# Best Graph Database Solutions - Page 4

## 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 06, 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)

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### [TerminusDB](https://www.g2.com/products/terminusdb/reviews)

TerminusDB is an open source in-memory graph database designed for the web age. TerminusDB makes a radical departure from historical architectures. First, we implement a graph database with a strong schema so as to retain both simplicity and generality of design. Second, we implement this graph using succinct immutable data structures which enables more sparing use of main memory resources.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate TerminusDB?

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

#### Who Is the Company Behind TerminusDB?

- **Seller:** [TerminusDB](https://www.g2.com/sellers/terminusdb)
- **Year Founded:** 2019
- **HQ Location:** Dublin, IE
- **Twitter:** @TerminusDB  
1,204 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5475aa1efed8914bc5f23f5530e8aa77275aedbc340de654ea89111e1c78bbc9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F42874959&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

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

**["TerminusDB for storing records."](https://www.g2.com/survey_responses/terminusdb-review-5233685)**

**Rating:** 4.5/5.0 stars

_— Aman R._

[Read full review](https://www.g2.com/survey_responses/terminusdb-review-5233685)

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

TIBCO Graph Database allows you to discover, store, and convert complex dynamic data into meaningful insights.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

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

- **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group)
- **HQ Location:** Fort Lauderdale, FL
- **Twitter:** @cloudsoftware  
124 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86a8da07f19bbb6871acf9d6e74baf5f74966e23f959aac6dd81145864d554b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcloudsoftwaregroup%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,527 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

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

**["The Bigger Picture Made Easy"](https://www.g2.com/survey_responses/tibco-graph-database-review-4977910)**

**Rating:** 4.5/5.0 stars

_— Sam E._

[Read full review](https://www.g2.com/survey_responses/tibco-graph-database-review-4977910)

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

- [What is TIBCO Graph Database used for?](https://www.g2.com/discussions/what-is-tibco-graph-database-used-for)

### [TopQuadrant](https://www.g2.com/products/topquadrant/reviews)

TopBraid EDG is a comprehensive data governance platform designed to help organizations manage, connect, and make sense of their data assets with unmatched flexibility and transparency. Powered by semantic web standards and knowledge graph technology, TopBraid EDG helps build an AI-ready data foundation for governing your data at scale. By seamlessly integrating taxonomies, ontologies, structured and unstructured data, and policies, TopBraid EDG enables dynamic, enterprise-wide semantic interoperability to connect disparate systems, drive smarter decision-making and compliance that inject policy into the data layer. With its scalable, extensible architecture, TopBraid EDG empowers organizations to unlock the full potential of their data while maintaining trust, accuracy, and agility.

**Average Rating:** 4.7/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate TopQuadrant?

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

#### Who Is the Company Behind TopQuadrant?

- **Seller:** [TopQuadrant](https://www.g2.com/sellers/topquadrant)
- **Company Website:** topquadrant.com
- **Year Founded:** 2001
- **HQ Location:** Raleigh, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7b5b6537de97af93510ed6f642ec255955f2818c10f7158602f57859abfa4895&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftopquadrant&secure%5Burl_type%5D=linkedin_company_website)  
35 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Medium

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

**["Rich HTTP Integration Support That Makes Taxonomy Workflows Easier"](https://www.g2.com/survey_responses/topquadrant-review-12512470)**

**Rating:** 5.0/5.0 stars

_— Verified User in Health, Wellness and Fitness_

[Read full review](https://www.g2.com/survey_responses/topquadrant-review-12512470)

**["Empowers Small Teams with Robust Metadata Reuse"](https://www.g2.com/survey_responses/topquadrant-review-12536057)**

**Rating:** 5.0/5.0 stars

_— Carrie H._

[Read full review](https://www.g2.com/survey_responses/topquadrant-review-12536057)

### [VelocityGraph](https://www.g2.com/products/velocitygraph/reviews)

VelocityGraph extends the object-oriented database VelocityDB into a graph database.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate VelocityGraph?

