# Best Graph Database Solutions

## How Many Graph Databases Products Does G2 Track?

**Total Products under this Category:** 70

### Category Stats (Aug 2026)

- **Average Rating:** 4.49/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** FalkorDB (+5.88%) - Among all products in this category, FalkorDB recorded the largest rating increase compared to last month

_Last updated: August 04, 2026_

## How Does G2 Rank Graph Databases Products?

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

- 30 Analysts and Data Experts
- 1,000+ Authentic Reviews
- 70+ 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 Graph Databases
 ![G2 Grid® for Graph Databases plotting products by satisfaction and market presence](https://www.g2.com/categories/graph-databases/grids.png?focus%5B%5D=16866&focus%5B%5D=52113&focus%5B%5D=18493&focus%5B%5D=6082&focus%5B%5D=167960&focus%5B%5D=14385&focus%5B%5D=43027&focus%5B%5D=16857)

Highlighted products: Arango, Amazon Neptune, Elastic Stack, Neo4j Graph Database, GraphJSON, OrientDB, Stardog, and FlockDB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/graph-databases/grids.json?focus%5B%5D=arango&focus%5B%5D=amazon-neptune&focus%5B%5D=elastic-stack&focus%5B%5D=neo4j-graph-database&focus%5B%5D=graphjson&focus%5B%5D=orientdb&focus%5B%5D=stardog&focus%5B%5D=flockdb)

**Sponsored**

### 15Five

15Five is the AI-powered performance management platform built for business impact. 15Five’s AI-powered all-in-one people management system is easy to use,
delivers effortless insights, and enables managers to lead with impact so that companies and their people can thrive. Within the flow of work, HR leaders are empowered with data-driven insights and recommendations while managers are transformed into changemakers, accelerating engagement, performance, and retention. 15Five combines generative AI, custom analytics, and human-centered principles within a complete platform, including 360° performance reviews, engagement surveys, goal tracking, manager coaching and training, and ongoing feedback tools like guided 1-on-1s and check-ins. Learn more at 15five.com.

[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=304&secure%5Bchosen_at%5D=2026-08-04T18%3A51%3A13Z&secure%5Bdisplayable_resource_id%5D=50&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=3797&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3797&secure%5Bresource_id%5D=304&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fgraph-databases&secure%5Btoken%5D=5feac3c755b8b9167ed89942e7b5cd7698836a3ae278603feef86f226651c152&secure%5Burl%5D=https%3A%2F%2Fwww.15five.com%2Fdemo%3Futm_campaign%3D41091668-G2%2520PPC%26utm_source%3Dppc%26utm_medium%3Dcpc%26utm_term%3DG2-ppc%26utm_content%3Dcategory-placement&secure%5Burl_type%5D=book_demo)

### [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: 8.8/10)
- **Data Model:** 9.2/10 (Category avg: 8.8/10)
- **Data Types:** 8.9/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.5/10 (Category avg: 8.4/10)

#### 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?

**["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)

**["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)

#### 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)

### [Amazon Neptune](https://www.g2.com/products/amazon-neptune/reviews)

Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for encryption at rest. Neptune is fully-managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

**Average Rating:** 4.3/5.0

**Total Reviews:** 31

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

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.8/10)
- **Data Model:** 9.4/10 (Category avg: 8.8/10)
- **Data Types:** 9.3/10 (Category avg: 8.8/10)
- **Built - In Search:** 9.7/10 (Category avg: 8.4/10)

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

- **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:** Computer Software
- **Company Size:** 65% Small, 26% Large

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

**["Amazon Neptune: High-Performance Managed Graph Database with Gremlin & SPARQL"](https://www.g2.com/survey_responses/amazon-neptune-review-13186272)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-neptune-review-13186272)

**["Amazon Neptune by AWS for Graph database management"](https://www.g2.com/survey_responses/amazon-neptune-review-9066572)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/amazon-neptune-review-9066572)

### [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews)

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

**Average Rating:** 4.5/5.0

**Total Reviews:** 106

#### How Do G2 Users Rate Elastic Stack?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10)
- **Data Model:** 10.0/10 (Category avg: 8.8/10)
- **Data Types:** 9.7/10 (Category avg: 8.8/10)
- **Built - In Search:** 9.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Elastic Stack?

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** NYSE: ESTC

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 47% Medium, 34% Large

#### What Do G2 Reviewers Say About Elastic Stack?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Elastic Stack, which simplifies log and metric analysis with a unified interface.
- Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse analytics needs.
- Users value the **unified log management** of Elastic Stack, enhancing issue correlation and system understanding seamlessly.
- Users value the **search efficiency** of Elastic Stack, enabling rapid issue correlation and comprehensive system insights.
- Users value the **versatility** of Elastic Stack, enjoying its seamless integration and flexibility across various deployment models.

