir les meilleurs résultats spécifiques à l'industrie.

**Average Rating:** 4.5/5.0

**Total Reviews:** 288

#### How Do G2 Users Rate Elasticsearch?

- **the product a-t-il été un bon partenaire commercial?:** 8.9/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.9/10 (Category avg: 8.0/10)
- **Modèle de données:** 9.5/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 9.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Elasticsearch?

- **Vendeur:** [Elastic](https://www.g2.com/fr/sellers/elastic)
- **Site Web de l'entreprise:** www.elastic.co
- **Année de fondation:** 2012
- **Emplacement du siège social:** San Francisco, CA
- **Twitter:** @elastic  
65,200 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 employés sur LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Ingénieur logiciel, Ingénieur Logiciel Senior
- **Top Industries:** Logiciels informatiques, Technologie de l'information et services
- **Company Size:** 38% Medium, 33% Large

#### What Do G2 Reviewers Say About Elasticsearch?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs trouvent Elasticsearch extrêmement **facile à utiliser** , améliorant ainsi leurs capacités d'intégration et d'observabilité sans effort.
- Les utilisateurs louent Elasticsearch pour sa **vitesse impressionnante** , gérant efficacement de grands ensembles de données et assurant une évolutivité fluide.
- Les utilisateurs apprécient les **capacités de recherche rapide** dans Elasticsearch, permettant un accès rapide à de grands ensembles de données et des opérations rationalisées.
- Les utilisateurs trouvent la **performance ultra-rapide** et la documentation complète d'Elasticsearch immensément bénéfiques pour leurs besoins de recherche.
- Les utilisateurs admirent les **puissantes fonctionnalités de recherche et d'agrégation** d'Elasticsearch, appréciant sa performance et sa flexibilité à grande échelle.

##### Cons

- Les utilisateurs trouvent Elasticsearch **cher à mettre à l'échelle** , surtout avec une utilisation élevée des données et des licences coûteuses pour des fonctionnalités précieuses.
- Les utilisateurs constatent que **Elasticsearch nécessite une expertise significative** pour une performance optimale, ce qui complique son installation et sa gestion.
- Les utilisateurs trouvent la **difficulté d'apprentissage** d'Elasticsearch difficile, surtout avec des configurations complexes et la gestion des requêtes pour les débutants.
- Les utilisateurs estiment qu'Elasticsearch nécessite **une amélioration de la convivialité** et du réglage des performances, compliquant leur expérience avec les recherches.
- Les utilisateurs trouvent la **d'Elasticsearch difficile, nécessitant un effort considérable et du temps pour maîtriser.**

#### What Are Recent G2 Reviews of Elasticsearch?

**["Interface utilisateur simple, intégrations transparentes et performances élevées d'Elasticsearch"](https://www.g2.com/fr/survey_responses/elasticsearch-review-12835645)**

**Rating:** 4.5/5.0 stars

_— Antonia F._

[Read full review](https://www.g2.com/fr/survey_responses/elasticsearch-review-12835645)

**["Vitesse impressionnante et recherche puissante quasi en temps réel avec Elasticsearch"](https://www.g2.com/fr/survey_responses/elasticsearch-review-12579166)**

**Rating:** 5.0/5.0 stars

_— Ertuğrul D._

[Read full review](https://www.g2.com/fr/survey_responses/elasticsearch-review-12579166)

### [Amazon DynamoDB](https://www.g2.com/fr/products/amazon-web-services-aws-amazon-dynamodb/reviews)

Amazon DynamoDB est une base de données NoSQL pionnière, entièrement gérée et sans serveur, avec une évolutivité illimitée et des performances de latence en millisecondes à un chiffre permettant aux clients de développer des applications modernes basées sur des microservices via une API simple. Les clients bénéficient des avantages du service entièrement géré de DynamoDB, y compris des normes de conformité étendues, une intégration de sécurité avec AWS Identity and Access Management et de nombreux services de reprise après sinistre. Avec DynamoDB Global Tables, les clients disposent d'une base de données multi-régions, multi-active, hautement disponible à 99,999 %, prenant en charge les lectures et écritures locales pour les utilisateurs distribués mondialement. DynamoDB offre des fonctionnalités de gestion des coûts telles que l'échelle à zéro, Time to Live (TTL) pour l'élimination des données vieillissantes, et plusieurs modèles de tarification, y compris un niveau gratuit.

**Average Rating:** 4.4/5.0

**Total Reviews:** 498

#### How Do G2 Users Rate Amazon DynamoDB?

- **the product a-t-il été un bon partenaire commercial?:** 8.9/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.4/10 (Category avg: 8.0/10)
- **Modèle de données:** 8.8/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 8.4/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Amazon DynamoDB?

- **Vendeur:** [Amazon Web Services (AWS)](https://www.g2.com/fr/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Année de fondation:** 2006
- **Emplacement du siège social:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employés sur LinkedIn®
- **Propriété:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Ingénieur logiciel, Ingénieur Logiciel Senior
- **Top Industries:** Logiciels informatiques, Technologie de l'information et services
- **Company Size:** 35% Large, 34% Medium

#### What Do G2 Reviewers Say About Amazon DynamoDB?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **scalabilité exceptionnelle** d'Amazon DynamoDB, permettant une constance de performance lors de demandes d'application variées.
- Les utilisateurs apprécient la **facilité d'utilisation** d'Amazon DynamoDB, profitant de ses capacités entièrement gérées et haute performance avec un entretien minimal.
- Les utilisateurs apprécient l' **efficacité économique** d'Amazon DynamoDB, économisant du temps et réduisant considérablement les frais d'exploitation.
- Les utilisateurs apprécient la **performance à faible latence** d'Amazon DynamoDB, ce qui le rend idéal pour les applications à fort trafic.
- Les utilisateurs apprécient les **services entièrement gérés** d'Amazon DynamoDB, qui minimisent la maintenance et améliorent l'efficacité opérationnelle.

##### Cons

- Les utilisateurs trouvent Amazon DynamoDB **cher** en raison des coûts imprévisibles et de la nécessité d'une planification minutieuse de la capacité.
- Les utilisateurs ont du mal avec la **complexité des requêtes** , rencontrant des défis dans la gestion des coûts et l'optimisation des performances lors de l'utilisation de DynamoDB.
- Les utilisateurs trouvent **Amazon DynamoDB complexe** pour les débutants, nécessitant un apprentissage approfondi pour une modélisation et une gestion des données efficaces.
- Les utilisateurs trouvent la **courbe d'apprentissage abrupte** d'Amazon DynamoDB difficile, surtout en ce qui concerne la modélisation des données et les limitations de requête.
- Les utilisateurs rencontrent des **défis de gestion des coûts** avec DynamoDB, nécessitant une vigilance constante pour éviter des dépenses inattendues.

