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Azure Databricks

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Clicky

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Followers92

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Azure Databricks vs Clicky: What are the differences?

Developers describe Azure Databricks as "Fast, easy, and collaborative Apache Spark–based analytics service". Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service. On the other hand, Clicky is detailed as "Real time web analytics". Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Azure Databricks and Clicky belong to "General Analytics" category of the tech stack.

Some of the features offered by Azure Databricks are:

Optimized Apache Spark environment
Autoscale and auto terminate
Collaborative workspace

On the other hand, Clicky provides the following key features:

Free version available
Detailed information about every person who visits your web site
Highly customizable tracking

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Pros of Azure Databricks

Pros of Clicky

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10
Easy setup
6
Tons of detail
5
Cheap
5
Many features

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What is Azure Databricks?

Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.

What is Clicky?

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

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Jobs that mention Azure Databricks and Clicky as a desired skillset

Staff Software Engineer

Toronto, ON, CA

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What companies use Azure Databricks?

What companies use Clicky?

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What tools integrate with Azure Databricks?

What tools integrate with Clicky?

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What are some alternatives to Azure Databricks and Clicky?

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.

Azure Machine Learning

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Azure HDInsight

It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.

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.

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.

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Azure Databricks vs Clicky

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Pros of Azure Databricks

Pros of Clicky

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What is Azure Databricks?

What is Clicky?

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What companies use Azure Databricks?

What companies use Clicky?

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What tools integrate with Azure Databricks?

What tools integrate with Clicky?

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