##### Cons

- Users find the **resource management challenging** in Elastic Stack due to high demands and steep learning curves.
- Users report **complexity issues** with Elastic Stack, citing challenges in management, performance tuning, and steep learning curves.
- Users find Elastic Stack to be **expensive at scale** due to high resource requirements and additional licensing costs.
- Users find that Elastic Stack's **high memory usage** can lead to increased costs and complexity at scale.
- Users find the **learning curve steep** for Elastic Stack, needing expertise for optimal cluster management and performance.

#### What Are Recent G2 Reviews of Elastic Stack?

**["Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations"](https://www.g2.com/survey_responses/elastic-stack-review-12683691)**

**Rating:** 5.0/5.0 stars

_— Jai P._

[Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12683691)

**["Powerful Centralized Log Management with Elastic Stack"](https://www.g2.com/survey_responses/elastic-stack-review-12951407)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12951407)

#### What Are G2 Users Discussing About Elastic Stack?

- [How has Elastic Stack impacted your data search and analytics capabilities, and what do you recommend to new users?](https://www.g2.com/discussions/how-has-elastic-stack-impacted-your-data-search-and-analytics-capabilities-and-what-do-you-recommend-to-new-users)
- [What is Kibana monitoring?](https://www.g2.com/discussions/what-is-kibana-monitoring)
- [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment
- [What is Kibana built with?](https://www.g2.com/discussions/what-is-kibana-built-with)
- [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment

### [Neo4j Graph Database](https://www.g2.com/products/neo4j-graph-database/reviews)

The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher on Apache Spark (CApS) and Cypher for Gremlin.), Neo4j ETL and Kettle for data integration, and numerous additional tools, integrations and connectors to help developers and data scientists build graph-based solutions with ease. And the world's largest community to help enable any graph journey. Neo4j is the leading scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

**Average Rating:** 4.5/5.0

**Total Reviews:** 131

#### How Do G2 Users Rate Neo4j Graph Database?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.8/10)
- **Data Model:** 7.7/10 (Category avg: 8.8/10)
- **Data Types:** 8.3/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.0/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Neo4j Graph Database?

- **Seller:** [Neo4j](https://www.g2.com/sellers/neo4j)
- **Year Founded:** 2007
- **HQ Location:** San Mateo, CA
- **Twitter:** @neo4j  
47,112 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=58010b8d5b48860faa3ced1adb1169b6edb872cd216ddcfcbbae3e9038e64e69&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fneo4j%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,029 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 44% Small, 30% Medium

#### What Do G2 Reviewers Say About Neo4j Graph Database?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **natural modeling of complex relationships** in Neo4j, enhancing their ability to explore interconnected data efficiently.
- Users appreciate the **design flexibility** of Neo4j, enabling intuitive modeling of complex, interconnected data relationships.
- Users appreciate the **ease of use** of Neo4j, enabling efficient querying of complex interconnected data relationships.
- Users appreciate the **efficient relationship modeling** of Neo4j, allowing easy querying of complex, interconnected data structures.
- Users appreciate the **flexibility** of Neo4j, making it easy to model and query complex relationships in interconnected data.

##### Cons

- Users face **backup issues** with Neo4j, as restoring data from different versions can be quite complex and challenging.
- Users face **data management issues** in Neo4j, particularly with backup complexity and challenging imports from structured sources.
- Users face a **difficult learning curve** with Neo4j, especially when transitioning from traditional databases and query languages.
- Users face **import issues** with Neo4j, finding data transformation and integration from sources like Wiki challenging.
- Users face a **steep learning curve** with Neo4j due to complex backup processes and unfamiliar query language.

#### What Are Recent G2 Reviews of Neo4j Graph Database?

**["Neo4j Turns Historical Data into a Queryable Knowledge Graph"](https://www.g2.com/survey_responses/neo4j-graph-database-review-11077220)**

**Rating:** 5.0/5.0 stars

_— Gerhard S._

[Read full review](https://www.g2.com/survey_responses/neo4j-graph-database-review-11077220)

**["Best Graph Database for your data pattern insight and ML workload"](https://www.g2.com/survey_responses/neo4j-graph-database-review-9714165)**

**Rating:** 4.5/5.0 stars

_— Pratik A._

[Read full review](https://www.g2.com/survey_responses/neo4j-graph-database-review-9714165)

