AI-Generated Results
Finding matches…
Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
Not seeing what you're looking for?
Dive deeper into "PadLoop" on G2 AI
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.
Oozie is a workflow scheduler system to manage Apache Hadoop jobs.
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
Apache Phoenix is an open source, massively parallel, relational database engine supporting OLTP for Hadoop using Apache HBase as its backing store.
Apache Ranger is a framework designed to enable, monitor and manage comprehensive data security across the Hadoop platform.
JamLoop is a DSP for connected TV and digital audio, enhanced with AI-powered creative services. With self-serve or managed options, advertisers can efficiently launch and manage campaigns, access premium inventory, and generate high-impact video and audio ads using automation and human expertise—streamlining media buying and creative production in one platform.
Apache Knox Gateway is an application gateway for interacting with the REST APIs and UIs of Apache Hadoop deployments.
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
Apache Atlas provides scalable governance for Enterprise Hadoop that is driven by metadata.
The Apache Tez project is aimed at building an application framework which allows for a complex directed-acyclic-graph of tasks for processing data. It is currently built atop Apache Hadoop YARN.
Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more.
PromptCloud operates on 'Data as a Service' model and deals with large-scale data crawl and extraction, using cutting-edge technologies and cloud computing solutions (Nutch, Hadoop, Lucene, Cassandra, etc). PromptCloud employs machine learning techniques to extract meaningful information from the web in desired format.
Streamline processes and support innovations with a single, trusted source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.
HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.
Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem.
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
Apache Kylin is an open source distributed analytics engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets, original contributed from eBay Inc.
Apache Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components. Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark.