1. AllegroGraph：
AllegroGraph是高性能的持久性RDF存储，并具有对Graph DBMS的附加支持。它用作文档存储，旨在以JSON-LD格式存储，检索和管理面向文档的信息。 AllegroGraph的第一版于2004年发布。
2. Amazon Redshift：
Amazon Redshift是一种有效的解决方案，用于收集和存储您的所有数据，并使您能够对其进行分析。它是与商业智能工具一起使用的大规模数据仓库服务。 Amazon Redshift的功能–快速，简单，经济高效的数据仓库服务。它构成了更大的云计算平台Amazon Web Services的一部分。
AllegroGraph和Amazon Redshift之间的区别：
| S.NO. | AllegroGraph | Amazon Redshift |
|---|---|---|
| 1. | It is developed By Franz Inc. in 2004. | It is developed By Amazon in 2012. |
| 2. | It is high performance, persistent RDF store with additional support for Graph DBMS. | It is large scale data warehouse service for use with business intelligence tools. |
| 3. | It is not available as cloud service | It is available as cloud service |
| 4. | Server operating systems for AllegroGraph are Linux, OS X and Windows. | In Amazon Redshift, Hosted server operating systems. |
| 5. | Its primary database models are Document store, Graph DBMS and RDF store. | Its primary database model is Relational DBMS. |
| 6. | It supports Server-side scripting with JavaScript or Common Lisp. | It supports user-defined functions for Server-side scripting in python. |
| 7. | Partitioning can be done with Federation. | It supports partitioning methods with Sharding. |
| 8. | It uses SPARQL as query language. | It does not fully support SQL-standard. |
| 9. | It supports two replication methods – Master-slave replication and Multi-master replication. | It also supports replication methods. |
| 10. | It offers API for user-defined Map/Reduce methods. | It does not offer API for user-defined Map/Reduce methods. |
| 11. | It does not support In-memory capabilities. | It supports In-memory capabilities. |
| 12. | It does not provide concept of Referential Integrity. Hence, no Foreign Keys. | It provides concept of Referential Integrity. Hence, there are Foreign Keys. |