#### What Are G2 Users Discussing About Neo4j Graph Database?

- [What companies use neo4j?](https://www.g2.com/discussions/what-companies-use-neo4j) - 1 comment
- [Is neo4j enterprise free?](https://www.g2.com/discussions/is-neo4j-enterprise-free) - 2 comments
- [What are some of the benefits provided by the neo4j DBMS?](https://www.g2.com/discussions/what-are-some-of-the-benefits-provided-by-the-neo4j-dbms) - 1 comment
- [What is neo4j good for?](https://www.g2.com/discussions/what-is-neo4j-good-for) - 2 comments

### [GraphJSON](https://www.g2.com/products/graphjson/reviews)

Serverless, self-serve and affordable analytics designed to help you get the most out of your data.

**Average Rating:** 4.2/5.0

**Total Reviews:** 34

#### How Do G2 Users Rate GraphJSON?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.8/10)
- **Data Model:** 8.7/10 (Category avg: 8.8/10)
- **Data Types:** 7.9/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.2/10 (Category avg: 8.4/10)

#### Who Is the Company Behind GraphJSON?

- **Seller:** [GraphJSON](https://www.g2.com/sellers/graphjson)
- **HQ Location:** N/A
- **Twitter:** @GraphJSON  
513 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Small, 36% Medium

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

**["A Friendly Data Logging and Visualization Tool!"](https://www.g2.com/survey_responses/graphjson-review-10402179)**

**Rating:** 4.5/5.0 stars

_— Nayeem M._

[Read full review](https://www.g2.com/survey_responses/graphjson-review-10402179)

**["Real time Json data tracking and best analytics for developers."](https://www.g2.com/survey_responses/graphjson-review-10408781)**

**Rating:** 4.0/5.0 stars

_— Isalanya S._

[Read full review](https://www.g2.com/survey_responses/graphjson-review-10408781)

### [OrientDB](https://www.g2.com/products/orientdb/reviews)

OrientDB is the first Multi-Model Distributed DBMS with a True Graph Engine. Multi-Model means 2nd generation NoSQL able to manage complex domain with incredible performance. OrientDB manages relationships without using JOINs, but rather direct pointers. This allows to have constant performance on traversing relationships, no matter the database size.

**Average Rating:** 3.9/5.0

**Total Reviews:** 58

#### How Do G2 Users Rate OrientDB?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.8/10)
- **Data Model:** 8.6/10 (Category avg: 8.8/10)
- **Data Types:** 7.8/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.2/10 (Category avg: 8.4/10)

#### Who Is the Company Behind OrientDB?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Small, 42% Medium

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

**[""Best tool for Data Analyse""](https://www.g2.com/survey_responses/orientdb-review-10197417)**

**Rating:** 4.5/5.0 stars

_— Rupali S._

[Read full review](https://www.g2.com/survey_responses/orientdb-review-10197417)

**["Query performance optimizations by OrientDB are splendid for retrieval of specific data from graph"](https://www.g2.com/survey_responses/orientdb-review-7404425)**

**Rating:** 4.0/5.0 stars

_— Varshini S._

[Read full review](https://www.g2.com/survey_responses/orientdb-review-7404425)

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

- [What is multi-model database service?](https://www.g2.com/discussions/what-is-multi-model-database-service)
- [Is OrientDB a native graph database?](https://www.g2.com/discussions/is-orientdb-a-native-graph-database)
- [What type of database is OrientDB?](https://www.g2.com/discussions/what-type-of-database-is-orientdb)
- [How OrientDB works?](https://www.g2.com/discussions/how-orientdb-works)

### [Stardog](https://www.g2.com/products/stardog/reviews)

Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive business decisions. Stardog is an enterprise knowledge graph platform that allows customers to query massive, disparate, heterogeneous data regardless of structure with simplicity of implementation. Stardog’s enterprise customers include Fortune 500 companies in finance, healthcare, life sciences, energy, media, and government.

**Average Rating:** 4.2/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate Stardog?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.8/10)
- **Data Model:** 9.3/10 (Category avg: 8.8/10)
- **Data Types:** 8.1/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.8/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Stardog?

