Compare Databricks vs Segment

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Software Description:

Databricks is the solution that combines data science, engineering, and business to use the power of AI within a genuinely unified approach to data analytics. The solution is powered by Apache Spark, which is a completely open-source platform, hosted at the vendor-independent Apache Foundation.

Main users of Databricks are mostly used by data scientists and engineers in medium-sized and large enterprises, belonging to energy and utilities, financial services, advertising, and marketing industries. With this service, users can unify their analytics operations, streamline workflows, increase the productivity of data teams, reduce risk, optimize I/O performance, and many more. It also offers a collaborative workspace, so data teams are able to create data pipelines, test machine learning models, and provide insights to the business via the same platform.

When it comes to security, there are following solutions: role-based access management, identity management, data encryption, compliance standards support, and severe auditing. Databricks is used with the support of Microsoft Azure and Apache Spark.

Software Description:

From startups to the Fortune 500, thousands of companies use Segment as their customer data hub. We believe that making customer data a joy to work with is a design and abstraction problem. Segment is made for people who want to build incredible products and experiences, and who constantly strive to learn and improve.

Segment's customer data hub is a single platform that collects, stores and routes data to hundreds of business tools with the flip of a switch. Our goal is to make using data easy.

Features:

  • 2-Factor Authentication
  • Data Import
  • Data Export
  • External Integrations
  • API
  • Notifications
  • Analytics
  • Dashboard
  • Data Visualization

Features:

Summary:

  • Databricks runtime

  • Interactive exploration

  • Collaboration

  • Visualization

  • Notebook workflows

  • Notification and logs

  • Role based access control

  • Integrated identity management

  • Auditing

  • Compliance

Summary:

  • Power all of your tools with the same customer data: Leverage the power of hundreds of tools when you use Segment as your customer data hub.

  • Query your data in SQL: Track data with Segment. Query in Amazon Redshift. It's that easy.

  • Take your data with you: Want to try a new tool? Replay your historical data, so it's like you've been using that vendor all along.

  • Send data from anywhere: You can send data to Segment from any device – from smartwatches to iBeacons, point-of-sale registers and more.

  • Instantly install analytics for ecommerce: If you're using a major ecommerce platform, you can install Segment with zero code.

  • Collaborate across your team: Organizations allow you to group together projects — like your website, iOS and Android apps — under one account.

Databricks for Data engineering workloads

$0.20
per Databricks unit plus Amazon Web Services costs
Included in plan:
  • Apache Spark
  • Databricks I/O
  • Databricks jobs
  • Databricks operational security package

Databricks for Data analytics workloads

$0.40
per Databricks unit plus Amazon Web Services costs
Included in plan:
  • Databricks interactive clusters
  • Databricks workplace

FAQs:

    What are some applications this service is commonly used in tandem with?
  • It is mostly used together with Microsoft Azure and Apache Spark.

  • Does this service offer an API?
  • Yes, it offers an API.

  • Does this service integrate with any other apps?
  • Integrations: Looker, Amazon Redshift, Tableau, Talend, Amazon Kinesis, Alteryx, MnigoDB, TIBC Spotfire, Pentaho, Cassandra, and Redis.

  • Who are the main user groups of this service?
  • Databricks are mostly used by data scientists and engineers in medium-sized and large enterprises, belonging to energy and utilities, financial services, advertising, and marketing industries.

  • What platforms does this service support?
  • Databricks is designed native to the cloud and on top of the propriety platform which allows its runtime to optimize Apache Spark.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Knowledge Base, Online Support, Training, Webinars, and Videos.

  • What is this service generally used for?
  • This service is generally used as a unified data analytic solution.

FAQs:

    No FAQs associated with this application.

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
10.5k
Followers:
25.4k

Publisher:

Founded:
2012
Based in:
San Francisco
Employees:
51-200
Likes:
9.46k
Followers:
20.1k

Other:

Who uses Databricks
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Regional Restrictions:
No restrictions.
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