Databricks vs Toasted Analytics

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Databricks

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Toasted Analytics

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Databricks vs Toasted Analytics: What are the differences?

Developers describe Databricks as "A unified analytics platform, powered by Apache Spark". Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications. On the other hand, Toasted Analytics is detailed as "Simple, privacy-friendly website analytics and event tracking". Simple, privacy-friendly website analytics and event tracking that everyone can understand We're GDPR, PECR & CCPA compliant and we do not use cookies or collect any personal information, so there is not need to add annoying banners. Toasted Analytics is not blocked by ad-blocking extensions so it collects more precise data than Google Analytics..

Databricks and Toasted Analytics can be primarily classified as "General Analytics" tools.

Some of the features offered by Databricks are:

  • Built on Apache Spark and optimized for performance
  • Reliable and Performant Data Lakes
  • Interactive Data Science and Collaboration

On the other hand, Toasted Analytics provides the following key features:

  • Website Analytics
  • Event Tracking
  • Shared Dashboards
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Pros of Databricks
Pros of Toasted Analytics
  • 1
    Best Performances on large datasets
  • 1
    True lakehouse architecture
  • 1
    Scalability
  • 1
    Databricks doesn't get access to your data
  • 1
    Usage Based Billing
  • 1
    Security
  • 1
    Data stays in your cloud account
  • 1
    Multicloud
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    What is Databricks?

    Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

    What is Toasted Analytics?

    Simple, privacy-friendly website analytics and event tracking that everyone can understand. We're GDPR, PECR & CCPA compliant and we do not use cookies or collect any personal information, so there is not need to add annoying banners. Toasted Analytics is not blocked by ad-blocking extensions so it collects more precise data than Google Analytics.

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    What companies use Databricks?
    What companies use Toasted Analytics?
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      What tools integrate with Databricks?
      What tools integrate with Toasted Analytics?

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      What are some alternatives to Databricks and Toasted Analytics?
      Snowflake
      Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
      Azure Databricks
      Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
      Domino
      Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.
      Confluent
      It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      See all alternatives