- **Seller:** [Stardog Union](https://www.g2.com/sellers/stardog-union)
- **HQ Location:** Arlington, VA
- **Twitter:** @StardogHQ  
3,964 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f9d7a5a7bfa0cf62b70db41e48e492a946078f96764631da7aab7012b704f850&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10917244&secure%5Burl_type%5D=linkedin_company_website)  
90 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 39% Small, 33% Large

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

**["Powerful Knowledge graph platform"](https://www.g2.com/survey_responses/stardog-review-8148846)**

**Rating:** 4.0/5.0 stars

_— Gokul N._

[Read full review](https://www.g2.com/survey_responses/stardog-review-8148846)

**["Stardog Graph Database"](https://www.g2.com/survey_responses/stardog-review-8622513)**

**Rating:** 5.0/5.0 stars

_— Prashanth D._

[Read full review](https://www.g2.com/survey_responses/stardog-review-8622513)

### [FlockDB](https://www.g2.com/products/flockdb/reviews)

FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

**Average Rating:** 3.6/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate FlockDB?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind FlockDB?

- **Seller:** [Twitter](https://www.g2.com/sellers/twitter)
- **Year Founded:** 2006
- **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=54450df0dc459b6e6f5c47c95721cb3d22a02f872e16efc252a6e03a3f152b6b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F96622%2F&secure%5Burl_type%5D=linkedin_company_website)  
991 employees on LinkedIn®
- **Ownership:** NYSE: TWTR
- **Total Revenue (USD mm):** $3,716

#### Who Uses This Product?

- **Company Size:** 36% Medium, 36% Small

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

**["Easy to use, simple platform to learn and adapt to"](https://www.g2.com/survey_responses/flockdb-review-3594575)**

**Rating:** 5.0/5.0 stars

_— Verified User in Retail_

[Read full review](https://www.g2.com/survey_responses/flockdb-review-3594575)

**["Great tool to keep your team connected virtually"](https://www.g2.com/survey_responses/flockdb-review-4296685)**

**Rating:** 4.5/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/flockdb-review-4296685)

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

- [What is FlockDB used for?](https://www.g2.com/discussions/what-is-flockdb-used-for)

### [Dgraph](https://www.g2.com/products/dgraph/reviews)

Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalability. Jepsen tested, it has the best performance, returning millisecond query responses on terabytes of data. Dgraph is ideal for a range of use cases, from customer 360 and fraud detection to complicated queries with multi-hops and arbitrary-depth joins. Strong performance and memory management make the graph database ideal for enterprises while Dgraph Cloud makes it quick and easy for app developers to launch a project over the weekend. Scale from zero to billions of records effortlessly. Available in open source and hosted versions (Dgraph Cloud) and enterprise license.

**Average Rating:** 4.7/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate Dgraph?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.8/10)
- **Data Model:** 9.7/10 (Category avg: 8.8/10)
- **Data Types:** 9.5/10 (Category avg: 8.8/10)
- **Built - In Search:** 9.4/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Dgraph?

- **Seller:** [Dgraph Labs](https://www.g2.com/sellers/dgraph-labs)
- **Year Founded:** 2016
- **HQ Location:** San Francisco, CA
- **Twitter:** @dgraphlabs  
16 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=207ee1cc86e226f263c892baac81681c72f55f625e90412518d0ffa3c5f2c98b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F13183384%2F&secure%5Burl_type%5D=linkedin_company_website)  
18 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 68% Small, 18% Large

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

**["Dgraph is great"](https://www.g2.com/survey_responses/dgraph-review-5362328)**

**Rating:** 4.0/5.0 stars

_— Tom H._

[Read full review](https://www.g2.com/survey_responses/dgraph-review-5362328)

**["Dgraph Cloud enable programmatic administration to manage our APIs & update GraphQL schema with ease"](https://www.g2.com/survey_responses/dgraph-review-7358745)**

**Rating:** 4.5/5.0 stars

_— Varshini S._

[Read full review](https://www.g2.com/survey_responses/dgraph-review-7358745)

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

- [Is Dgraph a graph database?](https://www.g2.com/discussions/is-dgraph-a-graph-database)
- [What is Dgraph type?](https://www.g2.com/discussions/what-is-dgraph-type) - 1 comment
- [What is Dgraph written?](https://www.g2.com/discussions/what-is-dgraph-written)
- [What is Dgraph used for?](https://www.g2.com/discussions/what-is-dgraph-used-for)

### [Tigergraph](https://www.g2.com/products/tigergraph/reviews)

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow.

**Average Rating:** 4.6/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Tigergraph?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10)
- **Data Model:** 9.3/10 (Category avg: 8.8/10)
- **Data Types:** 8.5/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Tigergraph?

