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OceanBase VS Azure Databricks

Compare OceanBase VS Azure Databricks and see what are their differences

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  4. » Alternatives

OceanBase logo OceanBase

Unlimited scalable distributed database for data intensive transaction & real-time operational analytics workload, with ultra fast performance of maintaining the world record of both TPC-C and TPC-H benchmark tests.

Azure Databricks logo Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
Not present

OceanBase Database is a distributed relational database. It is developed entirely by Ant Group. The OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, the OceanBase Database provides high availability and linear scalability. The OceanBase Database is not dependent on specific hardware architectures.

  • Azure Databricks Landing page
    Landing page //
    2023-04-02

OceanBase features and specs

  • Transparent Scalability
    1,500 nodes, PB data and a trillion rows of records in one cluster.
  • Ultra-fast Performance
    TPC-C 707 million tmpC and TPC-H 15.26 million QphH @30000GB.
  • Cost Efficiency
    saves 70%–90% of storage costs.
  • Real-time Analytics
    supports HTAP without additional cost.
  • Continuous Availability
    RPO = 0(zero data loss) and RTO < 8s(recovery time).
  • MySQL Compatible
    easily migrated from MySQL database.

Azure Databricks features and specs

  • Scalability
    Azure Databricks enables easy scaling of workloads up or down, allowing users to handle large volumes of data and perform distributed processing efficiently.
  • Integration
    Seamlessly integrates with other Azure services, such as Azure Data Lake Storage and Azure SQL Data Warehouse, facilitating a streamlined data pipeline.
  • Collaboration
    Offers collaborative features like notebooks that allow multiple users to work together easily on data analytics projects.
  • Performance Optimization
    Built on top of Apache Spark, Azure Databricks provides high performance and optimized execution for data engineering and machine learning tasks.
  • Managed Service
    As a fully managed service, it handles infrastructure provisioning and maintenance, enabling users to focus on data insights rather than backend management.

Possible disadvantages of Azure Databricks

  • Cost
    Azure Databricks can be expensive, particularly for large-scale and long-running workloads, which may be a concern for budget-conscious organizations.
  • Complexity
    Despite its capabilities, Azure Databricks may have a steep learning curve, especially for users not familiar with Apache Spark.
  • Vendor Lock-in
    Leveraging Azure-specific services can lead to vendor lock-in, making it challenging to migrate workloads and data to other cloud platforms.
  • Limited Offline Capabilities
    As a cloud-native service, it requires an active internet connection and might not suit scenarios that require offline processing.
  • Compliance Concerns
    Due to Azure Databricks' integration with Azure, users need to carefully manage compliance and data governance, which might be complex in multi-regional deployments.

OceanBase videos

+ Add

Architecture Insight of OceanBase: A Distributed SQL Database (Charlie Yang)

Azure Databricks videos

+ Add

Azure Databricks is Easier Than You Think

More videos:

  • Review - Ingest, prepare &amp; transform using Azure Databricks &amp; Data Factory | Azure Friday
  • Review - Azure Databricks - What&#39;s new! | DB102

Category Popularity

0-100% (relative to OceanBase and Azure Databricks)

OceanBase

Azure Databricks

Databases
100 100%
Databases
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Office & Productivity
0 0%
Office & Productivity
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 OceanBase and Azure Databricks

OceanBase Reviews

We have no reviews of OceanBase yet.
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Azure Databricks Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Azure Databricks seems to be more popular. It has been mentiond 2 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.

OceanBase mentions (0)

We have not tracked any mentions of OceanBase yet. Tracking of OceanBase recommendations started around Jun 2024.

Azure Databricks mentions (2)

  • Top 30 Microsoft Azure Services
    In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 4 years ago
  • ZooKeeper-free Kafka is out. First Demo
    https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / about 4 years ago

What are some alternatives?

When comparing OceanBase and Azure Databricks, you can also consider the following products

MySQL - The world's most popular open source database

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

TiDB - A distributed NewSQL database compatible with MySQL protocol

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

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