Software Alternatives, Accelerators & Startups
Register | Login

Databricks VS Synapse

Compare Databricks VS Synapse and see what are their differences

WorkProcedures
Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Databricks logo Databricks

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

Synapse logo Synapse

Synapse is a semantic launcher written in Vala that you can use to start applications as well as find and access relevant documents and files by making use of the Zeitgeist engine.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Synapse Landing page
    Landing page //
    2023-09-17

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.

Synapse features and specs

  • Open Source
    Synapse is an open-source project, which means that it is free to use, modify, and distribute. This allows for community contributions and transparency in development.
  • Lightweight
    Synapse is designed to be lightweight and fast, which ensures that it does not consume excessive system resources, making it suitable for a wide range of hardware configurations.
  • Customizable
    Users can customize Synapse through plugins and scripts, allowing for personalized workflows and extended functionality tailored to individual needs.
  • Cross-Platform
    Synapse is cross-platform and can be used on various operating systems, providing flexibility and consistency for users who work in multi-OS environments.
  • Efficient Search
    Synapse offers efficient search capabilities, allowing users to quickly find and launch applications, files, and perform other tasks through a convenient interface.

Possible disadvantages of Synapse

  • Learning Curve
    New users may find it difficult to familiarize themselves with Synapse's features and customization options, leading to an initial learning curve.
  • Limited Documentation
    Although active, Synapse's documentation can be somewhat limited or fragmented, making it difficult for some users to find comprehensive guides and support.
  • Occasional Bugs
    As with many open-source projects, users may encounter occasional bugs or stability issues, which can affect the user experience until they are resolved.
  • Community Dependency
    Development and support largely depend on community contributions and volunteers, which can lead to slower resolution of issues and less predictable updates.
  • Less Integration
    Compared to some proprietary alternatives, Synapse may offer fewer integration options with other applications and services, limiting its functionality for some users.

Analysis of Synapse

Overall verdict

  • Synapse is a well-regarded application among Linux users due to its speed and functionality. It is considered a good choice if you are seeking a fast, lightweight, and extensible application launcher.

Why this product is good

  • Synapse, available on launchpad.net, is a semantic launcher for Linux. It is favored for its simplicity and efficiency in launching applications, finding files, and executing commands. Synapse enhances productivity by using plugins to quickly locate and open items on your system without needing to navigate menus or folders manually. Its lightweight design ensures minimal system resource usage, making it a good tool for older hardware as well.

Recommended for

    Synapse is particularly recommended for Linux users who value speed and efficiency in workflow management. It is an excellent choice for those running older systems or anyone looking to simplify their desktop environment by reducing the time spent navigating through traditional application menus.

Databricks videos

+ Add

Introduction to Databricks

More videos:

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

Synapse videos

+ Add

Cannondale Synapse Hi-Mod Disc Red eTap | Review | Cycling Weekly

More videos:

  • Review - Cannondale Synapse Review - Endurance Road Bike
  • Review - CANNONDALE SYNAPSE REVIEW (AFTER 9 MONTHS!)

Category Popularity

0-100% (relative to Databricks and Synapse)

Databricks

Synapse

Data Dashboard
100 100%
Data Dashboard
0% 0
App Launcher
0 0%
App Launcher
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0
Windows Tools
0 0%
Windows Tools
100% 100

User comments

Share your experience with using Databricks and Synapse. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Synapse Reviews

Top Big Data Tools For 2021
Azure is a cloud computing platform that serves as a basis for many data solutions. As explained previously in another post on this blog, Synapse Analytics is a rebranded version of the Azure SQL Data Warehouse. Among the improvements included in the new version, it is worth noting that now it integrates with Apache Spark and makes it possible to combine data warehousing and...
Source: blog.bismart.com

Social recommendations and mentions

Based on our record, Databricks seems to be a lot more popular than Synapse. While we know about 18 links to Databricks, we've tracked only 1 mention of Synapse. 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 / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™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: over 3 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 4 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 / about 4 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 / over 4 years ago
View more

Synapse mentions (1)

  • Opportunistic, pragmatic Pop!
    Ditch Cosmic's launcher. It is underpowered. The best launcher to this day is still Synapse, even though it is not in active development anymore. It still has great potential and could easily be extended to really fit into Pop while providing some new functions nothing else has. Source: over 4 years ago

What are some alternatives?

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

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

DockbarX - DockbarX is a standalone dock that groups and launches applications.

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.

Gnome Do - Simple, sleek, swift, smart. Do. GNOME Do allows you to quickly search for many items present on your desktop or the web, and perform useful actions on those items. GNOME Do is inspired by Quicksilver & GNOME Launch Box.

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

Gnome-Pie - Gnome-Pie is a circular application launcher for Linux.

Loading...