- **Seller:** [Tigergraph](https://www.g2.com/sellers/tigergraph)
- **Year Founded:** 2012
- **HQ Location:** Redwood City, CA
- **Twitter:** @TigerGraphDB  
12,646 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4ac22e05a0ee1e38167adb116753e457517ba9681e4011302bb582f6e43d9c58&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3693966&secure%5Burl_type%5D=linkedin_company_website)  
144 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 55% Large, 36% Medium

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

**["TigerGraph used for CPG domain solution"](https://www.g2.com/survey_responses/tigergraph-review-10396360)**

**Rating:** 4.5/5.0 stars

_— Krunal K._

[Read full review](https://www.g2.com/survey_responses/tigergraph-review-10396360)

**["Exploring the Power of Graph with Tigergraph"](https://www.g2.com/survey_responses/tigergraph-review-10436330)**

**Rating:** 4.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/tigergraph-review-10436330)

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

- [What is Tigergraph used for?](https://www.g2.com/discussions/what-is-tigergraph-used-for)

### [GraphQL](https://www.g2.com/products/graphql/reviews)

GraphQL is an open-source data query language and runtime designed to streamline API development by enabling clients to request precisely the data they need. Developed internally by Facebook in 2012 and publicly released in 2015, GraphQL has become a foundational tool for modern application development, offering a more efficient and flexible alternative to traditional REST APIs. Key Features and Functionality: - Hierarchical Structure: GraphQL queries mirror the shape of the response data, making it intuitive for developers to predict and structure their requests. - Strong Typing: Each element in a GraphQL schema is explicitly typed, allowing for clear definitions of data structures and enabling robust validation and tooling support. - Introspection: GraphQL APIs are self-describing, allowing clients to query the schema for available types and operations, which facilitates dynamic client development and enhances discoverability. - Protocol Agnostic: GraphQL operates independently of any specific storage or transport protocol, enabling seamless integration with various databases and existing infrastructure. - Version-Free Evolution: The flexibility of GraphQL allows for the addition of new fields and types without impacting existing queries, eliminating the need for versioning and simplifying API evolution. Primary Value and Problem Solving: GraphQL addresses several challenges inherent in traditional API development: - Optimized Data Retrieval: By allowing clients to specify exact data requirements, GraphQL minimizes over-fetching and under-fetching of data, leading to more efficient network usage and improved application performance. - Enhanced Developer Productivity: The self-documenting nature of GraphQL schemas, combined with strong typing and introspection capabilities, accelerates development cycles and reduces the likelihood of errors. - Flexibility Across Platforms: GraphQL's language-agnostic design and support for multiple programming languages enable consistent API consumption across diverse platforms, including web, mobile, and IoT devices. - Simplified API Maintenance: The ability to evolve APIs without versioning complexities allows for smoother updates and feature additions, ensuring long-term maintainability and scalability. By providing a more efficient, flexible, and developer-friendly approach to API design, GraphQL empowers organizations to build high-performance applications that can adapt to evolving requirements and deliver superior user experiences.

**Average Rating:** 3.9/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate GraphQL?

- **Data Model:** 8.3/10 (Category avg: 8.8/10)
- **Data Types:** 10.0/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind GraphQL?

- **Seller:** [The GraphQL Foundation](https://www.g2.com/sellers/the-graphql-foundation)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @GraphQL  
127,224 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=949515eca1380a60906323245dbc65f6b9f2ca0bbac4f305f697374e2a8e7e3f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F51722505&secure%5Burl_type%5D=linkedin_company_website)  
13 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 64% Medium, 36% Small

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

**["Graphql review"](https://www.g2.com/survey_responses/graphql-review-10889039)**

**Rating:** 5.0/5.0 stars

_— Neha C._

[Read full review](https://www.g2.com/survey_responses/graphql-review-10889039)

**["Best API Gateway for your project."](https://www.g2.com/survey_responses/graphql-review-7246441)**

**Rating:** 4.5/5.0 stars

_— vijay b._

[Read full review](https://www.g2.com/survey_responses/graphql-review-7246441)

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

- [What is GraphQL used for?](https://www.g2.com/discussions/what-is-graphql-used-for)

### [Cayley](https://www.g2.com/products/cayley/reviews)

Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

**Average Rating:** 3.9/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Cayley?

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Cayley?

