Databricks is a cloud-based unified data analytic and big data management platform.
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.
Awarded the Quality Choice Award
Awarded the Trusted Vendor Award
Awarded the Happiest Users Award
Databricks currently scores 91/100 in the Analytics category. This is based on user satisfaction (90/100), press buzz (62/100), recent user trends (falling), and other relevant information on Databricks gathered from around the web.
| The score for this software has improved over the past month. What is this? |
Databricks runtime
Interactive exploration
Collaboration
Visualization
Notebook workflows
Notification and logs
Role based access control
Integrated identity management
Auditing
Compliance
Product recommendations, vendor rankings, market overview and tips on how to select Analytics software for business. Published in September 2023.
Businesses today gather large volumes of data, ranging from customer information to something as basic as the client location. The process of converting the data into actionable information is called analytics. Analytics software analyzes each bit of data y...
FREE DOWNLOAD Analytics-Software-Buyer-Guide-2018.pdfIt is mostly used together with Microsoft Azure and Apache Spark.
Yes, it offers an API.
Integrations: Looker, Amazon Redshift, Tableau, Talend, Amazon Kinesis, Alteryx, MnigoDB, TIBC Spotfire, Pentaho, Cassandra, and Redis.
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.
Databricks is designed native to the cloud and on top of the propriety platform which allows its runtime to optimize Apache Spark.
Support: Knowledge Base, Online Support, Training, Webinars, and Videos.
This service is generally used as a unified data analytic solution.
It has all great features that we need as data engineers and some of the features are explained here. To ensure data security this platform is powered by Apache Stack which is vendor free and allows us to edit its code to suit the size of our data sets. Our data is encrypted with high end encryption of which the encryption keys aren't stored anywhere. Our data is also protected by its standards compliance system which blocks users that are attempting data fraud. Data importation and data exportation is very easy as we integrated it with our system and almost one command automates several processes in processing data and analytics. It has so far improved our system performance from inputting to outputting of data. It has helped us in implementing our machine learning and artificial intelligence features because it was developed in those standards too.
Minor things like user interface and extension of commands need to be improved. Furthermore, it does not accommodate data reports customization as it only allows a small number of data exportation formats.
We mainly use this tool to analyze our big data and get market and financial insights that enable our leaders to make informed decisions. It also helps us to build our machine learning and artificial intelligence tools to stay on top in data projections.