#### What Are Recent G2 Reviews of Amazon DynamoDB?

**["DynamoDB rapide et entièrement géré qui s'adapte sans effort"](https://www.g2.com/fr/survey_responses/amazon-dynamodb-review-12535704)**

**Rating:** 4.5/5.0 stars

_— Indresh G._

[Read full review](https://www.g2.com/fr/survey_responses/amazon-dynamodb-review-12535704)

**["Base de données hautement évolutive, à faible latence avec intégration transparente à AWS"](https://www.g2.com/fr/survey_responses/amazon-dynamodb-review-12782261)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/fr/survey_responses/amazon-dynamodb-review-12782261)

#### What Are G2 Users Discussing About Amazon DynamoDB?

- [What kind of database is DynamoDB?](https://www.g2.com/fr/discussions/what-kind-of-database-is-dynamodb) - 1 comment
- [Sur quoi est basé AWS DynamoDB ?](https://www.g2.com/fr/discussions/what-is-aws-dynamodb-based-on) - 1 comment
- [Laquelle des caractéristiques suivantes est une fonctionnalité de DynamoDB ?](https://www.g2.com/fr/discussions/which-of-the-following-is-a-feature-of-dynamodb) - 3 comments
- [Qu'est-ce qu'Amazon DynamoDB ? Décrivez une application qui peut bénéficier d'Amazon DynamoDB.](https://www.g2.com/fr/discussions/what-is-amazon-dynamodb-describe-an-application-that-can-benefit-from-amazon-dynamodb) - 3 comments

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 39% Small, 34% Large

#### What Do G2 Reviewers Say About Amazon DocumentDB?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **reliable cloud computing services** provided by Amazon DocumentDB, enhancing their data management experience.
- Users appreciate the **easy integration with AWS services** in Amazon DocumentDB, enhancing overall functionality and flexibility.
- Users value the **seamless integration with other AWS services** offered by Amazon DocumentDB, enhancing overall functionality.
- Users praise the **reliable cloud computing services** provided by Amazon DocumentDB, enhancing their operational efficiency.

##### Cons

- Users find it **complicated to understand** Amazon DocumentDB, which can hinder their overall experience and usability.
- Users find the **dependency issues** of Amazon DocumentDB cumbersome, especially during migration to other databases.
- Users find the **cost of Amazon DocumentDB** to be high compared to other DBaaS providers, complicating migration efforts.

#### 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)

## FAQs About Document Databases

Generated using AI

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.

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

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

#### What Do G2 Reviewers Say About Google Cloud Firestore?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **seamless API integration** of Google Cloud Firestore, allowing quick app setup and real-time updates.
- Users highlight the **scalability and wide service offerings** of Google Cloud Firestore, enhancing their development experience.
- Users value the **flexibility** of Google Cloud Firestore, allowing seamless adaptation to their unique project requirements.
- Users value the **commitment to innovation** in Google Cloud Firestore, enhancing their development and operational capabilities.
- Users praise the **seamless integrations** of Google Cloud Firestore, enhancing workflow efficiency with other Google products.

##### Cons

- Users find the **pricing to be quite expensive** when needing to scale beyond the free tier of Firestore.
- Users find the **unclear pricing** of Google Cloud Firestore confusing and consider it potentially expensive as usage increases.

#### What Are Recent G2 Reviews of Google Cloud Firestore?

**["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)

**["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)

#### 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)

### [InterSystems IRIS](https://www.g2.com/fr/products/intersystems-iris/reviews)

InterSystems IRIS est une plateforme de données complète axée sur le cloud qui comprend un moteur de gestion de données transactionnelles multi-modèles, une plateforme de développement d'applications, un moteur d'interopérabilité et une plateforme d'analytique ouverte. C'est la prochaine génération de notre logiciel de gestion de données éprouvé. Il inclut les capacités d'InterSystems Cache et Ensemble, ainsi qu'une multitude de nouvelles fonctionnalités passionnantes pour faciliter la création et le déploiement d'applications d'entreprise basées sur le cloud, intensives en analytique, avec des performances et une évolutivité encore plus grandes. InterSystems IRIS fournit un ensemble d'API pour opérer avec des données transactionnelles persistantes simultanément : clé-valeur, relationnel, objet, document, multidimensionnel. Les données peuvent être gérées par SQL, Java, node.js, .NET, C++, Python et le langage natif côté serveur ObjectScript. InterSystems IRIS inclut un moteur d'interopérabilité et des modules pour construire des solutions d'IA. InterSystems IRIS offre des fonctionnalités pour l'évolutivité horizontale (sharding, ECP) et fournit des fonctionnalités de haute disponibilité, d'intelligence d'affaires, de support de transaction et de sauvegarde.

**Average Rating:** 4.6/5.0

**Total Reviews:** 59

#### How Do G2 Users Rate InterSystems IRIS?

- **the product a-t-il été un bon partenaire commercial?:** 8.8/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 9.7/10 (Category avg: 8.0/10)
- **Modèle de données:** 9.5/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 9.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind InterSystems IRIS?

- **Vendeur:** [InterSystems](https://www.g2.com/fr/sellers/intersystems)
- **Année de fondation:** 1978
- **Emplacement du siège social:** Cambridge, MA
- **Twitter:** @InterSystems  
61,310 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aa31052217110fd5c8de7d11fdc608d347fa1a4729ea60aadf51a0fe2ec21ec8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F6959&secure%5Burl_type%5D=linkedin_company_website)  
2,115 employés sur LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Logiciels informatiques, Soins hospitaliers et de santé
- **Company Size:** 50% Small, 28% Medium

#### What Do G2 Reviewers Say About InterSystems IRIS?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs adorent les **fonctionnalités puissantes** et l'excellente performance d'InterSystems IRIS, en faisant un choix fiable pour les développeurs.
- Les utilisateurs trouvent qu'InterSystems IRIS est **facile à utiliser** , avec une interface épurée et une excellente documentation qui améliore leur expérience.
- Les utilisateurs louent la **performance excellente** d'InterSystems IRIS, soulignant sa rapidité, sa fiabilité et son efficacité en termes de ressources.
- Les utilisateurs louent le **excellent support client** d'InterSystems IRIS, recevant souvent des réponses rapides et utiles.
- Les utilisateurs apprécient les **intégrations faciles** d'InterSystems IRIS, appréciant la manière dont il se connecte sans effort à d'autres systèmes.

