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Oracle DBaaS VS DynamoDB

Compare Oracle DBaaS VS DynamoDB and see what are their differences

Oracle DBaaS logo Oracle DBaaS

See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

DynamoDB logo DynamoDB

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.
  • Oracle DBaaS Landing page
    Landing page //
    2023-10-19
  • DynamoDB Landing page
    Landing page //
    2023-03-18

Oracle DBaaS features and specs

  • Scalability
    Oracle DBaaS offers robust scalability options, allowing you to scale resources up or down based on demand, ensuring you only pay for what you use.
  • High Availability
    Built-in redundancy and data replication features ensure high availability and reliability, minimizing downtime and disaster recovery times.
  • Security
    Advanced security features such as data encryption, user access controls, and regular security patches help protect sensitive information.
  • Performance
    Optimized for high performance with Oracle’s proprietary technologies, enabling fast query processing and efficient handling of large datasets.
  • Integrated Suite
    Seamless integration with other Oracle Cloud services and applications provides a cohesive ecosystem for various business needs.
  • Automated Management
    Automated database maintenance tasks such as backups, updates, and patching reduce administrative overhead and human error.
  • Global Reach
    Multiple data center locations worldwide ensure low latency and compliance with local data regulations.

Possible disadvantages of Oracle DBaaS

  • Cost
    Oracle DBaaS can be relatively expensive compared to some other DBaaS offerings, making it less suitable for small businesses or startups with limited budgets.
  • Complexity
    The rich set of features and configuration options can be overwhelming for users who are not familiar with Oracle databases, potentially requiring a steep learning curve.
  • Vendor Lock-in
    Users may find it challenging to migrate to another DBaaS provider due to the proprietary nature of Oracle’s technologies and potential data portability issues.
  • Customization Limitations
    Some limitations on customization and configuration might exist compared to a fully self-managed on-premises Oracle database.
  • Support
    While Oracle offers comprehensive support, some users report that enterprise-level support can be slow or less responsive compared to expectations.
  • Resource Management
    Managing resources effectively to avoid unnecessary costs can be challenging, requiring careful planning and monitoring.

DynamoDB features and specs

  • Scalability
    DynamoDB automatically scales up and down to handle your application's needs, with no intervention required. This allows for easy handling of traffic spikes and growth over time.
  • Performance
    With its fast, predictable performance at any scale, DynamoDB ensures low-latency responses, even with large volumes of data.
  • Fully Managed
    As a fully managed service, DynamoDB handles hardware provisioning, setup, configuration, replication, software patching, and backups, letting you focus on your application.
  • Flexible Data Model
    DynamoDB supports both document and key-value store models, providing flexibility in how you structure your data.
  • Security
    DynamoDB integrates with AWS Identity and Access Management (IAM) to provide fine-grained access control and encrypts data at rest and in transit.
  • Global Tables
    You can create multi-region, fully replicated tables for high availability and globally distributed apps with low latency reads and writes.
  • Event-Driven Architecture
    DynamoDB integrates with AWS Lambda for automatic triggering and the creation of event-driven architectures.

Possible disadvantages of DynamoDB

  • Pricing Complexity
    DynamoDB's pricing model, which charges based on read and write capacity units, storage, and data transfer, can be complex and difficult to predict.
  • Limited Query Capabilities
    DynamoDB does not support complex queries as well as traditional SQL databases. Querying capabilities are limited primarily to primary key attributes.
  • Secondary Indexes
    While DynamoDB supports secondary indexes, their use can be limited and complex to manage effectively compared to relational databases.
  • Consistency
    DynamoDB offers eventual consistency by default. While strongly consistent reads are available, they can be more expensive and slower.
  • Data Size Limitations
    Each item in a DynamoDB table must be 400KB or less, limiting the amount of data you can store in a single item.
  • Vendor Lock-In
    Using DynamoDB heavily ties your application to AWS, which can be a downside if you want to maintain flexibility in your cloud infrastructure choices.

Oracle DBaaS videos

Oracle DBaaS - Database Cloud Service - English

DynamoDB videos

#13 - Amazon DynamoDB Basics In Under 5 Minutes [Tutorial For Beginners]

More videos:

  • Review - AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)
  • Review - What is Amazon DynamoDB?

Category Popularity

0-100% (relative to Oracle DBaaS and DynamoDB)
Databases
49 49%
51% 51
Relational Databases
100 100%
0% 0
NoSQL Databases
51 51%
49% 49
Tool
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Oracle DBaaS and DynamoDB

Oracle DBaaS Reviews

10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com

DynamoDB Reviews

Top 5 Dynobase alternatives you should know about - March 2025 Review
Dynomate offers a comprehensive solution with native AWS SSO support, advanced multi-tab functionality, and Git-based collaboration features. NoSQL Workbench is a valuable free tool from AWS, excellent for designing and visualizing data models. The JetBrains DynamoDB Plugin brings DynamoDB into your IDE with helpful autocomplete and query-saving features.
Source: www.dynomate.io
9 Best MongoDB alternatives in 2019
Amazon DynamoDB is a nonrelational database. This database system provides consistent latency and offers built-in security, and in-memory caching. DynamoDB is a serverless database which scales automatically and backs up your data for protection
Source: www.guru99.com

Social recommendations and mentions

Based on our record, DynamoDB seems to be more popular. It has been mentiond 120 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Oracle DBaaS mentions (0)

We have not tracked any mentions of Oracle DBaaS yet. Tracking of Oracle DBaaS recommendations started around Mar 2021.

DynamoDB mentions (120)

View more

What are some alternatives?

When comparing Oracle DBaaS and DynamoDB, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

AWS Lambda - Automatic, event-driven compute service

MySQL - The world's most popular open source database

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.