- **Seller:** [Cayley](https://www.g2.com/sellers/cayley)
- **HQ Location:** N/A
- **Twitter:** @cayleygraph  
730 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 45% Small, 36% Medium

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

**["Great graph db for lighter usecases"](https://www.g2.com/survey_responses/cayley-review-106309)**

**Rating:** 4.0/5.0 stars

_— Matthew C._

[Read full review](https://www.g2.com/survey_responses/cayley-review-106309)

**["Easy to use open-source graph Database "](https://www.g2.com/survey_responses/cayley-review-511045)**

**Rating:** 4.0/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/cayley-review-511045)

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

- [What is Cayley used for?](https://www.g2.com/discussions/what-is-cayley-used-for)

### [GraphBase](https://www.g2.com/products/graphbase/reviews)

GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

**Average Rating:** 4.4/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate GraphBase?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.8/10)
- **Data Model:** 7.8/10 (Category avg: 8.8/10)
- **Data Types:** 8.1/10 (Category avg: 8.8/10)
- **Built - In Search:** 6.9/10 (Category avg: 8.4/10)

#### Who Is the Company Behind GraphBase?

- **Seller:** [FactNexus](https://www.g2.com/sellers/factnexus)
- **Year Founded:** 2010
- **HQ Location:** Sydney
- **Twitter:** @AskKayBot  
5 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aa90f77d09e7824550affa12382d2986f3532f842d0464d783e6e70132cac5e7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1546147&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 38% Medium

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

**["Ever-ready data modal and visualizing tool"](https://www.g2.com/survey_responses/graphbase-review-9233557)**

**Rating:** 5.0/5.0 stars

_— Robert H._

[Read full review](https://www.g2.com/survey_responses/graphbase-review-9233557)

**["My go to tool for creating insightful Graphs"](https://www.g2.com/survey_responses/graphbase-review-9212929)**

**Rating:** 4.5/5.0 stars

_— Vanshika N._

[Read full review](https://www.g2.com/survey_responses/graphbase-review-9212929)

### [Redis Cloud](https://www.g2.com/products/redis-cloud/reviews)

Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, without the hassle of managing infrastructure. Redis Cloud surpasses Redis-compatible cloud services built on open source such as Amazon ElastiCache and Google Cloud Memorystore by offering enterprise-grade features like active-active geo-distribution, advanced query and search capabilities, seamless data synchronization, and multi-cloud support.

**Average Rating:** 4.6/5.0

**Total Reviews:** 42

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

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Redis Cloud?

- **Seller:** [Redis](https://www.g2.com/sellers/redis)
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @Redisinc  
44,002 Twitter followers
- **LinkedIn® Page:** [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?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 50% Small, 41% Medium

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

**["Redis key deploying"](https://www.g2.com/survey_responses/redis-cloud-review-11239966)**

**Rating:** 5.0/5.0 stars

_— mangu d._

[Read full review](https://www.g2.com/survey_responses/redis-cloud-review-11239966)

**["Redis Cloud Delivers Speed and Reliability with Hassle-Free Managed Scaling"](https://www.g2.com/survey_responses/redis-cloud-review-11743730)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer & Network Security_

[Read full review](https://www.g2.com/survey_responses/redis-cloud-review-11743730)

#### What Are G2 Users Discussing About Redis Cloud?

- [What is Redis architecture?](https://www.g2.com/discussions/what-is-redis-architecture) - 1 comment
- [Is Redis Enterprise Open Source?](https://www.g2.com/discussions/is-redis-enterprise-open-source)
- [Is Redis enterprise software free?](https://www.g2.com/discussions/is-redis-enterprise-software-free)
- [What is Enterprise Redis?](https://www.g2.com/discussions/what-is-enterprise-redis)

### [EdgeDB](https://www.g2.com/products/edgedb/reviews)

Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links.

**Average Rating:** 4.0/5.0

**Total Reviews:** 8

#### How Do G2 Users Rate EdgeDB?

- **Data Model:** 7.0/10 (Category avg: 8.8/10)
- **Data Types:** 7.1/10 (Category avg: 8.8/10)
- **Built - In Search:** 8.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind EdgeDB?

- **Seller:** [EdgeDB](https://www.g2.com/sellers/edgedb)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=10e9a4902c8e47be645cb100379c8f9af870f06b528a7fbcff4747c67b821f02&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fedgedb%2F&secure%5Burl_type%5D=linkedin_company_website)  
24 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Small, 22% Medium

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

**["Great Experience with the EdgeDb"](https://www.g2.com/survey_responses/edgedb-review-10446219)**

**Rating:** 4.5/5.0 stars

_— Sanjay K._

[Read full review](https://www.g2.com/survey_responses/edgedb-review-10446219)

**["To reach simple solutions to track and analyze data that maintains the sustainability of monitoring."](https://www.g2.com/survey_responses/edgedb-review-10529443)**

**Rating:** 5.0/5.0 stars

_— Gal O._

[Read full review](https://www.g2.com/survey_responses/edgedb-review-10529443)