- **Data Model:** 10.0/10 (Category avg: 8.8/10)
- **Data Types:** 10.0/10 (Category avg: 8.8/10)
- **Built - In Search:** 6.7/10 (Category avg: 8.4/10)

#### Who Is the Company Behind VelocityGraph?

- **Seller:** [VelocityDB](https://www.g2.com/sellers/velocitydb)
- **Year Founded:** 2011
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c36cb0aa1a4862d5f364f693ae4deb6abae1123fb018ec8f4d7ca81228c2a6a3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvelocitydb-inc-%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 200% Medium

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

**["Imaginatively conceptualitize how relational databases"](https://www.g2.com/survey_responses/velocitygraph-review-9983345)**

**Rating:** 4.5/5.0 stars

_— Moneim H._

[Read full review](https://www.g2.com/survey_responses/velocitygraph-review-9983345)

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

Aerospike is a multi-model, distributed NoSQL database built for operational workloads that need low-latency, high-throughput data access at scale. Its hybrid memory architecture combines RAM and flash storage to deliver near-in-memory performance at a lower cost than pure in-memory databases. Aerospike supports key-value and document data models, strong consistency, ACID transactions, and horizontal scalability across servers and regions. It's used for real-time bidding, fraud detection, recommendation engines, and session management, where performance must stay predictable as data and traffic grow.

**Average Rating:** 4.4/5.0

**Total Reviews:** 80

#### How Do G2 Users Rate Aerospike?

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

#### Who Is the Company Behind Aerospike?

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb  
7,825 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1efcdd1cb1be6598faab632ab3932d491ce3bd25f4cbb89562a0fbedc6323c4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2696852%2F&secure%5Burl_type%5D=linkedin_company_website)  
307 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 45% Medium, 34% Large

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

**["Unbelievably fast database with super replication - started production with it in one day"](https://www.g2.com/survey_responses/aerospike-review-4484061)**

**Rating:** 5.0/5.0 stars

_— Aleksander K._

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4484061)

**["NOSQL database that is highly scalable."](https://www.g2.com/survey_responses/aerospike-review-4548629)**

**Rating:** 4.5/5.0 stars

_— Shashank S._

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4548629)

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

- [How has Aerospike supported your real-time data processing, and what do you like most about it?](https://www.g2.com/discussions/how-has-aerospike-supported-your-real-time-data-processing-and-what-do-you-like-most-about-it)
- [What is Aerospike used for?](https://www.g2.com/discussions/aerospike-what-is-aerospike-used-for)
- [Is NoSQL an Aerospike?](https://www.g2.com/discussions/is-nosql-an-aerospike)
- [Is Aerospike free?](https://www.g2.com/discussions/is-aerospike-free)
- [What is Aerospike used for?](https://www.g2.com/discussions/what-is-aerospike-used-for)

### [Aerospike Graph](https://www.g2.com/products/aerospike-graph/reviews)

Aerospike Graph is a high-performance, distributed graph database designed to manage and query extensive graph datasets with exceptional speed and scalability. Built upon the robust Aerospike Database, it leverages the Apache TinkerPop framework to support complex graph computations. Aerospike Graph is ideal for applications such as customer 360, identity graphs, and fraud detection, offering real-time performance even at enterprise-scale data volumes.

#### Who Is the Company Behind Aerospike Graph?

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb  
7,825 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1efcdd1cb1be6598faab632ab3932d491ce3bd25f4cbb89562a0fbedc6323c4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2696852%2F&secure%5Burl_type%5D=linkedin_company_website)  
307 employees on LinkedIn®

### [BangDB](https://www.g2.com/products/iqlect-bangdb/reviews)

BangDB is a platform that provides an end-to-end solution for real-time big data analytics process.