##### Cons

- Les utilisateurs trouvent la **d'InterSystems IRIS difficile, surtout sans expérience préalable en ObjectScript.**
- Les utilisateurs remarquent qu'IRIS n'est **pas bon marché** , les coûts de licence et de matériel étant des facteurs importants à prendre en compte.
- Les utilisateurs trouvent que la **documentation insuffisante pour les scénarios avancés** complique la compréhension et l'utilisation efficace d'InterSystems IRIS.
- Les utilisateurs trouvent la **, surtout avec des fonctionnalités complexes et une documentation qui manque d'exemples spécifiques.**
- Les utilisateurs trouvent la **documentation inadéquate** pour les fonctionnalités avancées, ce qui complique le processus d'apprentissage et la mise en œuvre pour les débutants.

#### What Are Recent G2 Reviews of InterSystems IRIS?

**["Programmation Unifiée et Documentation Complète Facilitent l'Utilisation"](https://www.g2.com/fr/survey_responses/intersystems-iris-review-12189169)**

**Rating:** 4.0/5.0 stars

_— Daniel s._

[Read full review](https://www.g2.com/fr/survey_responses/intersystems-iris-review-12189169)

**["Composants puissants prêts à l'emploi et personnalisation sans effort"](https://www.g2.com/fr/survey_responses/intersystems-iris-review-12112009)**

**Rating:** 5.0/5.0 stars

_— George G._

[Read full review](https://www.g2.com/fr/survey_responses/intersystems-iris-review-12112009)

#### What Are G2 Users Discussing About InterSystems IRIS?

- [À quoi sert InterSystems IRIS ?](https://www.g2.com/fr/discussions/what-is-intersystems-iris-used-for) - 1 comment
- [Who owns InterSystems?](https://www.g2.com/fr/discussions/who-owns-intersystems)
- [What is InterSystems Ensemble?](https://www.g2.com/fr/discussions/intersystems-iris-what-is-intersystems-ensemble)
- [What is Iris platform?](https://www.g2.com/fr/discussions/what-is-iris-platform)
- [What is InterSystems Iris?](https://www.g2.com/fr/discussions/what-is-intersystems-iris)

### [Couchbase](https://www.g2.com/fr/products/couchbase/reviews)

La plateforme de données opérationnelles de Couchbase pour l'IA est une base évolutive pour les charges de travail opérationnelles, analytiques, mobiles et d'IA des entreprises qui remplace l'infrastructure et les services de données hérités.

**Average Rating:** 4.3/5.0

**Total Reviews:** 143

#### How Do G2 Users Rate Couchbase?

- **the product a-t-il été un bon partenaire commercial?:** 8.3/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.8/10 (Category avg: 8.0/10)
- **Modèle de données:** 8.8/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 8.6/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Couchbase?

- **Vendeur:** [Couchbase](https://www.g2.com/fr/sellers/couchbase)
- **Site Web de l'entreprise:** www.couchbase.com
- **Année de fondation:** 2009
- **Emplacement du siège social:** San Jose, CA
- **Twitter:** @couchbase  
136,110 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8af8df2411a4f3c58605d6adbab9f2866919e43052c2cbb3704e25f41fa0a6be&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1866670%2F&secure%5Burl_type%5D=linkedin_company_website)  
850 employés sur LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Ingénieur Logiciel Senior, Ingénieur logiciel
- **Top Industries:** Logiciels informatiques, Technologie de l'information et services
- **Company Size:** 39% Small, 34% Large

#### What Do G2 Reviewers Say About Couchbase?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **flexibilité** de Couchbase, appréciant son modèle de données polyvalent et ses capacités d'intégration conviviales.
- Les utilisateurs apprécient la **compatibilité MongoDB** de Couchbase, appréciant sa synchronisation et sa facilité d'intégration.
- Les utilisateurs apprécient la **facilité d'utilisation** de Couchbase, le trouvant simple pour les applications quotidiennes et l'accès aux données en temps réel.
- Les utilisateurs apprécient la **scalabilité** de Couchbase, permettant une gestion efficace de l'augmentation des données et des charges de travail de manière transparente.
- Les utilisateurs apprécient les **analyses de haute performance** de Couchbase, permettant une gestion efficace des données et des requêtes complexes facilement.

##### Cons

- Les utilisateurs trouvent que **l'interface utilisateur médiocre** de Couchbase est compliquée, suggérant qu'elle nécessite des améliorations significatives pour une meilleure convivialité.
- Les utilisateurs trouvent la **configuration initiale et la gestion des clusters difficiles** , ce qui affecte leur capacité à utiliser Couchbase efficacement.
- Les utilisateurs trouvent le **processus d'apprentissage difficile** et éprouvant, car les fonctionnalités et la documentation peuvent manquer de clarté pour le dépannage.
- Les utilisateurs notent un **manque de fonctionnalités** dans l'édition communautaire, la trouvant difficile pour les nouveaux venus et complexe à configurer.
- Les utilisateurs trouvent que la **configuration initiale est complexe** , ce qui peut entraver l'utilisation et l'accès aux fonctionnalités avancées de Couchbase.

#### What Are Recent G2 Reviews of Couchbase?

**["Une solution robuste pour les entreprises qui adoptent l'IA"](https://www.g2.com/fr/survey_responses/couchbase-review-10927695)**

**Rating:** 4.0/5.0 stars

_— Bogdan Denis A._

[Read full review](https://www.g2.com/fr/survey_responses/couchbase-review-10927695)

**["Couchbase offre un accès à la base de données à faible latence"](https://www.g2.com/fr/survey_responses/couchbase-review-13093148)**

**Rating:** 4.5/5.0 stars

_— Utilisateur vérifié à Technologie de l'information et services_

[Read full review](https://www.g2.com/fr/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/fr/discussions/what-are-the-benefits-and-challenges-of-using-couchbase-for-database-management)
- [À quoi sert Couchbase ?](https://www.g2.com/fr/discussions/what-is-couchbase-used-for)
- [À quoi sert Couchbase Capella ?](https://www.g2.com/fr/discussions/what-is-couchbase-capella-used-for)
- [Comment démarrer un serveur Couchbase ?](https://www.g2.com/fr/discussions/how-do-i-start-a-couchbase-server) - 1 comment
- [Is couchbase open source?](https://www.g2.com/fr/discussions/is-couchbase-open-source)

### [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:** 132

#### How Do G2 Users Rate Redis Software?

- **Has the product been a good partner in doing business?:** 8.5/10 (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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=154a4d860a2f84808db6c48d0167799f4487352cac0b7154839c88ceb9650084&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2014725%2F&secure%5Burl_type%5D=linkedin_company_website)  
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, 26% Medium

#### What Do G2 Reviewers Say About Redis Software?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Redis Software to be a **very useful main cache provider** , especially for various programming projects.
- Users appreciate the **cost efficiency** of Redis Software, benefiting from reduced RAM usage and streamlined setup processes.
- Users appreciate the **customization options** in Redis Software, allowing for tailored setups and enhanced performance efficiency.
- Users appreciate the **efficient data storage** in Redis Software, benefiting from seamless geo-distribution and reduced RAM usage.
- Users find Redis Software **easy to set up** , especially for Python, data projects, and large language model implementations.