- ‹ Prev‹ Prev
- 1
- [2](/categories/graph-databases?order=g2_score&page=2#product-list)
- [3](/categories/graph-databases?order=g2_score&page=3#product-list)
- [4](/categories/graph-databases?order=g2_score&page=4#product-list)
- [5](/categories/graph-databases?order=g2_score&page=5#product-list)
- [Next ›Next ›](/categories/graph-databases?order=g2_score&page=2#product-list)

Spotlight Categories

[Influencer Marketing Platforms](https://www.g2.com/categories/influencer-marketing-platforms)

[Customer Service Automation Software](https://www.g2.com/categories/customer-service-automation)

[Event Management Platforms](https://www.g2.com/categories/event-management-platforms)

[Sales Intelligence Software](https://www.g2.com/categories/sales-intelligence)

[Anti Money Laundering Software](https://www.g2.com/categories/anti-money-laundering)

Similar Categories

- [Infrastructure as a Service (IaaS)](/categories/infrastructure-as-a-service-iaas)
- [Active Metadata Management](/categories/active-metadata-management)
- [Address Verification](/categories/address-verification)
- [AIOps Platforms](/categories/aiops-platforms)
- [Application Server](/categories/application-server)

- [Blockchain](/categories/blockchain)
- [Cloud File Storage](/categories/cloud-file-storage)
- [Database Software](/categories/database-software)
- [Data Center Infrastructure Management (DCIM)](/categories/data-center-infrastructure-management-dcim)
- [Data Center Networking](/categories/data-center-networking)

- [Data Exchange Platforms](/categories/data-exchange-platforms)
- [Data Fabric](/categories/data-fabric)
- [Data Integration Tools](/categories/data-integration-tools)
- [Data Management Software](/categories/data-management-software)
- [Data Mapping](/categories/data-mapping)

 ![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 8, 2024

Graph databases use topographical data models to store data. These databases connect specific data points (nodes) and create relationships (edges) in the form of graphs that can then be pulled by the user with queries. Nodes can represent customers, companies, or any data a company chooses to record. Edges are formed by the database so that relationships between nodes are easily understood by the user. Businesses can utilize graph databases when they are pulling data and do not want to spend time organizing it into distinct relationships. Large enterprises may use complex queries to pull precise and in-depth information regarding their customer and user information or product tracking data, among other uses. Database administrators can scale high data values and still create usable models. Some businesses may choose to run an RDF database, a type of graph database that focuses on retrieving triples, or information organized in a subject-predicate-object relationship. Similar types of databases include [document database](https://www.g2.com/categories/document-databases) tools, [key-value store](https://www.g2.com/categories/key-value-stores) tools, [object-orientated database](https://www.g2.com/categories/object-oriented-databases) tools and more. Developers who are looking for an affordable solution can look to [free database software](https://learn.g2.com/free-database-software).

To qualify for inclusion in the Graph Database category, a product must:

- Provide data storage
- Record and represent data in a topographical schema
- Allow users to retrieve the data using query language

Show More

### Graph Databases Topics

- [What are Graph Databases?](#what-are-graph-databases)
- [Why Use Graph Databases?](#why-use-graph-databases)
- [Who Uses Graph Databases?](#who-uses-graph-databases)
- [Graph Databases Features](#graph-databases-features)
- [Trends Related to Graph Databases](#trends-related-to-graph-databases)
- [Potential Issues with Graph Databases](#potential-issues-with-graph-databases)
- [Software and Services Related to Graph Databases](#software-and-services-related-to-graph-databases)

[
### Graph Databases Topics
Expand/Collapse ](#)
- [What are Graph Databases?](#what-are-graph-databases)
- [Why Use Graph Databases?](#why-use-graph-databases)
- [Who Uses Graph Databases?](#who-uses-graph-databases)
- [Graph Databases Features](#graph-databases-features)
- [Trends Related to Graph Databases](#trends-related-to-graph-databases)
- [Potential Issues with Graph Databases](#potential-issues-with-graph-databases)
- [Software and Services Related to Graph Databases](#software-and-services-related-to-graph-databases)

## Learn More About Graph Databases

### What are Graph Databases?

Graph databases are designed for depicting relationships (_edges_) between data points (_nodes_). Less structurally rigid than relational databases, graph databases allow nodes to have a multitude of edges; that is, there’s no limit on the number of relationships a node can have. (An example of this is in the following section.) Additionally, each edge can have multiple characteristics which define it. There is no formal limit—nor standardization—on how many edges each node can have, nor how many characteristics an edge can have. Graph databases can also contain many different pieces of information that would not necessarily be normally related.