**Average Rating:** 3.5/5.0

**Total Reviews:** 1

#### Who Is the Company Behind BangDB?

- **Seller:** [IQLECT](https://www.g2.com/sellers/iqlect)
- **HQ Location:** Bangalore, India
- **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:** 100% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **additional tools and options** for enhanced search and data visibility in BangDB.
- Users appreciate the **search efficiency** of BangDB, benefiting from enhanced tools and options for better data visibility.
- Users appreciate the **enhanced visibility** offered by BangDB, improving search capabilities and data access.

##### Cons

- Users find the **difficult learning curve** of BangDB a barrier to initial engagement and usability.
- Users find the **learning difficulty** of BangDB could deter potential users from getting started effectively.

### [Coreon Multilingual Knowledge System](https://www.g2.com/products/coreon-multilingual-knowledge-system/reviews)

#### Who Is the Company Behind Coreon Multilingual Knowledge System?

- **Seller:** [Coreon](https://www.g2.com/sellers/coreon)
- **Year Founded:** 2012
- **HQ Location:** Berlin, DE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1da7ae7f9443b2a84f1948538b3a76d7533683825de001f62351c6adbc58d97f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9390642&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

### [Data Graphs](https://www.g2.com/products/data-graphs/reviews)

The fastest and most usable knowledge graph database. Launch intelligent products in record time. Data Graphs is the fastest enterprise Knowledge Graph Database platform, both in performance and in speed of setup and launch. Model, load, explore, integrate and roll out with ease. No need to worry about tech complexity. Robust data governance is built right in.

#### Who Is the Company Behind Data Graphs?

- **Seller:** [Data Language](https://www.g2.com/sellers/data-language)
- **Year Founded:** 2014
- **HQ Location:** London, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=96b3dc35747fd4ea7c057a770df87a98e6e814332263a857a1b611896f1e7958&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatalanguage&secure%5Burl_type%5D=linkedin_company_website)  
14 employees on LinkedIn®

### [Enterprise GraphQL Platform](https://www.g2.com/products/enterprise-graphql-platform/reviews)

Grafbase is a GraphQL platform designed for managing federated graphs in enterprise environments, across distributed systems. It provides a unified gateway that allows teams to compose APIs from multiple data sources using a declarative CLI, configuration model, and extensible runtime. Grafbase includes a schema registry, schema checks, support for persisted queries, and tooling for local development and deployment automation. Extensions enable secure integration with third-party systems and allow incremental adoption of federation across teams and environments. Security capabilities include authentication, authorization, access tokens, message signing, and trusted documents. Traffic controls such as rate limiting, operation limits, and query complexity rules are built in. Grafbase supports both self-hosted and managed cloud deployments, with advanced configuration options designed to support platform engineering practices, infrastructure controls, and SDLC governance models.

#### Who Is the Company Behind Enterprise GraphQL Platform?

- **Seller:** [Grafbase](https://www.g2.com/sellers/grafbase)
- **Year Founded:** 2021
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=30876f5df6f2cea4c0fe17312a06880784b3267a93315d3ac64fb2cd25ae4bea&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fgrafbase&secure%5Burl_type%5D=linkedin_company_website)  
13 employees on LinkedIn®

