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Matillion VS Databricks

Compare Matillion VS Databricks and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Matillion logo Matillion

Matillion is a cloud-based data integration software.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Matillion Landing page
    Landing page //
    2023-08-06
  • Databricks Landing page
    Landing page //
    2023-09-14

Matillion features and specs

  • User-Friendly Interface
    Matillion offers an intuitive drag-and-drop interface, which makes it easier for users to design and manage ETL workflows without extensive coding knowledge.
  • Cloud-Native
    Built for cloud data warehouses like AWS Redshift, Google BigQuery, and Snowflake, Matillion leverages cloud-native features for scalability and performance.
  • Pre-Built Integrations
    The platform comes with a wide range of pre-built connectors, allowing seamless integration with many data sources and reducing the need for custom coding.
  • Scalability
    Matillion's architecture is designed to easily scale with the workload, meaning businesses can comfortably grow their ETL processes without facing significant performance degradation.
  • Scheduling and Orchestration
    Matillion offers comprehensive scheduling and orchestration options, allowing users to automate data workflows, which increases efficiency and consistency.
  • Real-Time Data Processing
    Supports real-time data ingestion and processing, which is crucial for businesses that need up-to-date analytics.

Possible disadvantages of Matillion

  • Pricing
    The cost can be relatively high, especially for smaller organizations or startups. The pricing model might not be as cost-effective for those who have lower data volumes.
  • Learning Curve
    While the interface is user-friendly, there is still a learning curve associated with mastering the platform's full capabilities, especially for complex transformations.
  • Feature Gaps
    Some advanced features and customizations may be lacking compared to more established ETL tools, which may limit its use for very specific needs.
  • Cloud Dependence
    Since Matillion is designed specifically for cloud-based data warehouses, it may not be the best fit for organizations that still rely heavily on on-premises data solutions.
  • Limited Version Control
    Matillion has limited version control capabilities, which can pose challenges for teams who require robust versioning and auditing of their ETL processes.
  • Resource Intensive
    The platform can be resource-intensive, potentially requiring a significant amount of computational power and memory, which can drive up operational costs.

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.

Analysis of Matillion

Overall verdict

  • Generally, Matillion is considered a good choice for organizations that require an agile and efficient data transformation tool in cloud environments, such as AWS, Google Cloud, and Azure. Its combination of simplicity and powerful features appeals to a range of users, from small businesses to large enterprises.

Why this product is good

  • Matillion is an ETL (Extract, Transform, Load) platform designed for cloud data warehousing. It is particularly known for its ease of use, integration capabilities, and performance in data transformation processes. Users appreciate its intuitive interface, which allows for code-free data orchestration and transformation, making it accessible for non-technical users while still offering powerful functionality for advanced users.

Recommended for

  • Businesses looking to implement seamless data integration and transformation in cloud data platforms.
  • Data teams that prefer a visual interface for building ETL pipelines without deep coding expertise.
  • Organizations seeking a scalable solution that accommodates growing data management needs.

Matillion videos

+ Add

Introducing Matillion ETL for Amazon Redshift | Available on AWS Marketplace

More videos:

  • Review - Thrive Market - "Able to Deliver Better Value and Service" | Matillion ETL for Amazon Redshift
  • Review - Introducing Matillion ETL for Snowflake | Available on Azure, AWS and GCP Marketplaces

Databricks videos

+ Add

Introduction to Databricks

More videos:

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

Category Popularity

0-100% (relative to Matillion and Databricks)

Matillion

Databricks

Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
ETL
100 100%
ETL
0% 0
Big Data Analytics
0 0%
Big Data Analytics
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 Matillion and Databricks

Matillion Reviews

Best ETL Tools: A Curated List
Matillion is a comprehensive ETL tool initially developed as an on-premises solution before cloud data warehouses gained prominence. Today, while Matillion retains its strong focus on on-premises deployments, it has also expanded to work effectively with cloud platforms like Snowflake, Amazon Redshift, and Google BigQuery. The company has introduced the Matillion Data...
Source: estuary.dev
Top 11 Fivetran Alternatives for 2024
Matillion ETL is a mature on-premises ETL platform made for cloud data platforms such as Snowflake, Amazon Redshift, and Google BigQuery. It combines many features to extract, transform, and load (ETL) data. The Matillion Data Productivity Cloud offering consists of a Hub for administration and billing, a choice of working with Matillion ETL deployed as “private cloud” or...
Source: estuary.dev
15+ Best Cloud ETL Tools
Part of the Matillion Data Productivity Cloud, Matillion ETL is a tool designed for efficient data handling and preparation. It offers a streamlined approach to data operations and allows for quick and effective data integration and transformation.
Source: estuary.dev
Top 14 ETL Tools for 2023
Unfortunately, Matillion suffers from a similar drawback as Striim does: the number of possible SaaS sources in Matillion is lacking compared to other options on this list. In addition, a reviewer on G2 (where Matillion has 4.4 out of 5 stars) mentions that “the pricing model is difficult for light-usage clients. It is charged based on the time the virtual machine is turned...
Source: www.integrate.io
Top 10 Fivetran Alternatives - Listing the best ETL tools
‍Matillion is a well-established data processing engine that offers advanced ETL/ELT and data transformation processes for larger enterprises.
Source: weld.app

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

Social recommendations and mentions

Based on our record, Databricks seems to be a lot more popular than Matillion. While we know about 18 links to Databricks, we've tracked only 1 mention of Matillion. 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.

Matillion mentions (1)

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 / about 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

What are some alternatives?

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

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

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

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

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.

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

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.

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