##### Cons

- Users find the **data size limitations** of Redis challenging, especially for large-scale applications requiring reliable backup solutions.
- Users find the **expensive licensing** challenging for SMBs, especially compared to open-source alternatives and inefficient UI performance.
- Users find the **limited chart features** of Redis Software lacking, impacting their ability to visualize data effectively.
- Users experience a **poor UI** with Redis Software, especially on larger clusters, impacting deployment efficiency and monitoring.
- Users experience **slow performance** when processing large data volumes, impacting semantic search and overall efficiency.

#### What Are Recent G2 Reviews of Redis Software?

**["Fast, Low-Overhead Caching with Redis for Our Node.js Stack"](https://www.g2.com/survey_responses/redis-software-review-13175657)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/redis-software-review-13175657)

**["Redis: Exceptional Performance and Simplicity for Fast Caching"](https://www.g2.com/survey_responses/redis-software-review-13148491)**

**Rating:** 4.0/5.0 stars

_— frederic D._

[Read full review](https://www.g2.com/survey_responses/redis-software-review-13148491)

#### 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)

### [AceBase realtime database](https://www.g2.com/fr/products/acebase-realtime-database/reviews)

Un moteur de base de données NoSQL rapide, à faible mémoire, transactionnel, avec indexation et requêtes activées pour node.js et navigateur, avec notifications de changement de données en temps réel.

**Average Rating:** 4.6/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate AceBase realtime database?

- **the product a-t-il été un bon partenaire commercial?:** 8.3/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.8/10 (Category avg: 8.0/10)
- **Modèle de données:** 9.2/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 9.4/10 (Category avg: 8.3/10)

#### Who Is the Company Behind AceBase realtime database?

- **Vendeur:** [Appy One / 8:45 Tools](https://www.g2.com/fr/sellers/appy-one-8-45-tools)
- **Emplacement du siège social:** N/A
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employés sur LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Logiciels informatiques
- **Company Size:** 44% Medium, 39% Small

#### What Are Recent G2 Reviews of AceBase realtime database?

**["Base de données NoSQL en temps réel, flexible et légère pour les applications modernes"](https://www.g2.com/fr/survey_responses/acebase-realtime-database-review-7546110)**

**Rating:** 4.5/5.0 stars

_— MOHAMMAD S._

[Read full review](https://www.g2.com/fr/survey_responses/acebase-realtime-database-review-7546110)

**["Utile et innovant"](https://www.g2.com/fr/survey_responses/acebase-realtime-database-review-8586190)**

**Rating:** 4.0/5.0 stars

_— Yash V V._

[Read full review](https://www.g2.com/fr/survey_responses/acebase-realtime-database-review-8586190)

#### What Are G2 Users Discussing About AceBase realtime database?

- [À quoi sert la base de données en temps réel GitHub AceBase ?](https://www.g2.com/fr/discussions/what-is-github-acebase-realtime-database-used-for)

### [RavenDB](https://www.g2.com/fr/products/ravendb/reviews)

RavenDB est une base de données documentaire NoSQL multi-modèle entièrement conforme à l'ACID, conçue pour les développeurs créant des applications distribuées à haute performance. Elle offre des lectures et écritures rapides, une recherche en texte intégral et vectorielle native pour les charges de travail d'IA, et un indexage automatique pour des requêtes à faible latence. Avec la réplication de données en temps réel, la mise à l'échelle horizontale, le chiffrement de données intégré, et des options de déploiement transparentes sur le cloud ou sur site, RavenDB prend en charge les systèmes critiques avec un minimum de surcharge opérationnelle. Fiable pour plus de 12 000 organisations, y compris Toyota, Verizon et Rakuten Kobo, RavenDB est idéal pour les équipes qui ont besoin d'une base de données fiable et conviviale pour les développeurs, adaptée aux microservices, aux architectures cloud-native et à la recherche alimentée par l'IA.

**Average Rating:** 4.4/5.0

**Total Reviews:** 13

#### How Do G2 Users Rate RavenDB?

- **the product a-t-il été un bon partenaire commercial?:** 8.6/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.0/10 (Category avg: 8.0/10)
- **Modèle de données:** 8.7/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind RavenDB?

- **Vendeur:** [RavenDB](https://www.g2.com/fr/sellers/ravendb)
- **Année de fondation:** 2008
- **Emplacement du siège social:** Caesarea, Israel
- **Twitter:** @RavenDB  
2,159 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7cefd2d99170b616977c9fe8a425aef14c42ed8c6d67cf84820451ee0bbab10b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhibernating-rhinos-ltd-%2F&secure%5Burl_type%5D=linkedin_company_website)  
58 employés sur LinkedIn®

#### Who Uses This Product?

- **Company Size:** 57% Small, 21% Medium

#### What Do G2 Reviewers Say About RavenDB?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **rapidité et l'efficacité** de RavenDB, simplifiant le développement avec des fonctionnalités utiles et réduisant la complexité.
- Les utilisateurs trouvent que les **fonctionnalités bien conçues** de RavenDB améliorent l'efficacité des développeurs, simplifiant les tâches complexes et réduisant la pile de produits.

#### What Are Recent G2 Reviews of RavenDB?

**["Base de données riche en fonctionnalités qui simplifie notre pile technologique"](https://www.g2.com/fr/survey_responses/ravendb-review-12049406)**

**Rating:** 5.0/5.0 stars

_— Georgios D._

[Read full review](https://www.g2.com/fr/survey_responses/ravendb-review-12049406)

**["Super rapide et facile base de données NOSQL avec support pour SQL (RQL)"](https://www.g2.com/fr/survey_responses/ravendb-review-8881853)**

**Rating:** 5.0/5.0 stars

_— Arild H._

[Read full review](https://www.g2.com/fr/survey_responses/ravendb-review-8881853)

#### What Are G2 Users Discussing About RavenDB?

- [Is RavenDB free?](https://www.g2.com/fr/discussions/is-ravendb-free)
- [Is RavenDB open source?](https://www.g2.com/fr/discussions/is-ravendb-open-source)
- [Who uses RavenDB?](https://www.g2.com/fr/discussions/who-uses-ravendb)
- [Why use RavenDB?](https://www.g2.com/fr/discussions/why-use-ravendb)

### [Amazon WorkDocs](https://www.g2.com/fr/products/amazon-workdocs/reviews)

Amazon WorkDocs est un service de stockage et de partage d'entreprise sécurisé avec de solides contrôles administratifs et des capacités de retour d'information qui améliorent la productivité des utilisateurs, les utilisateurs peuvent commenter des fichiers, les envoyer à d'autres pour obtenir des commentaires, et télécharger de nouvelles versions sans avoir à envoyer plusieurs versions de fichiers en pièce jointe par e-mail.