### [Fluree](https://www.g2.com/products/fluree/reviews)

Fluree is a comprehensive data management platform designed to create secure, interoperable, and verifiable data ecosystems. By integrating blockchain technology with a graph database structure, Fluree ensures data integrity, facilitates seamless data sharing, and supports complex data relationships. This approach empowers organizations to build trusted, linked, and composable data systems that can scale across applications, organizations, and devices. Key Features and Functionality: - Fluree Core: An open-source knowledge graph database that embeds digital trust, data-driven access policies, and linked data standards. It supports multiple query languages, including SPARQL, GraphQL, SQL, and FlureeQL, and offers fine-grained access control. - Fluree Sense: An AI-driven pipeline that ingests, classifies, and masters structured data, transforming raw business data into semantic golden records. It automates data discovery, cleansing, and mapping processes, enhancing data quality and interoperability. - Fluree CAM : Utilizes natural language processing to automatically classify and tag unstructured digital assets, converting them into organized, semantically rich content. - Fluree ITM : Enables the creation and maintenance of controlled vocabularies, from simple taxonomies to complex ontologies, facilitating consistent data modeling and management. Primary Value and User Solutions: Fluree addresses the challenges of data silos, security, and interoperability by providing a unified platform that embeds trust and governance directly into the data layer. Organizations can leverage Fluree to: - Ensure Data Integrity and Security: By combining blockchain technology with a graph database, Fluree offers tamper-proof data storage and fine-grained access control, ensuring data remains secure and verifiable. - Facilitate Seamless Data Sharing: Fluree's support for linked data standards and its composable architecture enable organizations to break down data silos, allowing for efficient data sharing across applications, departments, and external partners. - Enhance Data Quality and Interoperability: Through AI-driven tools like Fluree Sense and Fluree CAM, organizations can automate the cleansing, classification, and mapping of both structured and unstructured data, resulting in high-quality, interoperable data assets. - Support Advanced Analytics and AI Initiatives: Fluree's knowledge graph database structure and semantic capabilities provide a robust foundation for advanced analytics, machine learning, and AI applications, enabling organizations to derive deeper insights and drive innovation. By integrating these features, Fluree empowers organizations to build intelligent data ecosystems that are secure, scalable, and ready to meet the demands of modern data management and analytics.

#### Who Is the Company Behind Fluree?

- **Seller:** [Fluree](https://www.g2.com/sellers/fluree)
- **Year Founded:** 2017
- **HQ Location:** Winston Salem, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4f898235b04962226de40821fc3936baffab6413e8b52ac64d28b5d9e415ca20&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffluree-pbc%2F&secure%5Burl_type%5D=linkedin_company_website)  
50 employees on LinkedIn®

### [Gemini Data](https://www.g2.com/products/gemini-data/reviews)

Gemini Enterprise is a cloud-native, no-code platform designed to seamlessly integrate generative AI with your organization's critical business data. By creating a contextual layer atop existing data sources, it enables rapid decision-making through a secure and trustworthy AI experience. This user-friendly platform allows both technical and non-technical users to connect, manage, and analyze data without the need for specialized IT skills, accelerating the adoption of AI-driven insights across the enterprise. Key Features and Functionality: - Data Connectivity: Easily connect to various enterprise data sources, including sales, finance, products, supply chain, and security, facilitating comprehensive data integration. - No-Code Interface: Utilize a wizard-driven, no-code environment that simplifies data importation and modeling, eliminating the need for complex coding or query languages. - Semantic Layer Creation: Develop a semantic understanding of your data to enhance accuracy, specificity, and explainability, thereby minimizing AI hallucinations. - Generative AI Agnostic: Apply the latest generative AI models to your business data without requiring machine learning expertise, fine-tuning, or additional training. - Enterprise AI Assistant: Interact with an AI assistant capable of answering business-related questions and generating analytical reports, streamlining information retrieval and reporting processes. Primary Value and Problem Solved: Gemini Enterprise addresses the challenge of integrating generative AI into existing business infrastructures by providing a straightforward, secure, and efficient platform. It empowers organizations to harness AI capabilities without the typical complexities associated with data integration and model training. By enabling rapid deployment and broad adoption, Gemini Enterprise enhances decision-making processes, improves operational efficiency, and delivers a higher return on AI investments.

**Average Rating:** 3.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Gemini Data?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Gemini Data?

- **Seller:** [Gemini Data](https://www.g2.com/sellers/gemini-data)
- **Year Founded:** 2015
- **HQ Location:** Greenbrae, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2f4d6f986912283377a00f64f81db3e5315051fb6659c010d1c9061dee41d583&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgemini-data-inc&secure%5Burl_type%5D=linkedin_company_website)  
29 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Are Recent G2 Reviews of Gemini Data?

