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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Dataform vs Oracle Enterprise Manager

Dataform vs Oracle Enterprise Manager

OverviewComparisonAlternatives

Overview

Oracle Enterprise Manager
Oracle Enterprise Manager
Stacks28
Followers37
Votes0
Dataform
Dataform
Stacks818
Followers53
Votes0
GitHub Stars934
Forks188

Dataform vs Oracle Enterprise Manager: What are the differences?

<Write Introduction here>
  1. Dataform vs. Oracle Enterprise Manager: Data Management and Automation Dataform is a data management platform that focuses on orchestrating and automating SQL workflows, scheduled tasks, and data quality checks, making it an ideal tool for data engineers and analysts. On the other hand, Oracle Enterprise Manager is an all-in-one management solution for Oracle databases, offering comprehensive monitoring, administration, and automation capabilities tailored specifically for Oracle database environments.

  2. Dataform vs. Oracle Enterprise Manager: Cloud-Native vs. On-Premises Dataform is cloud-native, meaning it is designed to work seamlessly with cloud data warehouses and storage solutions, providing flexibility, scalability, and accessibility from anywhere with an internet connection. In contrast, Oracle Enterprise Manager is traditionally deployed on-premises, restricting its accessibility to within the organization's network and necessitating additional configurations for cloud deployment.

  3. Dataform vs. Oracle Enterprise Manager: Community and Support Dataform has a strong and active community of data professionals contributing to its development, sharing best practices, and providing support through forums, documentation, and online resources. Conversely, Oracle Enterprise Manager is backed by Oracle's official support channels, offering enterprise-level support agreements, direct technical assistance, and regular updates and patches for Oracle database users.

  4. Dataform vs. Oracle Enterprise Manager: Cost and Licensing Dataform is a subscription-based service with transparent pricing tiers based on usage and storage, catering to small to medium-sized businesses and startups looking for a cost-effective solution for data management and automation. In contrast, Oracle Enterprise Manager requires separate licensing agreements and may incur additional costs for advanced features, add-ons, and support services, making it more suitable for large enterprises with substantial budgets for IT infrastructure.

  5. Dataform vs. Oracle Enterprise Manager: Integration and Ecosystem Dataform integrates seamlessly with popular cloud data warehouses, BI tools, and workflow orchestration platforms, enabling users to build end-to-end data pipelines and analytics workflows with minimal coding and configuration. On the other hand, Oracle Enterprise Manager is tightly integrated with Oracle databases and technologies, offering deep visibility and control over Oracle-specific features, configurations, and performance metrics within the Oracle ecosystem.

  6. Dataform vs. Oracle Enterprise Manager: Scalability and Performance Dataform is designed for horizontal scalability, allowing users to scale their data processing and analytics workloads dynamically based on demand, leveraging cloud resources efficiently and cost-effectively. In contrast, Oracle Enterprise Manager is optimized for managing large Oracle database environments with high availability, fault tolerance, and performance tuning capabilities, providing centralized control and monitoring of critical database systems across the enterprise.

In Summary, Dataform and Oracle Enterprise Manager offer distinct approaches to data management, automation, and monitoring, catering to different user requirements, preferences, and environments in the realm of modern data analytics and database management.

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Detailed Comparison

Oracle Enterprise Manager
Oracle Enterprise Manager
Dataform
Dataform

It provides deep performance visibility and advanced DevOps data operations for large-scale enterprise databases. Discover it can accelerate your adoption of Oracle Autonomous Database.

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

-
Version ontrol; Scheduling; Notifications and logging; Assertions; Web based development environment; Alerting; Incremental tables; Packages; Reusable code snippets; Unit tests; Data tests
Statistics
GitHub Stars
-
GitHub Stars
934
GitHub Forks
-
GitHub Forks
188
Stacks
28
Stacks
818
Followers
37
Followers
53
Votes
0
Votes
0
Integrations
No integrations available
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
GitHub
GitHub
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Git
Git

What are some alternatives to Oracle Enterprise Manager, Dataform?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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