**Average Rating:** 4.1/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate Amazon WorkDocs?

- **the product a-t-il été un bon partenaire commercial?:** 6.7/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 10.0/10 (Category avg: 8.0/10)
- **Modèle de données:** 10.0/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 10.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Amazon WorkDocs?

- **Vendeur:** [Amazon Web Services (AWS)](https://www.g2.com/fr/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Année de fondation:** 2006
- **Emplacement du siège social:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employés sur LinkedIn®
- **Propriété:** NASDAQ: AMZN

#### Who Uses This Product?

- **Company Size:** 45% Small, 29% Medium

#### What Are Recent G2 Reviews of Amazon WorkDocs?

**["Simple, facile à utiliser, et idéal pour tous les niveaux de compétence"](https://www.g2.com/fr/survey_responses/amazon-workdocs-review-12701654)**

**Rating:** 4.5/5.0 stars

_— Anthony K._

[Read full review](https://www.g2.com/fr/survey_responses/amazon-workdocs-review-12701654)

**["J'utilise ce portail depuis plus d'un an et demi et c'est assez impressionnant.....!!!!!"](https://www.g2.com/fr/survey_responses/amazon-workdocs-review-5430290)**

**Rating:** 5.0/5.0 stars

_— Sanne B._

[Read full review](https://www.g2.com/fr/survey_responses/amazon-workdocs-review-5430290)

#### What Are G2 Users Discussing About Amazon WorkDocs?

- [À quoi sert Amazon WorkDocs ?](https://www.g2.com/fr/discussions/what-is-amazon-workdocs-used-for)

### [Progress MarkLogic](https://www.g2.com/es/products/progress-marklogic/reviews)

Progress MarkLogic es una plataforma de gestión de datos multimodelo de nivel empresarial que desbloquea el valor de datos complejos. Funciona con toda la amplitud de la información de una empresa y la hace fácilmente descubrible y lista para impulsar aplicaciones de alto valor, inteligencia de decisiones e IA confiable. Las organizaciones aprovechan las capacidades integradas para integrar, armonizar, buscar y visualizar datos multimodelo para construir un ecosistema de datos conectado como la base segura y escalable para la era de la IA.

**Average Rating:** 4.3/5.0

**Total Reviews:** 65

#### How Do G2 Users Rate Progress MarkLogic?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.7/10 (Category avg: 8.5/10)
- **Optimización de consultas:** 8.1/10 (Category avg: 8.0/10)
- **Modelo de datos:** 8.3/10 (Category avg: 8.5/10)
- **Sistemas operativos:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Progress MarkLogic?

- **Vendedor:** [Progress Software](https://www.g2.com/es/sellers/progress-software)
- **Sitio web de la empresa:** www.progress.com
- **Año de fundación:** 1981
- **Ubicación de la sede:** Burlington, MA.
- **Twitter:** @ProgressSW  
48,773 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab257d11ab0255eaaae8c28635f37e0e64277d81eae954d5985edfd545cd2d69&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprogress-software%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,205 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnología de la información y servicios, Software de Computadora
- **Company Size:** 53% Large, 24% Small

#### What Are Recent G2 Reviews of Progress MarkLogic?

**["Soy ingeniero de soporte técnico trabajando con Microsoft en identidad de Azure."](https://www.g2.com/es/survey_responses/progress-marklogic-review-9456409)**

**Rating:** 4.5/5.0 stars

_— Dar A._

[Read full review](https://www.g2.com/es/survey_responses/progress-marklogic-review-9456409)

**["Gestión de Datos Robusta con las Funciones Avanzadas de MarkLogic"](https://www.g2.com/es/survey_responses/progress-marklogic-review-12862116)**

**Rating:** 4.5/5.0 stars

_— Usuario verificado_

[Read full review](https://www.g2.com/es/survey_responses/progress-marklogic-review-12862116)

#### What Are G2 Users Discussing About Progress MarkLogic?

- [¿Para qué se utiliza MarkLogic?](https://www.g2.com/es/discussions/marklogic-what-is-marklogic-used-for) - 1 comment, 1 upvote
- [Is MarkLogic a graph database?](https://www.g2.com/es/discussions/is-marklogic-a-graph-database) - 1 upvote
- [¿Es MarkLogic de código abierto?](https://www.g2.com/es/discussions/is-marklogic-open-source) - 1 comment, 1 upvote
- [Which of the following features are available with MarkLogic search?](https://www.g2.com/es/discussions/which-of-the-following-features-are-available-with-marklogic-search)
- [What is MarkLogic used for?](https://www.g2.com/es/discussions/what-is-marklogic-used-for)

### [IBM Cloudant](https://www.g2.com/fr/products/ibm-cloudant/reviews)

Entièrement géré — Le service IBM Cloud fournit une base de données de documents JSON distribuée et entièrement gérée. Déployez instantanément une instance, créez des bases de données et évoluez indépendamment la capacité de débit et le stockage de données pour répondre aux exigences de votre application. L'expertise d'IBM élimine les tracas de la fourniture de matériel et de logiciels, des correctifs et des mises à niveau, tout en offrant un SLA de 99,95 %. Sécurisé — Cloudant est conforme aux normes ISO27001, SOC 2 Type 2 et prêt pour HIPAA. Toutes les données sont chiffrées en transit et au repos avec une gestion des clés définie par l'utilisateur en option via IBM Key Protect. Cloudant propose également un service géré par l'UE, qui garantit que toutes les données et opérations sont traitées uniquement par des citoyens de l'UE. Disponibilité mondiale — Disponible dans toutes les régions IBM Cloud et plus de 55 centres de données à travers le monde, Cloudant peut être facilement configuré pour la reprise après sinistre entre continents ou pour faire évoluer une application pour un lancement mondial grâce à une architecture de mise à l'échelle horizontale capable de gérer des millions d'utilisateurs et des téraoctets de données pour croître sans heurts avec votre entreprise. Toutes les instances Cloudant sont déployées sur des clusters qui s'étendent sur des zones de disponibilité dans les régions qui les prennent en charge, pour une durabilité accrue sans coût supplémentaire. Flexibilité des données — Exploitez un schéma JSON flexible et une API puissante compatible avec Apache CouchDB™, vous permettant d'accéder à une abondance de bibliothèques de langages et d'outils pour construire rapidement de nouvelles applications et fonctionnalités. Réplication durable — Déplacez les données d'application plus près de tous les endroits où elles doivent être — pour un accès ininterrompu aux données, hors ligne ou en ligne. Cloudant aide les équipes à construire des applications Web progressives, à développer avec une architecture axée sur le hors-ligne ou à manipuler des données sur des appareils périphériques. API serverless puissante — Améliorez vos applications avec des fonctionnalités intégrées de clé-valeur, MapReduce, recherche en texte intégral et requêtes géospatiales qui vont au-delà des simples boîtes de délimitation. Diffusez le flux de modifications pour une intégration transparente avec des applications pilotées par événements et des fonctions IBM Cloud.

