MEET CLARA - THE AI BEHIND SMARTER SOFTWARE CHOICES
80% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
What is Azure HDInsight and how does it work?
Azure HDInsight is a cloud-based Big Data Processing and Distribution Software. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications help protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date.
Read more74% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
What is SQL Server 2019 and how does it work?
Transform your business with a unified data platform. SQL Server 2019 comes with Apache Spark and Hadoop Distributed File System (HDFS) for intelligence over all your data.
SW Score Breakdown
73% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
What is Apache Storm for HDInsight and how does it work?
Get HDInsight, an open-source analytics service that runs Hadoop, Spark, Kafka, and more. Integrate HDInsight with big data processing by Azure for even more insights.
SW Score Breakdown
Apache Storm for HDInsight Pricing
78% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
What is Google Cloud Dataflow and how does it work?
Dataflow is a fully managed streaming analytics service that minimizes latency, processing time, and cost through autoscaling and batch processing.
SW Score Breakdown
What is Databricks and how does it work?
Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes.
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