Each node is defined by pieces of information called _properties_. Properties could be names, dates, identification numbers, basic descriptors, or other information—anything that would describe the node itself. Nodes are connected by edges, which can be _directed_ or _undirected_. Like in mathematical graph theory, an undirected edge is _bidirectional_; that is, a relationship can be carried from node A to node B, and from node B to node A. A directed edge, however, only carries meaning in one direction, say from node B to node A.

Key Benefits of Graph Databases

- Organize a variety of data without rigid structures
- Offer flexible scaling and adjustment inherently
- Describe numerous data relationship characteristics simultaneously

### Why Use Graph Databases?

Graph databases are ideal for storing and retrieving information that is independent but related in multiple ways. For example, say a user wanted to map a group of friends. Each friend would be a node, with edges between each friend with a characteristic “friends." But, say two of those friends are coworkers; then, their edge would also have a characteristic “coworkers." Edges can get further definition by adding common interests, personal experiences, and so on.

Because graph databases are, by design, most conducive to organizing broad sets of data through which there are not uniform relationships or kinds of data, they can be invaluable tools for social mapping, master data management, knowledge graphing/ontology, infrastructure mapping, recommendation engines, and more. A business could set each node to be one of their products, and let edges draw recommendation relationships based on what product a consumer might buy. It could also map relationships between contacts, departments, and more.

Graph databases are flexible and scalable by design, so a business user would not need to know an exact or complete use case for a graph database before creating it. Expanding a graph database is a matter of adding new nodes and any potential edges which might be associated with them.

### Who Uses Graph Databases?

Like other databases, graph databases are primarily maintained by a database administrator or team. That said, because of their wide range of coverage, graph databases are often accessed by several organizations within a company. Development, IT, billing, and more would all have valid reasons for needing access to graph databases, pending their assigned uses within the company.

### Graph Databases Features

Graph database solutions will typically have the following features.

Database creation and maintenance — Graph databases allow users to easily build and maintain a database(s).

CRUD operations — An acronym for _create, read, update, and delete_, CRUD operations delineate basic operations of many databases. Graph databases should be able to perform these operations and usually can with similar capability to the most notable CRUD-oriented database type, relational.

Scalability and flexibility — Graph databases can grow and expand with business requirements. Unlike some other database solutions, they can scale more quickly with less worry about strict data organization, relying instead on developing relationships between new and existing nodes.

Simplified querying — Graph databases can skip some larger query complexities, bypassing things like foreign keys, nested queries, and join statements in favor of direct or transitive relationships.

OS compatibility — Graph databases do not require any one specific operating system to run, making them a flexible choice for any operating system.

### Trends Related to Graph Databases

Graph vs. relational — The graph database vs. relational database discussion is an ongoing point of conflict for database users and administrators alike. Graph databases generally lend themselves to more fluid data querying off simpler querying syntax, and are generally better at scaling without needing to prepare new or specific schema. But, relational databases’ schema rigidity and data normalization can be extremely beneficial in some use cases, and they are also generally more conducive to security and privacy policy implementation and enforcement.

### Potential Issues with Graph Databases

Security and privacy — As alluded to above, graph databases can struggle with security and privacy situations. They require more strict implementations of security and access measures. Since graph databases are more oriented toward mapping relationships, that structure can also be utilized in ways that could raise privacy concerns, such as revealing a more laid-bare view of a client or customer—and every other potential client or customer to which they are related. Businesses implementing graph databases should take extra care to secure both how these databases are accessed, and the databases themselves.

Data integrity implications — Graph databases simplify the ways in which information relates to other information. In doing so, by shortening or condensing the relationship (as compared to, say, traversing numerous tables in a relational database), it’s particularly vital that all data in a graph database is accurate. One improperly aligned relationship can directly lead to incorrect data, unlike in a relational database where improper data might hit a snag during a nested query, throw an error, and out the issue. So, in using graph databases, data integrity is of particularly high importance.

### Software and Services Related to Graph Databases

Many conversations around graph databases are contextualized by one or both of the following alternatives.

[RDF databases](https://www.g2.com/categories/rdf-databases) — A type of graph database, resource description framework (RDF) or _triplestore_ databases function around the concept of storing data as triples. Triples—in a “subject–predicate–object" format—are used specifically to describe the relationship between two things.

[Relational databases](https://www.g2.com/categories/relational-databases) — Relational databases—the standard “rows and columns" data stores—had been the standard for databases virtually since inception. They carry with them significantly more rigid structure than graph databases, which can be extremely beneficial for tracking large volumes of like data but might make it more complicated to follow relationships between that data.