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Oracle TimesTen VS erwin Data Modeler

Compare Oracle TimesTen VS erwin Data Modeler and see what are their differences

Oracle TimesTen logo Oracle TimesTen

TimesTen is an in-memory, relational database management system with persistence and...

erwin Data Modeler logo erwin Data Modeler

erwin Data Modeler provides a collaborative environment to manage enterprise data though an...
  • Oracle TimesTen Landing page
    Landing page //
    2023-06-17
  • erwin Data Modeler Landing page
    Landing page //
    2021-12-22

Oracle TimesTen features and specs

  • High Performance
    Oracle TimesTen is an in-memory database providing extremely fast data access and transaction processing, which is beneficial for applications that require real-time performance.
  • Low Latency
    Since the database is stored in memory, data retrieval and manipulation are very quick, reducing latency significantly compared to disk-based databases.
  • Scalability
    TimesTen can be easily scaled to handle large volumes of data and transaction loads, supporting hybrid configurations with Oracle Database to extend scalability and reliability.
  • SQL Compatibility
    It supports SQL and PL/SQL, making it easier for developers experienced with Oracle databases to use TimesTen without a steep learning curve.
  • High Availability
    TimesTen offers features like replication and failover for high availability which is crucial for mission-critical applications.
  • Integration with Oracle Ecosystem
    TimesTen integrates well with other tools and products in the Oracle ecosystem, allowing for seamless operations across different Oracle platforms.

Possible disadvantages of Oracle TimesTen

  • Cost
    Oracle TimesTen can be expensive compared to some of its open-source alternatives, making it less attractive for smaller businesses or projects with limited budgets.
  • Hardware Dependency
    Being an in-memory database, it requires machines with large RAM capacities to store substantial datasets, which can be a limiting factor.
  • Complexity
    Setting up and managing TimesTen can be complex, especially when trying to optimize for performance and ensure data consistency across systems.
  • Limited Community Support
    Unlike more popular database systems, the community support for TimesTen is limited, which means troubleshooting and problem-solving might not be as straightforward.
  • Data Volatility
    Since TimesTen stores data in memory, there’s a risk of data loss in the event of power failures, despite having persistence features to mitigate this risk.

erwin Data Modeler features and specs

  • Comprehensive Modeling Features
    erwin Data Modeler supports a wide range of data modeling techniques and methodologies, making it a versatile tool for various types of databases and data architecture needs.
  • Collaborative Environment
    It offers strong collaboration tools, enabling multiple users to work on the same model simultaneously and ensuring seamless communication among team members.
  • Robust Integrations
    erwin integrates with numerous other tools and platforms such as Metadata Management, Business Process Modeling, and Data Governance solutions, enhancing its utility in a broader ecosystem.
  • Automation Capabilities
    The tool provides automation for repetitive tasks, including forward and reverse engineering, which helps in improving efficiency and reducing human error.
  • Comprehensive Reporting
    erwin Data Modeler offers extensive reporting features, allowing users to generate detailed documentation and insights about the data models, which facilitates better decision-making.

Possible disadvantages of erwin Data Modeler

  • Steep Learning Curve
    Due to its vast array of features and functionalities, new users may find it challenging to master the tool, requiring significant time and training.
  • High Cost
    The software can be quite expensive, especially for small businesses or individual users, potentially making it cost-prohibitive without a significant budget.
  • Complex Licensing
    The licensing model for erwin Data Modeler can be complex and difficult to navigate, possibly leading to confusion or misallocation of resources.
  • Resource Intensive
    Being a feature-rich tool, erwin Data Modeler can be resource-intensive and may require robust hardware and IT infrastructure, which could be a limitation for smaller setups.
  • User Interface
    Some users find the user interface to be less intuitive compared to other contemporary data modeling tools, which can slow down the adoption process.

Analysis of erwin Data Modeler

Overall verdict

  • Erwin Data Modeler is widely regarded as a good choice for data modeling.

Why this product is good

  • Erwin Data Modeler is appreciated for its robust features, ease of use, and comprehensive capabilities that support various data modeling techniques. It provides powerful visual data modeling features and supports forward and reverse engineering, enabling users to design logical, physical, and conceptual models efficiently. Its integration with other database solutions and support for various databases make it versatile, while its collaboration features aid in teamwork.

Recommended for

  • Database administrators
  • Data architects
  • Data analysts
  • Organizations that require comprehensive data modeling capabilities
  • Teams that need collaborative data modeling workflows
  • Businesses involved in complex data integration and management projects

Oracle TimesTen videos

My demo of Oracle TimesTen in memory DB with Free Developer Day tools with a VirtualBox VM appliance

erwin Data Modeler videos

ERwin Data Modeler Link Wizard Overview

More videos:

  • Review - Visualizing Data Lineage with CA ERwin Data Modeler and Web Portal

Category Popularity

0-100% (relative to Oracle TimesTen and erwin Data Modeler)
Databases
49 49%
51% 51
MySQL Tools
0 0%
100% 100
Relational Databases
100 100%
0% 0
Network & Admin
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Oracle TimesTen and erwin Data Modeler, you can also consider the following products

Datahike - A durable datalog database adaptable for distribution.

pgModeler - Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

Matisse - Matisse is a post-relational SQL database.

DbSchema - DbSchema - Visual Database Design & Management Tool

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

SAP PowerDesigner - SAP PowerDesigner: Enterprise Architecture tools for digital transformation success