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Databricks

Stacks501

Followers753

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Votes8

Webtrekk

Stacks10

Followers9

+ 1

Votes0

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Databricks vs Webtrekk : 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, *Webtrekk * is detailed as "Marketing Analytics & Customer Intelligence". It offers marketing analytics and customer intelligence software. With this, companies can connect, analyze and activate user and marketing data across all devices.

Databricks and Webtrekk 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, Webtrekk provides the following key features:

Reduce costs by using first-party data
Create remarketing and onsite marketing
Precisely target your users so you leverage the true potential in your data

Manage your open source components, licenses, and vulnerabilities

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Pros of Databricks

Pros of Webtrekk

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 Webtrekk ?

It offers marketing analytics and customer intelligence software. With this, companies can connect, analyze and activate user and marketing data across all devices.

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Jobs that mention Databricks and Webtrekk as a desired skillset

Staff Software Engineer

Toronto, ON, CA

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What companies use Databricks?

What companies use Webtrekk ?

Manage your open source components, licenses, and vulnerabilities

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What tools integrate with Databricks?

What tools integrate with Webtrekk ?

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What are some alternatives to Databricks and Webtrekk ?

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.

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Databricks vs Webtrekk

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Pros of Databricks

Pros of Webtrekk

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What is Databricks?

What is Webtrekk ?

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What companies use Databricks?

What companies use Webtrekk ?

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What tools integrate with Databricks?

What tools integrate with Webtrekk ?

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