Software Alternatives, Accelerators & Startups

DynamoDB VS Oracle Berkeley DB

Compare DynamoDB VS Oracle Berkeley DB and see what are their differences

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 Berkeley DB logo Oracle Berkeley DB

Oracle Berkeley DB is an extensive embedded key-value database library that is providing support with scalability in performance for data management services and applications.
  • DynamoDB Landing page
    Landing page //
    2023-03-18
  • Oracle Berkeley DB Landing page
    Landing page //
    2023-10-13

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 Berkeley DB features and specs

No features have been listed yet.

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?

Oracle Berkeley DB videos

No Oracle Berkeley DB videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to DynamoDB and Oracle Berkeley DB)
Databases
100 100%
0% 0
File Management
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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Reviews

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

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

Oracle Berkeley DB Reviews

We have no reviews of Oracle Berkeley DB yet.
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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.

DynamoDB mentions (120)

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Oracle Berkeley DB mentions (0)

We have not tracked any mentions of Oracle Berkeley DB yet. Tracking of Oracle Berkeley DB recommendations started around Jul 2021.

What are some alternatives?

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

AWS Lambda - Automatic, event-driven compute service

solidDB - Relational Databases

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

VistaDB - VistaDB is an all-in-one embedded database software for.Net that is completely compliant with ADO.NET providing support for the entity framework.

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

EXtremeDB - EXtremeDB is an extensive database management software that is creating an impact via extracting the actionable data for the predictive insight that, in turn, values the entire infrastructure.