**Average Rating:** 3.8/5.0

**Total Reviews:** 39

#### How Do G2 Users Rate IBM Cloudant?

- **the product a-t-il été un bon partenaire commercial?:** 8.2/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.8/10 (Category avg: 8.0/10)
- **Modèle de données:** 9.0/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 9.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind IBM Cloudant?

- **Vendeur:** [IBM](https://www.g2.com/fr/sellers/ibm)
- **Année de fondation:** 1911
- **Emplacement du siège social:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employés sur LinkedIn®
- **Propriété:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Logiciels informatiques, Technologie de l'information et services
- **Company Size:** 48% Small, 31% Large

#### What Are Recent G2 Reviews of IBM Cloudant?

**["Une base de données flexible et facile à utiliser"](https://www.g2.com/fr/survey_responses/ibm-cloudant-review-7662000)**

**Rating:** 4.0/5.0 stars

_— SHREEKARKOLANU R._

[Read full review](https://www.g2.com/fr/survey_responses/ibm-cloudant-review-7662000)

**["IBM Cloudant Base de Données"](https://www.g2.com/fr/survey_responses/ibm-cloudant-review-5474880)**

**Rating:** 5.0/5.0 stars

_— shivam k._

[Read full review](https://www.g2.com/fr/survey_responses/ibm-cloudant-review-5474880)

#### What Are G2 Users Discussing About IBM Cloudant?

- [À quoi sert IBM Cloudant ?](https://www.g2.com/fr/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/fr/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/fr/discussions/which-type-of-nosql-database-is-cloudant)
- [Which type of deployments does cloudant offer?](https://www.g2.com/fr/discussions/which-type-of-deployments-does-cloudant-offer)
- [Qu'est-ce que la base de données Cloudant ?](https://www.g2.com/fr/discussions/what-is-cloudant-database) - 1 comment

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=214d087cf6d1a509c70967d464e99b4a1d15bb7bcde037644055893318c586ad&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5289249%2F&secure%5Burl_type%5D=linkedin_company_website)  
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, 23% Medium

#### What Do G2 Reviewers Say About Arango?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **flexible data handling** of Arango, combining documents, graphs, and key-value pairs effortlessly.
- Users find Arango's **ease of use** remarkable, simplifying data management with its intuitive interface and powerful query language.
- Users appreciate the **flexibility** of Arango, enabling seamless integration of various data models in one engine.
- Users value the **extensive customization options** in Arango, enhancing flexibility and simplifying data management.
- Users value the **comprehensive and well-organized documentation** that simplifies learning and managing Arango's features.

##### Cons

- Users find the **setup process complicated** for ArangoDB, especially for semantic search and views, needing improvement.
- Users find the **difficult learning** curve challenging, particularly when starting to build new databases.
- Users find the **lack of detailed documentation** frustrating, often struggling to locate necessary information for complex use cases.
- Users find the **learning curve steep** , particularly for newcomers navigating database creation and complex queries.
- Users find the **learning difficulty** quite challenging, particularly for newcomers building databases and handling 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)

### [Percona Server for MongoDB](https://www.g2.com/fr/products/percona-server-for-mongodb/reviews)

Percona Server pour MongoDB est un remplacement gratuit et open-source pour MongoDB Community Edition. Il combine toutes les fonctionnalités et avantages de MongoDB Community Edition avec des fonctionnalités de classe entreprise de Percona. Construit sur MongoDB Community Edition, Percona Server pour MongoDB offre une structure de données flexible, une haute disponibilité native, une évolutivité facile et une syntaxe conviviale pour les développeurs. Il inclut également un moteur en mémoire, des sauvegardes à chaud, une authentification LDAP, un audit de base de données et une réduction des journaux.

**Average Rating:** 4.6/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate Percona Server for MongoDB?

- **the product a-t-il été un bon partenaire commercial?:** 9.0/10 (Category avg: 8.5/10)
- **Optimisation des requêtes:** 8.6/10 (Category avg: 8.0/10)
- **Modèle de données:** 8.2/10 (Category avg: 8.5/10)
- **Systèmes d’exploitation:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Percona Server for MongoDB?

- **Vendeur:** [Percona](https://www.g2.com/fr/sellers/percona)
- **Année de fondation:** 2006
- **Emplacement du siège social:** Durham, North Carolina
- **Twitter:** @Percona  
16,424 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cb376710351f454058112940bd1189151d5b0147ce9105d6b4d3189e4438ed2b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F421929%2F&secure%5Burl_type%5D=linkedin_company_website)  
354 employés sur LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Technologie de l'information et services, Gestion de l'éducation
- **Company Size:** 54% Small, 29% Medium

#### What Are Recent G2 Reviews of Percona Server for MongoDB?

**["Excellent produit"](https://www.g2.com/fr/survey_responses/percona-server-for-mongodb-review-4508057)**

**Rating:** 5.0/5.0 stars

_— Aswin G._

[Read full review](https://www.g2.com/fr/survey_responses/percona-server-for-mongodb-review-4508057)

**["Examen du serveur Percona"](https://www.g2.com/fr/survey_responses/percona-server-for-mongodb-review-5304365)**

**Rating:** 5.0/5.0 stars

_— Utilisateur vérifié à Logiciels informatiques_

[Read full review](https://www.g2.com/fr/survey_responses/percona-server-for-mongodb-review-5304365)

#### What Are G2 Users Discussing About Percona Server for MongoDB?

- [À quoi sert Percona Server pour MongoDB ?](https://www.g2.com/fr/discussions/what-is-percona-server-for-mongodb-used-for)
- [Is MongoDB Enterprise Edition free?](https://www.g2.com/fr/discussions/is-mongodb-enterprise-edition-free)
- [Is percona free?](https://www.g2.com/fr/discussions/is-percona-free)
- [What is percona database?](https://www.g2.com/fr/discussions/what-is-percona-database)
- [What is percona server for MongoDB?](https://www.g2.com/fr/discussions/what-is-percona-server-for-mongodb)

