AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more). 
 
AsterixDB can exploit its knowledge of data partitioning and the availability of indexes to avoid always scanning data set(s) to process queries

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more). 

AsterixDB -  Big Data Management System (BDMS)

ToroDB helps to transform your NoSQL data from a MongoDB replica set into a relational database in PostgreSQL. There are other solutions that are able to store the JSON document in a relational table using PostgreSQL JSON support, but it doesn't solve the real problem of 'how to really use that data'. ToroDB Stampede replicates the document structure in different relational tables and stores the document data in different tuples using those tables.
 
MongoDB is a great idea, but sooner or later some kind of business intelligence, or complex aggregated queries are required. At this point MongoDB is not so powerful and ToroDB Stampede borns to solve that problem.

ToroDB helps to transform your NoSQL data from a MongoDB replica set into a relational database in PostgreSQL. There are other solutions that are able to store the JSON document in a relational table using PostgreSQL JSON support, but it doesn't solve the real problem of 'how to really use that data'. ToroDB Stampede replicates the document structure in different relational tables and stores the document data in different tuples using those tables.


ToroDB Stampede - Provides better analytics on top of MongoDB and make it easier to migrate from MongoDB to SQL 

Bagri is a Document Database built on top of distributed cache solution like Hazelcast or Coherence. The system allows to process semi-structured schema-less documents and perform distributed queries on them in real-time. It scales horizontally very well with use of data sharding, when all documents are distributed evenly between distributed cache partitions. 
 
Started as a Native XML DB initially, the system has grown to process any kind of documents with self-describing data format (JSON, for instance) via pluggable parsers API. As a schema-free solution Bagri does not require any meta-data change when processing document formats evolve. An internal XQuery engine used for data querying and transformation provides exceeding flexibility in data processing tasks based on solid foundation of XQuery standards. The XQuery language is still evolving rapidly in answer to market demands which makes it the best candidate for all-in-one tool for processing of any volumes of semi-structured data.

Bagri is a Document Database built on top of distributed cache solution like Hazelcast or Coherence. The system allows to process semi-structured schema-less documents and perform distributed queries on them in real-time. It scales horizontally very well with use of data sharding, when all documents are distributed evenly between distributed cache partitions. 

Bagri -  XML/Document DB on top of distributed cache

Eclipse JNoSQL is a Java framework that streamlines the integration of Java applications with NoSQL databases. It defines a set of APIs and provides a standard implementation for most NoSQL databases. This clearly helps to achieve very low coupling with the underlying NoSQL technologies used in applications.
 
It provide a set of APIs that defines communication with NoSQL databases. Compared with traditional the RDBMS world, they are like the JDBC API. It contains four modules, one for each NoSQL database type: Key-Value, Column Family, Document, and Graph.

Eclipse JNoSQL is a Java framework that streamlines the integration of Java applications with NoSQL databases. It defines a set of APIs and provides a standard implementation for most NoSQL databases. This clearly helps to achieve very low coupling with the underlying NoSQL technologies used in applications.

Eclipse JNoSQL - Framework which has the goal to help Java developers to create Jakarta EE applications with NoSQL

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AsterixDB - Big Data Management System (BDMS)

ToroDB Stampede - Provides better analytics on top of MongoDB and make it easier to migrate from MongoDB to SQL

Bagri - XML/Document DB on top of distributed cache

Eclipse JNoSQL - Framework which has the goal to help Java developers to create Jakarta EE applications with NoSQL

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AsterixDB - Big Data Management System (BDMS)

ToroDB Stampede - Provides better analytics on top of MongoDB and make it easier to migrate from MongoDB to SQL

Bagri - XML/Document DB on top of distributed cache

Eclipse JNoSQL - Framework which has the goal to help Java developers to create Jakarta EE applications with NoSQL

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