Document Databases
Document databases, also known as document-oriented databases, are tools used to store data in document formats. +Show More
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
Amazon DynamoDB |
Leader
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Satisfactory
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Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice-based applications through a simple API. Customers enjoy the benefits of DynamoDB’s fully-managed service including broad compliance standards, security integration with AWS Identity and Access Management and numerous disaster recovery services. With DynamoDB Global Tables, customers have a 99.999% highly available, multi-Region, multi-active database supporting local reads and writes for globally distributed users. DynamoDB provides cost management features such as scale-to-zero, Time to Live (TTL) for aging data out, and multiple pricing models including a free tier.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
Company
Type of company
private
Founding year
1996
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MongoDB Atlas |
Leader
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Satisfactory
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MongoDB Atlas is the fully-managed, global cloud database service for modern applications. Best-in-class automation and proven practices guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. You can run Atlas on AWS, Google Cloud, and Azure or you could choose to run on all three at once. With multi-cloud clusters in Atlas, you can take advantage of unique tools and services native to all three major cloud providers without any added complexity to the data management experience.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
5k-10k employees
Company's social media followers
1m-2m followers
Total funding
$250-500m
# of funding rounds
12
Latest funding date
March 6, 2018
Company
Type of company
public
Founding year
2007
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ScyllaDB |
Leader
|
Satisfactory
|
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ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures--eliminating barriers to scale as data grows. Unlike any other database, ScyllaDB is built with deep architectural advancements that enable exceptional end-user experiences at radically lower costs. Over 400 game-changing companies like Disney+ Hotstar, Crypto.com, OpenSea, Instacart, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung use ScyllaDB for their toughest database challenges.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
30-40 case studies
Company's number of employees
200-300 employees
Company's social media followers
30k-40k followers
Total funding
$100-250m
# of funding rounds
7
Latest funding date
October 10, 2023
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2012
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Amazon WorkDocs |
Leader
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Satisfactory
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Amazon WorkDocs is a secure enterprise storage and sharing service with strong administrative controls and feedback capabilities that improve user productivity, users can comment on files, send to others for feedback, and upload new versions without having to resort to emailing multiple versions of files as attachments.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
Company
Type of company
private
Founding year
1996
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Google Cloud Firestore |
Leader
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Satisfactory
|
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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.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
50m-60m followers
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Amazon DocumentDB |
Challenger
|
Satisfactory
|
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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.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
Company
Type of company
private
Founding year
1996
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Couchbase Server |
Challenger
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Satisfactory
|
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Couchbase is a multi-model NoSQL database for mission-critical applications. It is designed to help deliver ever-richer and ever more personalized customer and employee experiences. Built with powerful NoSQL technology, the Couchbase Data Platform was architected on top of an open source foundation for the massively interactive enterprise. The geo-distributed Engagement Database promises to provide developer agility and manageability, as well as performance at any scale. Customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names. For more information, visit www.couchbase.com.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
50-100 case studies
Company's number of employees
400-1k employees
Company's social media followers
100k-1m followers
Total funding
$250-500m
# of funding rounds
9
Latest funding date
May 21, 2020
Last funding amount
$100-250m
Company
Type of company
public
Founding year
2009
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InterSystems IRIS |
Challenger
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Satisfactory
|
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InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
100-200 case studies
Company's number of employees
1k-2k employees
Company's social media followers
100k-1m followers
Company
Type of company
private
Founding year
1978
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Azure Cosmos DB |
Challenger
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Satisfactory
|
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Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
30m-40m followers
Company
Type of company
private
Founding year
2011
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IBM Cloudant |
Challenger
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Satisfactory
|
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Fully Managed — IBM Cloud service provides a fully managed, distributed JSON document database. Instantly deploy an instance, create databases, and independently scale throughput capacity and data storage to meet your application requirements. IBM expertise takes away the pain of hardware and software provisioning, patching and upgrades, while offering a 99.95 percent SLA. Secure — Cloudant is ISO27001, SOC 2 Type 2 compliant and HIPAA ready. All data is encrypted over the wire and at rest with optional user-defined key management through IBM Key Protect. Cloudant also offers an EU-managed service, that ensures all data and operations are handled solely by EU citizens. Global Availability — Available in all IBM Cloud regions and 55+ data centers across the world, Cloudant can easily be set up for disaster recovery between continents or scaling an app for a global release through a horizontal scaling architecture that can handle millions of users and terabytes of data to grow seamlessly alongside your business. All Cloudant instances are deployed on clusters that span availability zones in regions that support them, for added durability at no extra cost. Data flexibility — Leverage a flexible JSON schema and powerful API that is compatible with Apache CouchDB™, enabling you to access an abundance of language libraries and tools to rapidly build new applications and features. Durable replication — Move application data closer to all the places it needs to be — for uninterrupted data access, offline or on. Cloudant helps teams build Progressive Web Apps, develop with an offline-first architecture or manipulate data on edge devices. Powerful serverless API — Enhance your applications with built-in key-value, MapReduce, full-text search and geospatial querying that go beyond simple bounding boxes. Stream the changes feed for seamless integration with event-driven applications and IBM Cloud functions.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in document databases:
Document Databases Leaders
According to the weighted combination of 4 metrics
What are document databases
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current document databases customer satisfaction leaders:
Which document databases solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are document databases
market leaders?
Taking into account the latest metrics outlined below, these are the current document databases market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature document databases?
Which one has the most employees?
Which document databases companies have the most employees?
937 employees work for a typical company in this solution category which is 914 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 21 companies with >10 employees are offering document databases. Top 3 products are developed by companies with a total of 800k employees. The largest company in this domain is IBM with more than 300,000 employees. IBM provides the document databases solution: IBM Compose for Elasticsearch
Insights
What are the most common words describing document databases?
This data is collected from customer reviews for all document databases companies. The most positive word describing document databases is “Easy to use” that is used in 8% of the reviews. The most negative one is “Difficult” with which is used in 5% of all the document databases reviews.
What is the average customer size?
According to customer reviews, most common company size for document databases customers is 1-50 Employees. Customers with 1-50 Employees make up 42% of document databases customers. For an average Database solution, customers with 1-50 Employees make up 41% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all document databases. Document Databases are most positively evaluated in terms of "Overall" but falls behind in "Ease of Use".
Where are document databases vendors' HQs located?
Trends
What is the level of interest in document databases?
This category was searched on average for 8.8k times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other database solutions, a typical solution was searched 3.3k times in 2024 and this decreased to 0 in 2025.