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Similar Categories

- [Key Value Databases](/categories/key-value-databases)
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- [Other Non-Relational Databases](/categories/other-non-relational-databases)
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- [Wide Column Database](/categories/wide-column-database)
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[Browse Document Databases Themes](/categories/document-databases/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated October 3, 2024

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 Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_9e62778036006f5aa69eb9687d9396c7/mongodb-atlas.png "Product Avatar Image")](https://www.g2.com/products/mongodb-atlas/reviews)[MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)[4.5/5(900)](https://www.g2.com/products/mongodb-atlas/reviews) | Schema-flexible document storage with managed clustering | "Flexible, High-Performance Database with Easy Scaling" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_da633d2d1c1fd43e5e3cc46236965f55/elastic-elasticsearch.png "Product Avatar Image")](https://www.g2.com/products/elastic-elasticsearch/reviews)[Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews)[4.5/5(292)](https://www.g2.com/products/elastic-elasticsearch/reviews) | Full-text search across centralized log documents | "Simple UI, Seamless Integrations, and Strong Elasticsearch Performance" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_764bdd3b0bc81b470d93f18d12c826d2/amazon-web-services-aws-amazon-dynamodb.png "Product Avatar Image")](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)[Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)[4.4/5(529)](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) | Serverless document storage with AWS-native event-driven scaling | "Fast, Fully Managed DynamoDB That Scales Effortlessly" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_60aac666d195c0d09550cae54c454856/amazon-documentdb.jpg "Product Avatar Image")](https://www.g2.com/products/amazon-documentdb/reviews)[Amazon DocumentDB](https://www.g2.com/products/amazon-documentdb/reviews)[4.3/5(44)](https://www.g2.com/products/amazon-documentdb/reviews) | MongoDB-compatible document storage on AWS | "A highly scalable fully managed JSON document database that allows you to encrypt data" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_aeae116c52945fdecd7ed16d621cb315/google-cloud-firestore.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-firestore/reviews)[Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore/reviews)[4.2/5(97)](https://www.g2.com/products/google-cloud-firestore/reviews) | Real-time document sync with Firebase integration | "Google Cloud Firestore is best service to store data." |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_71fa6a11b9506a110591b0c255edaec6/intersystems-iris.png "Product Avatar Image")](https://www.g2.com/products/intersystems-iris/reviews)[InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews)[4.6/5(68)](https://www.g2.com/products/intersystems-iris/reviews) | Multi-model document storage with translytical performance | "Powerful Out-of-the-Box Components and Effortless Customization" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_e4926e193556016dcba45bf50c6ad612/couchbase.png "Product Avatar Image")](https://www.g2.com/products/couchbase/reviews)[Couchbase](https://www.g2.com/products/couchbase/reviews)[4.3/5(151)](https://www.g2.com/products/couchbase/reviews) | High-throughput JSON document storage with N1QL querying | "A robust solution for enterprises that are are AI adopters" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_6c0bceb4bba558e94f5d215881182f3a/redis-software.png "Product Avatar Image")](https://www.g2.com/products/redis-software/reviews)[Redis Software](https://www.g2.com/products/redis-software/reviews)[4.5/5(136)](https://www.g2.com/products/redis-software/reviews) | In-memory key-value caching with sub-millisecond latency | "Fast, Low-Overhead Caching with Redis for Our Node.js Stack" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_33666868e869c478cece748023cace7f/acebase-realtime-database.png "Product Avatar Image")](https://www.g2.com/products/acebase-realtime-database/reviews)[AceBase realtime database](https://www.g2.com/products/acebase-realtime-database/reviews)[4.6/5(18)](https://www.g2.com/products/acebase-realtime-database/reviews) | Self-hosted JSON sync with real-time querying | "Flexible and Lightweight Realtime NoSQL DB for Modern Apps" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_47a4dd217c338caae023ac239d3a327d/ravendb.png "Product Avatar Image")](https://www.g2.com/products/ravendb/reviews)[RavenDB](https://www.g2.com/products/ravendb/reviews)[4.4/5(14)](https://www.g2.com/products/ravendb/reviews) | .NET-native document storage with built-in subscriptions | "Feature-Rich Database That Simplifies Our Tech Stack" |

* * *

Show More

### Document Databases Topics

- [What are Document Databases Software?](#what-are-document-databases-software)
- [What are the Common Features of Document Databases Software?](#what-are-the-common-features-of-document-databases-software)
- [What are the Benefits of Document Databases?](#what-are-the-benefits-of-document-databases)
- [Who Uses Document Databases Software?](#who-uses-document-databases-software)
- [Software Related to Document Databases Software](#software-related-to-document-databases-software)
- [Challenges with Document Databases Software](#challenges-with-document-databases-software)
- [How to Buy Document Databases Software](#how-to-buy-document-databases-software)
- [Document Databases Software FAQs](#document-databases-software-faqs)

[
### Document Databases Topics
Expand/Collapse ](#)
- [What are Document Databases Software?](#what-are-document-databases-software)
- [What are the Common Features of Document Databases Software?](#what-are-the-common-features-of-document-databases-software)
- [What are the Benefits of Document Databases?](#what-are-the-benefits-of-document-databases)
- [Who Uses Document Databases Software?](#who-uses-document-databases-software)
- [Software Related to Document Databases Software](#software-related-to-document-databases-software)
- [Challenges with Document Databases Software](#challenges-with-document-databases-software)
- [How to Buy Document Databases Software](#how-to-buy-document-databases-software)
- [Document Databases Software FAQs](#document-databases-software-faqs)

## Learn More About Document Databases

### 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. Document databases performance at thousands of concurrent connections in production is the benchmark serious buyers test against, since schema flexibility means little if the platform degrades under real traffic. Based on G2 reviews, backend engineers and database administrators evaluate document databases by comparing query latency at scale, how much operational overhead the managed service removes, and whether schema changes ship without migration work.

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.

### Document Databases Software FAQs

#### Most Popular FAQs

**Which Document Databases software has the best reviews?**

Based on verified user ratings, these platforms consistently earn top marks:

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): The flagship document database, rated for schema flexibility, managed operations, and developer productivity.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Search-optimized document storage reviewers rely on at billion-document scale.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Serverless NoSQL with consistent low latency and automatic scaling.
- [Couchbase](https://www.g2.com/products/couchbase): Low-latency document access for real-time application data.

**Is Redis a NoSQL database?**

Yes. Redis is a NoSQL database, originally built as an in-memory key-value store and now supporting JSON document workloads, which is why [Redis Software](https://www.g2.com/products/redis-software) appears in G2's Document Databases category alongside document-native platforms. Teams typically reach for Redis when speed matters most, using it for caching, session storage, and real-time data alongside a primary document database.

