# Top Free Document Databases

## How Many Document Databases Products Does G2 Track?

**Total Products under this Category:** 65

### Category Stats (Jul 2026)

- **Average Rating:** 4.23/5 (↓0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings

_Last updated: July 14, 2026_

## How Does G2 Rank Document Databases Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 3,200+ Authentic Reviews
- 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.

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

By [Elastic](https://www.g2.com/sellers/elastic)

[

4.5/5(292)

](https://www.g2.com/products/elastic-elasticsearch/reviews)

What do users say?

Users consistently praise Elasticsearch for its speed and scalability, making it ideal for handling large datasets and providing quick search results. The platform's flexibility and powerful search ca

Pros and Cons

[
Ease of Use (52)
](https://www.g2.com/products/elastic-elasticsearch/reviews?qs=pros-and-cons)[
Expensive (28)
](https://www.g2.com/products/elastic-elasticsearch/reviews?qs=pros-and-cons)

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

By [InterSystems](https://www.g2.com/sellers/intersystems)

[

4.6/5(68)

](https://www.g2.com/products/intersystems-iris/reviews)

What do users say?

Users consistently praise the high performance and flexibility of InterSystems IRIS, noting its ability to handle large volumes of data efficiently while integrating various data models seamlessly. Th

Pros and Cons

[
Features (9)
](https://www.g2.com/products/intersystems-iris/reviews?qs=pros-and-cons)[
Difficult Learning (6)
](https://www.g2.com/products/intersystems-iris/reviews?qs=pros-and-cons)

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

By [Couchbase](https://www.g2.com/sellers/couchbase)

[

4.3/5(151)

](https://www.g2.com/products/couchbase/reviews)

What do users say?

Users consistently praise Couchbase for its ease of use and high performance, particularly in handling large datasets and providing fast data access. Many appreciate its flexible data model and the ab

Pros and Cons

[
Flexibility (6)
](https://www.g2.com/products/couchbase/reviews?qs=pros-and-cons)[
Poor UI (3)
](https://www.g2.com/products/couchbase/reviews?qs=pros-and-cons)

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

By [Progress Software](https://www.g2.com/sellers/progress-software)

[

4.3/5(66)

](https://www.g2.com/products/progress-marklogic/reviews)

What do users say?

Users consistently praise MarkLogic for its robust search capabilities and flexibility in handling diverse data types. The platform's ability to manage both structured and unstructured data efficientl

## 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.

[
Arango
](https://www.g2.com/products/arango/reviews)

By [Arango](https://www.g2.com/sellers/arango)

[

4.6/5(115)

](https://www.g2.com/products/arango/reviews)

What do users say?

Users consistently praise the flexibility and intuitive query language of ArangoDB, which allows for seamless integration of document, graph, and key-value data models. This versatility simplifies com

Pros and Cons

[
Features (5)
](https://www.g2.com/products/arango/reviews?qs=pros-and-cons)[
Improvement Needed (4)
](https://www.g2.com/products/arango/reviews?qs=pros-and-cons)

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

By [Percona](https://www.g2.com/sellers/percona)

[

4.6/5(41)

](https://www.g2.com/products/percona-server-for-mongodb/reviews)

What do users say?

Users consistently praise the product for its high scalability and reliability, making it an excellent choice for managing large databases. Many appreciate its open-source nature and the enterprise fe

[
CrateDB
](https://www.g2.com/products/cratedb/reviews)

By [CrateDB](https://www.g2.com/sellers/cratedb)

[

4.4/5(85)

](https://www.g2.com/products/cratedb/reviews)

What do users say?

Users consistently praise CrateDB for its ease of use and scalability, making it a reliable choice for handling large datasets and real-time data processing. The integration of SQL with NoSQL capabili

Pros and Cons

[
Ease of Use (12)
](https://www.g2.com/products/cratedb/reviews?qs=pros-and-cons)[
Lack of Features (5)
](https://www.g2.com/products/cratedb/reviews?qs=pros-and-cons)

[
Fauna
](https://www.g2.com/products/fauna-fauna/reviews)

By [Fauna](https://www.g2.com/sellers/fauna)

[

4.4/5(25)

](https://www.g2.com/products/fauna-fauna/reviews)

What do users say?

Users consistently praise the product for its serverless nature and flexibility, allowing developers to focus on building applications without managing infrastructure. The ability to use a familiar sy

Pros and Cons

[
Scalability (4)
](https://www.g2.com/products/fauna-fauna/reviews?qs=pros-and-cons)[
Difficult Learning (2)
](https://www.g2.com/products/fauna-fauna/reviews?qs=pros-and-cons)

[
Tembo
](https://www.g2.com/products/tembo/reviews)

By [Tembo](https://www.g2.com/sellers/tembo)

[

4.7/5(26)

](https://www.g2.com/products/tembo/reviews)

What do users say?

Users consistently praise the intuitive interface of Tembo, which simplifies database management and makes it accessible for both tech-savvy and non-technical users. The platform's ability to streamli

Pros and Cons

[
Ease of Use (16)
](https://www.g2.com/products/tembo/reviews?qs=pros-and-cons)[
Limited Flexibility (5)
](https://www.g2.com/products/tembo/reviews?qs=pros-and-cons)

[
Aerospike
](https://www.g2.com/products/aerospike/reviews)

By [Aerospike](https://www.g2.com/sellers/aerospike)

[

4.4/5(83)

](https://www.g2.com/products/aerospike/reviews)

What do users say?

Users consistently praise the product for its high performance and ease of use, noting that it delivers sub-millisecond response times and is reliable in demanding environments. Many appreciate the mi

[
GigaSpaces
](https://www.g2.com/products/gigaspaces/reviews)

By [Gigaspaces](https://www.g2.com/sellers/gigaspaces)

[

4.6/5(14)

](https://www.g2.com/products/gigaspaces/reviews)

What do users say?

Users consistently praise the product for its high scalability and low latency, making it suitable for complex applications and large data volumes. The platform's ability to integrate transactional an

[
Harper
](https://www.g2.com/products/harper/reviews)

By [HarperDB](https://www.g2.com/sellers/harperdb)

[

4.8/5(4)

](https://www.g2.com/products/harper/reviews)

Product Description

HarperDB eliminates the complexity typically synonymous with distributed services by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application

[
Hazelcast Platform
](https://www.g2.com/products/hazelcast-platform/reviews)

By [Hazelcast](https://www.g2.com/sellers/hazelcast-9a5fe385-0ae1-4f16-99b0-f9f0ee1a4194)

[

4.3/5(13)

](https://www.g2.com/products/hazelcast-platform/reviews)

What do users say?

Users consistently praise the product for its high performance and ease of use, particularly in distributed caching and data management. Many appreciate its ability to handle large-scale applications

Pros and Cons

[
Ease of Use (1)
](https://www.g2.com/products/hazelcast-platform/reviews?qs=pros-and-cons)[
Learning Curve (1)
](https://www.g2.com/products/hazelcast-platform/reviews?qs=pros-and-cons)

[![G2 Advertising](/assets/my-g2-logo-41632af6f81a240a0a9886638f412b2ac9a29f4001534f8c83be89a58ef9d45d.svg "G2 Advertising")](https://sell.g2.com/case-studies/how-aisdr-uses-g2-ads-to-turn-g2-into-top-5-traffic-source)

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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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