Azure Databricks

Azure Databricks

By: Microsoft

Azure Databricks is a professional analytics platform designed to be used with applications running on the Azure cloud ecosystem. It is very nifty and easy to implement due to its being based on the Apache Spark framework. To further improve its analytical and predictive capabilities, it is also imbued with powerful AI capabilities.

Based on 23 Votes
Top Azure Databricks Alternatives
  • TradingView
  • Splunk
  • Cloudera
  • Google BigQuery
  • MyAnalytics
  • ATLAS.ti
  • Calero
  • Amazon Redshift
  • MapR
  • Exploratory
  • Amazon EMR
  • Oribi
  • Yandex.Metrica
  • XLSTAT
  • AWS Trusted Advisor
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Top Azure Databricks Alternatives and Overview

1

TradingView

TradingView is a platform that allows traders to choose and analyze the stocks before buying them.

By: TradingView
Based on 14 Votes
2

Splunk

Splunk is a big data analytics platform used to collect and analyze machine-generated big data and deliver real-time business insights for better decision making.

By: Splunk Inc. From USA
3

Cloudera

By: Cloudera
Based on 24 Votes
4

Google BigQuery

BigQuery from Google is a fast, fully managed and optimized data warehouse used by organizations to perform large-scale data analytics.

By: Google Inc. From USA
Based on 39 Votes
5

MyAnalytics

The Microsoft MyAnalytics is software from Office 365 which helps you track your work and productivity through your active time.

By: Microsoft
Based on 4 Votes
6

ATLAS.ti

Atlas.ti is a recognized product for qualitative and quantitative data analysis.

By: Scientific Software Development GmbH
Based on 14 Votes
7

Calero

The software also helps in providing the best in class solutions to the users, which...

By: Calero
Based on 1 Vote
8

Amazon Redshift

The platform offers affordable, pay-as-you-go based data analytics services suitable for businesses of all sizes...

By: Amazon Web Services, Inc. From USA
Based on 22 Votes
9

MapR

By: MapR Technologies
Based on 5 Votes
10

Exploratory

With its help, every data management technique starting from collection to processing to visualization, can...

By: Exploratory
Based on 1 Vote
11

Amazon EMR

The software can process large volumes of data at thrice the speed and half the...

By: AWS
Based on 15 Votes
12

Oribi

Conclusive event tracking and data funneling are available to access data across a variety of...

By: Oribi
Based on 3 Votes
13

Yandex.Metrica

Available with easy to use attribution models, spam filters, and traffic control bot, it provides...

By: Yandex
Based on 4 Votes
14

XLSTAT

Besides analysis, the software also helps to customize and share data within the Excel application...

By: Addinsoft
Based on 28 Votes
15

AWS Trusted Advisor

It offers more than 175 features from various data centres spread across the globe and...

By: AWS
Based on 23 Votes

Azure Databricks Review and Overview

AI-based research and applications require quite a lot of data in order to provide satisfactory results. While this data can be hard to collect, developers and data scientists using the Apache Spark environment and Azure cloud for their application have a boon in the form of Azure Databricks. This service allows its users to get amazing insights on their application through a deep analytical engine, which they can use to optimize the final product.

Unlocking a world of insights

The Azure Databricks platform is extremely capable of providing the user with all the data they need in a faster way. With its analytical engine based on the Apache Spark framework, developers can use a variety of data types to generate insights in real-time through an automated pathway. Data scientists can also gain additional flexibility in their data view by the use of one of the many query languages supported by the Databricks platform, like SQL and Scala. Another functionality that enriches the analytical experience is the support for several data frameworks like TensorFlow and PyTorch.

Novel ways of collaboration

Since most projects are complex enough to require a team of dedicated data scientists and developers for completion, the Azure Databricks platform offers ample methods for collaborations on a single project. This collaboration is achieved through the interactive Workspace feature. By creating a Workspace, developers get to work on a single project being developed on a selected language, which is centrally stored on the servers in the form of the primary instance. Developers make their own versions of the code and commit changes to the primary version. This speeds up development to an appreciable degree and results in improved collaboration.

Unmatchable security in analytics

Azure Databricks ensures that the data collected and analyzed never violates the privacy rights of any individual or organization at all. For this assurance, the platform provides a series of monitors and checklist modules that ensure that compliance is maintained at all times. For a more direct approach at security, insight and data protection systems, certified by the leading security organizations of the world, are set in place in the form of single sign-on authentication technology.

Company Information

Company Name: Microsoft

Founded in: 1975