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NICE inContact VS Databricks

Compare NICE inContact VS Databricks and see what are their differences

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The platform for exceptional customer service at scale. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NICE inContact logo NICE inContact

Get the DMG Consulting report reprint on cloud contact centers.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • NICE inContact Landing page
    Landing page //
    2023-10-04
  • Databricks Landing page
    Landing page //
    2023-09-14

NICE inContact videos

+ Add

NICE inContact CXone Quality Management Pro Improves the Customer Experience

More videos:

  • Demo - NICE inContact Demo - Virtual Call Center, VOIP Contact Center Software
  • Review - NICE inContact CXone for IT Leaders

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 NICE inContact and Databricks)

NICE inContact

Databricks

Communication
100 100%
Communication
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Enterprise Communication
100 100%
Enterprise Communication
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using NICE inContact and Databricks. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare NICE inContact and Databricks

NICE inContact Reviews

Top 7 Aircall Alternatives & Competitors, Ranked [2022] | Dialpad
Nice inContact is another cloud-based contact center that lets businesses manage communication channels like chat, social media, and voice. And they’re actually what RingCentral is using to provide their “unified communications” platform. (Essentially, RingCentral has an agreement with NICE to resell / whitelabel their product alongside their own phone system and messaging...
Source: www.dialpad.com
Best Call Center Software: The Complete List (2020 Update)
NICE inContact is another cloud-based call center software that helps improve customer service with their universal routing queue, top-of-the-line workforce optimization suite, personal connection dialer, and automation tools.
Source: biz30.timedoctor.com

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 more popular. It has been mentiond 17 times since March 2021. 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.

NICE inContact mentions (0)

We have not tracked any mentions of NICE inContact yet. Tracking of NICE inContact recommendations started around Mar 2021.

Databricks mentions (17)

  • 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 1 year 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 2 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 2 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 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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What are some alternatives?

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

Genesys Cloud - As the foundation of great customer experience, the Genesys PureCloud contact center platform empowers your business to provide excellent service across the entire customer journey.

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

Five9 - Five9 provides cloud-based call center software for sales, marketing and support.

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.

Genesys PureConnect - The Genesys PureConnect platform is an all-in-one customer experience solution that’s easy to use, flexible and customizable to your business needs.

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.

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