Databricks
Databricks is an analytics tool based on Apache Spark, an open-source computing framework. The tool offers features that let users innovate and optimize workflows to create a sustainable collaboration between various teams in an organization.
Top Databricks Alternatives
- TradingView
- Splunk
- Cloudera
- Palantir Gotham
- KNIME Analytics Platform
- Platfora
- Talend Big Data
- Apache Arrow
- SAP IQ
- Revulytics
- HPCC Systems
- Qubole
- Informatica Big Data
- Apache Beam
- HP Haven
Top Databricks Alternatives and Overview
TradingView
TradingView is a platform that allows traders to choose and analyze the stocks before buying them.
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.
Palantir Gotham
Palantir Gotham is a complete big data analytics and management solution that allows users to integrate, store, manage and analyze all of their business data from one platform.
KNIME Analytics Platform
KNIME features an open-source, enterprise level analytics platform to help businesses discover the hidden potential in their data and identify useful and fresh insights.
Platfora
Platfora big data analytics is an automated Hadoop service platform that enables business to know the potential of their data by analyzing all of it without needing technical experts.
Talend Big Data
The platform enables developers to use integrated tools, such as Apache Hadoop, Spark and NoSQL...
Apache Arrow
Since 1999, it has been actively rolling out regular updates for its customers and keeps...
SAP IQ
The software allows users to access crucial data, perform extreme level data analytics, and provide...
Revulytics
Understand which features are used most or least...
HPCC Systems
It features an easy-to-use, cloud based platform that supports faster application development with far less...
Qubole
All its processing is done on the cloud, which offers it an exceptional amount of...
Informatica Big Data
The software helps businesses and organizations properly use, manage and deliver meaningful values from big...
Apache Beam
This model takes care of batch as well as parallel processing pipelines...
HP Haven
With cloud based and on-premise deployment options, HP Haven is designed to extract maximum output...
Databricks Review and Overview
Data is the future. In the foreseeable future, data will dominate the way organizations communicate and collaborate with each other and with customers. In fact, a large part of the impending transformation is already underway. Many organizations around the world are increasingly turning to data and analytics to solve their day-to-day challenges. It has helped them gain significant ground among their customers and develop a productive relationship with them. However, it is also true that a lot of the organizations have simply hopped on to the analytics bandwagon without much forethought and hence have lost a lot of money by investing in ineffective systems.
Why use Databricks?
Doing it right is important. For organizations to leverage the potential of analytics to its fullest, they need to understand the way analytics works and then use this knowledge to invest in the right systems. Although this is a time-consuming process, it would be beneficial for them in the long run. Or they can get started with using analytics tools like Databricks. It is a tool that provides organizations with features that help them to innovate and scale those innovations effectively. Right from the process of unifying data to creating test models, the tool facilitates and guides its users at every step of the process and makes the entire experience extremely user-friendly.
Integrations on offer
Additionally, the tool also offers convenient integration options with other tools like Azure Cosmos DB, Azure Data Lake Store, and Azure Blob storage, among others. Data for organizations today is an extremely sensitive resource, one which they cannot risk losing at any cost. Therefore, when we talk of analytics tools, the security features that come with it become extremely important. Databricks offer integration with Azure Active Directory, and this enables it to provide safety features like role-based control and enterprise-grade SLAs.
What makes the tool so desirable?
Apart from these features, the attribute that makes the tool popular among a wide range of customers is scalability. The tool offers a high degree of scalability, and this makes it suitable for organizations and businesses of all sizes. Additionally, the tool offers machine learning capabilities that help customers take up a wide array of projects and execute them effectively.
Company Information
Company Name: Databricks Inc.
Founded in: 2013