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Databricks Unified Analytics Platform VS SymmetricDS

Compare Databricks Unified Analytics Platform VS SymmetricDS and see what are their differences

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  4. » Alternatives

Databricks Unified Analytics Platform logo Databricks Unified Analytics Platform

One platform for accelerating data-driven innovation across data engineering, data science & business analytics

SymmetricDS logo SymmetricDS

SymmetricDS is an asynchronous database replication software package that supports multiple subscribers and bi-directional synchronization.
  • Databricks Unified Analytics Platform Landing page
    Landing page //
    2023-07-11
  • SymmetricDS Landing page
    Landing page //
    2021-09-13

Databricks Unified Analytics Platform features and specs

  • Scalability
    Databricks is built on Apache Spark, which allows for easy scaling of data processing and analytics operations across large datasets.
  • Integrated Environment
    Provides a unified analytics platform that combines data engineering, data science, and data warehouse capabilities, simplifying workflows.
  • Collaborative Workspace
    Enables collaboration between data engineers, data scientists, and analysts with its interactive notebooks and real-time collaboration features.
  • Lakehouse Architecture
    Combines the best features of data lakes and data warehouses, providing structured transactional data access over unstructured data.
  • Support for Multiple Languages
    Offers support for multiple programming languages such as Python, R, SQL, and Scala, making it versatile for different users.

Possible disadvantages of Databricks Unified Analytics Platform

  • Complexity
    Despite its powerful features, the platform can be complex to set up and manage, particularly for teams unfamiliar with similar environments.
  • Cost
    The platform can become expensive, especially when scaling operations and running large workloads continuously.
  • Learning Curve
    New users might face a steep learning curve, requiring training and practice to use the platform effectively.
  • Vendor Lock-In
    Using proprietary tools and integrations could lead to dependency on Databricks, making it harder to switch to other solutions in the future.
  • Limited Offline Features
    As a cloud-native platform, Databricks relies heavily on internet connectivity, lacking robust offline features for some use cases.

SymmetricDS features and specs

  • Cross-platform compatibility
    SymmetricDS supports multiple databases and operating systems, making it a versatile choice for diverse environments.
  • Real-time data synchronization
    It provides near real-time data synchronization between databases, ensuring data is consistently up-to-date across all nodes.
  • Flexible topology support
    The software allows for various deployment topologies, including hub-and-spoke, star, and bi-directional configurations.
  • Open-source
    Being open-source, it offers a cost-effective solution with the ability to customize and integrate according to specific needs.
  • Comprehensive feature set
    SymmetricDS includes features like conflict resolution, data transformation, and filtering, which enhance its data integration capabilities.
  • Large community support
    The tool has a well-established user community and active forums, providing a wealth of shared knowledge and support.

Possible disadvantages of SymmetricDS

  • Complex configuration
    Setting up and managing SymmetricDS can be complicated, especially for users new to data synchronization or unfamiliar with its configuration.
  • Performance overhead
    The synchronization process can introduce performance overhead, potentially impacting system performance, especially with large volumes of data.
  • Limited enterprise features
    While feature-rich, it may lack some advanced enterprise features found in commercial alternatives, which could be a limitation for large-scale deployments.
  • Learning curve
    Due to its comprehensive functionality, there can be a significant learning curve to understand and effectively use all the features.
  • Potential for data conflicts
    Handling data conflicts can be challenging, and incorrect configurations might lead to data consistency issues.
  • Less frequent updates
    Compared to commercial products, updates and new features may be less frequent, which could hamper long-term planning and development.

Databricks Unified Analytics Platform videos

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SymmetricDS videos

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SymmetricDS Lab Part1: Lab Overview

Category Popularity

0-100% (relative to Databricks Unified Analytics Platform and SymmetricDS)

Databricks Unified Analytics Platform

SymmetricDS

Office & Productivity
100 100%
Office & Productivity
0% 0
Data Integration
0 0%
Data Integration
100% 100
Development
100 100%
Development
0% 0
Web Service Automation
0 0%
Web Service Automation
100% 100

User comments

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Social recommendations and mentions

SymmetricDS might be a bit more popular than Databricks Unified Analytics Platform. We know about 1 link to it since March 2021 and only 1 link to Databricks Unified Analytics Platform. 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 Unified Analytics Platform mentions (1)

  • Should I replicate all our transactional DB to Redshift?
    See more here: https://databricks.com/product/data-lakehouse. Source: about 3 years ago

SymmetricDS mentions (1)

  • Show HN: PowerSync – Bi-directional Postgres<>SQLite sync for offline-first apps
    Let me throw SymmetricDS into the ring: https://symmetricds.org/ In my opinion it is quite underestimated giving its various cross platform and cross product sync capabilities. My first experiences with it are quite promising. - Source: Hacker News / over 1 year ago

What are some alternatives?

When comparing Databricks Unified Analytics Platform and SymmetricDS, you can also consider the following products

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

DBConvert Studio - Database migration/ sync software for data conversion and replication.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

DBConvert for Excel and MySQL - Database migration tool for Excel to MySQL.

Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.

Full Convert - Full Convert is industry standard for database migration. Supports 40 database formats and offers unparalleled speed and customization.

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