by Jacob Neubaum | Dec 21, 2018 | Case Studies
The Goal: Sync Data Between MongoDB and RDBMS Via “Apply Deltas” A convenient feature of MongoSluice is its ability to quickly sync changed or new data without doing any additional work such as investigating a schema or rewriting documents. MongoSluice...
by Jacob Neubaum | Dec 21, 2018 | Case Studies
The Goal: Have Options To Improve Speed MongoSluice is great at accurately Sluicing through complex data, but it is important to have a tool that is also built for speed. MongoSluice meets the best of both worlds with its optional feature –Commit Size — which...
by Jacob Neubaum | Dec 21, 2018 | Case Studies
The Problem: How To Migrate MongoDB When A Field Has A Few Different Data Types There are a couple tools out there that try to solve the data migration or syncing between MongoDB and RDBMS. Only MongoSluice can handle that critical issue of varying data types. ...
by Jacob Neubaum | Dec 17, 2018 | Case Studies
The Goal MongoSluice’s power feature is that it can accurately convert data from MongoDB (BSON) to tables — rows and columns — without any manual labor. In order to generate a perfect representation of the data, every single document within a collection needs...
by Jacob Neubaum | Dec 17, 2018 | Case Studies
The Goal MongoSluice’s ultimate goal is to accurately portray NoSQL data from MongoDB in SQL format for simple analysis. In order to generate a perfect representation of the data, every single document within a collection needs to be checked in order to be 100%...
by Jacob Neubaum | Dec 14, 2018 | Case Studies
The Source: Business Service Providers It is an impressive feat for MongoSluice to be able to produce multiple tables that are linked together by foreign and primary keys. But can MongoSluice perform the same when data begins to get more complex? The answer is YES! ...
