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Average Ratings 0 Ratings
Description
The foundation of creating intelligent systems lies in the database, and Grakn serves as a sophisticated knowledge graph database. It features an incredibly user-friendly and expressive data schema that allows for the definition of hierarchies, hyper-entities, hyper-relations, and rules to establish detailed knowledge models. With its intelligent language, Grakn executes logical inferences on data types, relationships, attributes, and intricate patterns in real-time across distributed and stored data. It also offers built-in distributed analytics algorithms, such as Pregel and MapReduce, which can be accessed using straightforward queries within the language. The system provides a high level of abstraction over low-level patterns, simplifying the expression of complex constructs while optimizing query execution automatically. By utilizing Grakn KGMS and Workbase, enterprises can effectively scale their knowledge graphs. Furthermore, this distributed database is engineered to function efficiently across a network of computers through techniques like partitioning and replication, ensuring seamless scalability and performance.
Description
Introducing a Go entity framework that serves as a robust and straightforward ORM, perfect for both modeling and querying data. This framework offers a simple API that allows developers to represent any database schema as Go objects seamlessly. With the ability to execute queries, perform aggregations, and navigate complex graph structures effortlessly, it stands out for its user-friendly design. The API is entirely statically typed and features an explicit interface through code generation, ensuring clarity and reliability. The latest iteration of the Ent framework introduces a type-safe API that permits ordering based on fields and edges, with plans for this feature to be integrated into its GraphQL capabilities shortly. Additionally, users can easily generate an Entity Relationship Diagram (ERD) of their Ent schema with a single command, enhancing visualization. The framework further simplifies the incorporation of features like logging, tracing, caching, and soft deletion, all achievable with just 20 lines of code. Moreover, Ent supports GraphQL using the 99designs/gqlgen library and offers various integration options. It facilitates the generation of a GraphQL schema for nodes and edges defined within the Ent schema, while also addressing the N+1 problem through efficient field collection, eliminating the need for complex data loaders. This combination of features makes the Ent framework an invaluable tool for developers working with Go.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Docker
No
Go
No
Google Cloud Platform
Yes
GraphQL
No
Homebrew
No
MariaDB
No
MySQL
No
PostgreSQL
No
SQLite
No
Integrations
Amazon Web Services (AWS)
No
Docker
Yes
Go
Yes
Google Cloud Platform
No
GraphQL
Yes
Homebrew
Yes
MariaDB
Yes
MySQL
Yes
PostgreSQL
Yes
SQLite
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Grakn Labs
Founded
2016
Website
grakn.ai/
Vendor Details
Company Name
ent
Country
United States
Website
entgo.io