Used CouchDBPumper for Oracle and Apache CouchDB for Windows?


Editors’ Review

Download.com staff
CouchDBPumper simplifies bidirectional data migration between Oracle and CouchDB. Its intuitive GUI and advanced features ensure efficient and powerful data transfers, supporting various data types and parallel processing.
  • Pros

    • High-performance data migration between Oracle and CouchDB.
    • Supports bidirectional migration in two directions.
    • GUI wizard for easy data migration tasks.
    • Custom on-the-fly data transformations.
    • Parallel migration up to 20 degrees for large datasets.
  • Cons

    • Migration suite is the primary context.
    • Complex SQLs are required for some sources.
    • Export format is limited to readable JSON files.

Used CouchDBPumper for Oracle and Apache CouchDB for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
2.0.72
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows ME
  • Windows Server
  • Windows Vista
  • Windows 2003
  • Windows 98
  • Windows 7
  • Windows NT
  • Windows 10
  • Windows XP
  • Windows 8
  • Windows 2000
Additional Requirements
None
POPULARITY
Total Downloads
326
Downloads Last Week
0

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Developer’s Description

Migrate data between Oracle and Apache CouchDB databases.
CouchDBPumper for Apache CouchDB 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 CouchDB databases in two directions. With CouchDBPumper GUI wizard you can easily perform data migration between Oracle table and CouchDB databases. You can create your custom data transformations on the fly and import several Oracle based data sources (based on your custom complex SQLs) to CouchDB databases in parallel. All main Oracle data types (including XML, CLOB and BLOB) are supported for data migration to CouchDB and back. You are able also to view and manage CouchDB databases 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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