Data Generator for Oracle vs FastoNoSQL

Need advice about which tool to choose?Ask the StackShare community!

Data Generator for Oracle

0
0
+ 1
0
FastoNoSQL

1
3
+ 1
0
Add tool

FastoNoSQL vs Data Generator for Oracle: What are the differences?

Developers describe FastoNoSQL as "GUI manager for NoSQL databases". It is a cross-platform GUI Manager for Redis, Memcached, SSDB, LevelDB, RocksDB, LMDB, Unqlite, ForestDB, Pika, Dynomite and KeyDB databases(i.e. Admin GUI Client). Our Desktop Client works on the most amount of Linux systems, also on Windows, Mac OS X, FreeBSD and Android platforms. On the other hand, Data Generator for Oracle is detailed as "Generate Large Datasets of Oracle Test Data". It is a small but mighty GUI tool for populating Oracle schemas with tons of realistic test data. With extensive collection of basic and meaningful generators for various data types, flexible customization options, templates for creating your own generators, the tool delivers flawless data generation (including random number generation) in a well-designed user interface.

FastoNoSQL and Data Generator for Oracle can be categorized as "Database" tools.

Some of the features offered by FastoNoSQL are:

  • Multiple Shells
  • Autocompletion
  • Redis Cluster support

On the other hand, Data Generator for Oracle provides the following key features:

  • Full support for essential column data types
  • Flexible data customization
  • Data integrity support
Manage your open source components, licenses, and vulnerabilities
Learn More
No Stats
No Stats
- No public GitHub repository available -

What is Data Generator for Oracle?

It is a small but mighty GUI tool for populating Oracle schemas with tons of realistic test data. With extensive collection of basic and meaningful generators for various data types, flexible customization options, templates for creating your own generators, the tool delivers flawless data generation (including random number generation) in a well-designed user interface.

What is FastoNoSQL?

It is a cross-platform GUI Manager for Redis, Memcached, SSDB, LevelDB, RocksDB, LMDB, Unqlite, ForestDB, Pika, Dynomite and KeyDB databases(i.e. Admin GUI Client). Our Desktop Client works on the most amount of Linux systems, also on Windows, Mac OS X, FreeBSD and Android platforms.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Data Generator for Oracle?
What companies use FastoNoSQL?
    No companies found
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Data Generator for Oracle?
    What tools integrate with FastoNoSQL?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Data Generator for Oracle and FastoNoSQL?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives