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Description
Create adaptable, decentralized systems that can utilize the complete history of your vital data rather than just its latest version. You can either build these systems on your current infrastructure or opt to transition directly to cloud solutions. Gaining critical insights requires understanding the entire narrative of your data, not merely its most recent status. Datomic maintains a repository of unchangeable facts, offering your applications a robust consistency while facilitating horizontal read scalability along with integrated caching features. Since facts are never modified directly and all data is preserved by default, you benefit from inherent auditing capabilities and the option to query historical information. Additionally, this system supports fully ACID-compliant transactions. The information model of Datomic is designed to accommodate a diverse range of use cases. With the Datomic Peer library, you can disseminate immutable data across your application nodes, ensuring in-memory access to your information. Alternatively, leverage the client library to establish lightweight nodes tailored for microservice architectures, enabling seamless integration and enhanced performance. By utilizing these capabilities, you can achieve a comprehensive understanding of your data landscape.
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.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Amazon DynamoDB
Apache Cassandra
Google Cloud Platform
Oracle Database
Integrations
Amazon Web Services (AWS)
Amazon DynamoDB
Apache Cassandra
Google Cloud Platform
Oracle Database
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Datomic
Founded
2016
Country
United States
Website
www.datomic.com
Vendor Details
Company Name
Grakn Labs
Founded
2016
Website
grakn.ai/