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Databricks VS Oracle DBaaS

Compare Databricks VS Oracle DBaaS and see what are their differences

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  3. » Reviews
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Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Oracle DBaaS logo Oracle DBaaS

See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Oracle DBaaS Landing page
    Landing page //
    2023-10-19

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

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.

Databricks videos

+ Add

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Oracle DBaaS videos

+ Add

Oracle DBaaS - Database Cloud Service - English

Category Popularity

0-100% (relative to Databricks and Oracle DBaaS)

Databricks

Oracle DBaaS

Data Dashboard
100 100%
Data Dashboard
0% 0
Databases
0 0%
Databases
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

Share your experience with using Databricks and Oracle DBaaS. For example, how are they different and which one is better?
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Reviews

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

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.
Source: blog.bismart.com

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

Social recommendations and mentions

Based on our record, Databricks seems to be more popular. It has been mentiond 18 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.

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 8 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 3 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

Oracle DBaaS mentions (0)

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

What are some alternatives?

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

MySQL - The world's most popular open source database

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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.

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