MongoDBPumper for Oracle and MongoDB
MongoDBPumper for Oracle and MongoDB
Free to try
spViewer Software
Windows 98/Me/NT/2000/XP/2003/Vista/Server 2008/7/8
Version 2.0.72
Full Specs
Publisher's Description
From spViewer Software:
MongoDBPumper for MongoDB and Oracle is an innovative, powerful and convenient product which is a part of our BigData migration suite. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB collections. You can create your custom data transformations on the fly and import several Oracle based data sources (based on your custom complex SQLs) to MongoDB database collections in parallel. All main Oracle data types (including XML, CLOB and BLOB) are supported for data migration to MongoDB and back. You are able also to view and manage MongoDB collections data and export it to a readable JSON file format. The data migration process can be parallelized up to 20 degrees providing a very high migration performance of big amounts of data.
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Publisher's Description
From spViewer Software:
MongoDBPumper for MongoDB and Oracle is an innovative, powerful and convenient product which is a part of our BigData migration suite. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB collections. You can create your custom data transformations on the fly and import several Oracle based data sources (based on your custom complex SQLs) to MongoDB database collections in parallel. All main Oracle data types (including XML, CLOB and BLOB) are supported for data migration to MongoDB and back. You are able also to view and manage MongoDB collections data and export it to a readable JSON file format. The data migration process can be parallelized up to 20 degrees providing a very high migration performance of big amounts of data.