**["Benefits of Gemini data"](https://www.g2.com/survey_responses/gemini-data-review-9621847)**

**Rating:** 4.5/5.0 stars

_— Vasundhra B._

[Read full review](https://www.g2.com/survey_responses/gemini-data-review-9621847)

### [Graph Story](https://www.g2.com/products/graph-story/reviews)

Graph Story provides graph databases, applications and solutions as a service.

#### Who Is the Company Behind Graph Story?

- **Seller:** [Graph Story](https://www.g2.com/sellers/graph-story)
- **Year Founded:** 2014
- **HQ Location:** Memphis, US
- **Twitter:** @graphstoryco  
582 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1a1d85e83e9dea0689a73ccba25b5852eb5c09ea5901136090e961d09feb2df1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgraph-story%2F&secure%5Burl_type%5D=linkedin_company_website)  
6 employees on LinkedIn®

### [IBM Compose for JanusGraph](https://www.g2.com/products/ibm-compose-for-janusgraph/reviews)

JanusGraph is a scalable graph database optimized for storing and querying highly-interconnected data and provides you with simple and efficient data retrieval from complex structures

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate IBM Compose for JanusGraph?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind IBM Compose for JanusGraph?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of IBM Compose for JanusGraph?

**["Amazing tool! "](https://www.g2.com/survey_responses/ibm-compose-for-janusgraph-review-2096571)**

**Rating:** 4.0/5.0 stars

_— Verified User in Building Materials_

[Read full review](https://www.g2.com/survey_responses/ibm-compose-for-janusgraph-review-2096571)

#### What Are G2 Users Discussing About IBM Compose for JanusGraph?

- [What is IBM Compose for JanusGraph used for?](https://www.g2.com/discussions/what-is-ibm-compose-for-janusgraph-used-for)

### [Macrometa](https://www.g2.com/products/macrometa/reviews)

Macrometa is a hyper-distributed cloud platform featuring a Global Data Network (GDN) and PhotonIQ, an AI-powered Edge Delivery Network. With over 175 points of presence (PoPs) worldwide, Macrometa empowers enterprises to build real-time apps and APIs that store, process, and serve data within milliseconds to users globally. PhotonIQ: AI-Driven Edge Services PhotonIQ, Macrometa's suite of edge services, leverages AI and machine learning to deliver faster, more efficient, and secure digital experiences across various sectors including eCommerce, Gaming, and Financial Services. Key PhotonIQ services include: Performance Proxy (P3): Improves Core Web Vitals and optimizes web assets Dynamic Prerendering: Enhances site speed and SEO Virtual Waiting Rooms: Manages high-traffic scenarios Digital Fingerprinting: Enables privacy-preserving user tracking Unparalleled Performance Macrometa's platform ensures global P90 roundtrip response times of under 50ms, with the ability to serve results in under 50ms globally. This ultra-fast performance can significantly boost conversions, with increases of up to 72% reported for app performance improvements. Cost-Efficient and Developer-Friendly Macrometa's efficient architecture typically reduces cloud spend by 50% or more compared to traditional providers. The platform accelerates development cycles, allowing enterprises to implement PhotonIQ's AI at the edge services in 60 days or less. Developers can leverage Macrometa's API in any programming language, facilitating rapid product development and feature deployment without requiring expertise in distributed systems. By combining cutting-edge technology with ease of use, Macrometa enables businesses to deliver exceptional user experiences, drive organic traffic, and achieve substantial improvements in web performance and security.

#### Who Is the Company Behind Macrometa?

- **Seller:** [Macrometa](https://www.g2.com/sellers/macrometa)
- **Year Founded:** 2017
- **HQ Location:** Palo Alto, US
- **Twitter:** @macrometa  
397 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f82a35119333c1d28563c6cd0b6fe14a0fbd905956135c36c6b04fd7edf75ff1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmacrometa-corporation&secure%5Burl_type%5D=linkedin_company_website)  
54 employees on LinkedIn®

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 ![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

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