**Which document databases support ACID transactions and data consistency at scale?**

Document databases historically traded strict consistency for flexibility, and reviewers still treat this as the category's honest limitation. MongoDB Atlas supports multi-document transactions, though reviewers note relational databases remain stronger for systems where consistency is non-negotiable, with one user putting it plainly: for something like a bank, the flexible schema's consistency risk becomes a real concern. The practical guidance from reviews: match the platform's consistency guarantees to the workload, and enforce schema validation where document shape matters.

**What are the most reliable document databases for fast-growing SaaS companies?**

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Replica sets with automatic failover that reviewers credit for zero-downtime operation.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Automatic scaling through traffic spikes with high availability and minimal operational overhead.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Nodes added without meaningful downtime while the cluster redistributes shards itself.

**What is the difference between a document database and a key-value database?**

A key-value database stores and retrieves records only by their unique key, treating the value as opaque. A document database extends that concept: it understands the internal structure of each document, so developers can query, index, and update individual fields inside the document rather than fetching whole records by key alone. That field-level awareness is what makes document databases suitable as primary application databases, while pure key-value stores excel at caching and lookup workloads.

**Which document databases offer the fastest query performance with automatic sharding?**

The fastest document databases pair consistently low query latency with automatic sharding that distributes data across nodes without manual partition management. Based on G2 reviews:

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Users describe sub-100ms real-time retrieval on large datasets, with horizontal scaling through sharding absorbing growing data volumes without performance drops.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): [Comparing Atlas against Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas), reviewers point to DynamoDB's consistent low latency even during traffic spikes, with one team describing an e-commerce catalog holding up through festive-sale load with no downtime and no manual intervention.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Administrators mention query speed holding across billions of documents, with the cluster managing shard distribution by itself as nodes are added.

**Which document databases enable rapid iteration with flexible schemas?**

The highest rated document databases for engineering teams pair schema-less design and flexible schemas with rapid iteration, letting teams ship product changes without the migration work that slows relational stacks. Based on G2 reviews:

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Reviewers describe shipping features without locking into a strict schema early, adding new fields and reorganizing stored data without repeatedly restructuring the database, which one user credits with faster iteration and reduced rework.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Reviewers call the schema flexible and beneficial during development when data structures are still evolving, though they advise planning partition keys up front because access patterns are hard to change later.
- [Arango](https://www.g2.com/products/arango): Reviewers describe handling documents, graphs, and key-value pairs in one engine, with flexibility that simplifies architecture for mixed data models, though newcomers report a steep learning curve when building a new database

The flexibility cuts both ways: MongoDB Atlas reviewers report mixed document structures causing production bugs until they added validation, so enforce document shape rules from the first sprint.

**What are the best document databases for SaaS teams that need developer-friendly APIs and horizontal scaling?**

The best document databases for SaaS teams combine developer friendly APIs, strong community support, and horizontal scaling that grows without schema migration projects, which is the evaluation stack for multi-tenant SaaS applications where one database serves every customer. Based on G2 reviews:

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Developers describe the JSON document model as eliminating conversion work because data lives in the same shape their APIs return, with cluster setup and application connection taking minutes through standard libraries.
- [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore): Reviewers say they can plug an app in and start building without touching server or database setup, with real-time sync mirroring changes across connected devices for collaborative features.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Strong community support shows up as a deciding factor in reviews, with users pointing to documentation quality, accessible technical support, and free community events as what shortens the path from problem to fix.

Watch the cost curve as tenants grow: MongoDB Atlas reviewers flag the steep pricing jump from the free tier to dedicated clusters, and Firestore reviewers note the free entry gets expensive once usage climbs.

#### Small Business FAQs

For smaller teams, you can compare options on the [small business Document Databases software](https://www.g2.com/categories/document-databases/small-business) page.

**What is the most affordable Document Databases software for SMBs?**

- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Reviewers call the cost phenomenal, scaling cheaply to large databases while holding performance.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): A free entry tier for small projects, though reviewers flag the price jump when moving to dedicated clusters.
- [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore): Free to start, with costs arriving only as usage grows.

**What is the best document database for startups?**

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Reviewers who started as novices describe moving from local development to production without configuration hurdles.
- [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore): One reviewer describes it letting them operate as a one-person developer team, with authentication and security rules handled in one place.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Serverless from day one, with a free tier and no infrastructure to manage.

**Which document database is the most user-friendly?**

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Cluster creation and application connection in minutes, with a web GUI covering maintenance from any device.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): An interface reviewers say new team members can operate, backed by documentation that makes setup easy.

**Which document databases run without managing servers?**

- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Fully managed clusters with backups and security updates handled by the platform.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Serverless architecture reviewers credit for removing patching and maintenance entirely.
- [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore): No server setup, with apps connecting directly to the managed store.

**Which document databases offer free tiers for small projects?**

- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): A free tier plus scale-to-zero cost controls for aging data out.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): The M0 free cluster tier reviewers use for personal and early-stage projects.
- [Google Cloud Firestore](https://www.g2.com/products/google-cloud-firestore): Free entry point reviewers use to launch before committing to paid usage.

#### Enterprise FAQs

For larger deployments, you can compare options on the [enterprise Document Databases software](https://www.g2.com/categories/document-databases/enterprise) page.

**What is the best-rated Document Databases software for tech enterprises?**

- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): The strongest enterprise reviewer representation in the category's recent window, spanning telecom, banking, and energy.
- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Multi-region availability through global tables with event-driven pipeline integration.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Managed security, scaling, and CDC streaming reviewers run production web applications on.

**What is the most reliable document database for enterprises?**

- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): High availability with minimal operational overhead across distributed, event-driven applications.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Automatic failover to secondary nodes that reviewers credit for zero downtime.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Reviewers in telecom run inventory, monitoring, and alerting for large IoT device fleets on it.

**Which document databases reduce operational overhead for enterprise teams?**

- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Multiple reviewers independently cite minimal operational overhead as the deciding factor, with no servers or patching to manage.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Database maintenance managed through a web GUI accessible from any device.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Lifecycle management policies that handle data growth across hot, warm, and cold tiers without constant re-indexing.

**Which document databases handle enterprise-scale log and event data?**

- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Centralized logs with fast queries across billions of documents and anomaly detection through dashboards.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Reviewers manage large volumes of meter and event data with sharding absorbing growth.

**What is the best-reviewed document database for enterprise app integration?**

- [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb): Reviewers connect Lambda and EC2 within the same infrastructure with minimal setup.
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch): Built-in integrations reviewers describe as compatible across their stack, paired with Kibana for visualization.
- [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas): Standard library integrations reviewers wire into authentication and backend services in minutes.