A Virtual Database between MongoDB, ElasticSearch, and MarkLogic

A Virtual Database between MongoDB, ElasticSearch, and MarkLogic by William Candillon.

From the post:

Virtual Databases enable developers to write applications regardless of the underlying database technologies. We recently updated a database infrastructure from MongoDB and ElasticSearch to MarkLogic without touching the codebase.

We just flipped a switch. We updated the database infrastructure of an application (20k LOC) from MongoDB and Elasticsearch to MarkLogic without changing a single line of code.

Earlier this year, we published a tutorial that shows how the 28msec query technology can enable developers to write applications regardless of the underlying database technology. Recently, we had the opportunity to put it to the test on both a real world use case and a substantial codebase.

At 28msec, we have designed1 and implemented2 an open source modern data warehouse called CellStore. Whereas traditional data warehousing solutions can only support hundreds of fixed dimensions and thus need to ETL the data to analyze, cell stores support an unbounded number of dimensions. Our implementation of the cell store paradigm is around 20k lines of JSONiq queries. Originally the implementation was running on top of MongoDB and Elasticsearch.
….

1. http://arxiv.org/pdf/1410.0600.pdf
2. http://github.com/28msec/cellstore

Impressive work and it merits a separate post on the underlying technology, CellStore.

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