Best Data Discovery Software for Hadoop

Composable is an enterprise-grade DataOps platform designed for business users who want to build data-driven products and create data intelligence solutions. It can be used to design data-driven products that leverage disparate data sources, live streams, and event data, regardless of their format or structure. Composable offers a user-friendly, intuitive dataflow visual editor, built-in services that facilitate data engineering, as well as a composable architecture which allows abstraction and integration of any analytical or software approach. It is the best integrated development environment for discovering, managing, transforming, and analysing enterprise data.

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

IBM Analytics Engine is an architecture for Hadoop clusters that separates the compute and storage layers. Instead of a permanent cluster of dual-purpose nodes the Analytics Engine allows users store data in an object storage layer like IBM Cloud Object Storage. It also spins up clusters with computing notes as needed. The flexibility, scalability, and maintainability of big-data analytics platforms can be improved by separating compute from storage. With the Apache Hadoop and Apache Spark ecosystems, you can build an ODPi-compliant stack that includes cutting-edge data science tools. Define clusters according to your application's needs. Select the appropriate software pack, version, size, and type of cluster. You can use the cluster for as long as you need and then delete it as soon as the job is finished. Create clusters using third-party packages and analytics libraries. Use IBM Cloud services to deploy workloads such as machine learning.

Data visibility and control for security, compliance, privacy, and governance. BigID's platform includes a foundational data discovery platform combining data classification and cataloging for finding personal, sensitive and high value data - plus a modular array of add on apps for solving discrete problems in privacy, security and governance. Automate scans, discovery, classification, workflows, and more on the data you need - and find all PI, PII, sensitive, and critical data across unstructured and structured data, on-prem and in the cloud. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Our cloud account connections (AWS, Azure, and GCP) are easy to establish with our agentless data discovery platform and scanning platform. There is nothing to install or manage. All native cloud data stores are supported, whether they are structured or unstructured. Normalyze scans your cloud accounts for both structured and unstructured data. It only collects metadata to be added to the Normalyze graph. During scanning, no sensitive data is collected. A graph of trust and access relationships is displayed in real-time. It includes fine-grained context, process names, data store fingerprints, IAM role and policies. Locate all sensitive data stores, identify all access paths, and score possible breach paths based upon sensitivity, volume, or permissions. This will allow you to quickly show all breaches that are waiting to happen. Identify sensitive data-based industry profiles like PCI, HIPAA and GDPR.

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Datametica's birds have unmatched capabilities, which help to eliminate business risks, time, frustration, anxiety, and cost from the entire process for data warehouse migration to cloud. Datametica's automated product suite allows you to migrate existing data warehouses, data lakes, ETL, Enterprise business intelligence, and other data to the cloud environment of choice. Designing an end to end migration strategy that includes workload discovery, assessment and planning. From the discovery and assessment of your data warehouse to the planning of the migration strategy, Eagle provides clarity on what needs to be migrated, in what order, how to streamline the process, and what the costs and timelines are. The integrated view of the workloads and planning minimizes migration risk without affecting the business.

Find out in minutes if you have sensitive data hidden in places that you didn't expect (Screenshots and logs, messages, tickets, tables, messages). LightBeam's executive or delta reports can be generated with just one click to gain valuable insight into your sensitive data. Automate DSRs by leveraging LightBeam’s unique PII/PHI charts, which are comprehensively created based on your data infrastructure. By giving your users control over the data they collect, you can build trust with them. Monitor how sensitive data are collected, shared and maintained within your organization.

Oracle Big Data Discovery is a visually stunning, intuitive product that uses Hadoop to transform raw data into business insights in minutes. It does not require the user to be proficient in complex tools or rely on highly skilled resources. Customers can find the right data sets with Oracle Big Data Discovery and quickly analyze them to uncover new insights. They can also share the results and publish them back to Hadoop for enterprise use. BDD can be used in your organization as the central point of your data lab. It provides a unified environment to explore and navigate all your Hadoop data sources, and also allows you to create projects or BDD applications. BDD allows for more people to work with big data than traditional analytics tools. Data loading and updates take up less time, so you can spend your time on the actual analysis of big data.

Enterprise Recon by Ground Labs allows organizations to find and correct sensitive information from a wide range of structured and unstructured data. This includes data stored on your servers, on employees' devices, and in the cloud. Enterprise Recon allows organizations around the world to discover all their data and comply to GDPR, PCI DSS and CCPA, HIPAA and Australian Privacy. GLASS™, Ground Labs proprietary technology, powers Enterprise Recon. It enables the fastest and most accurate data discovery across a wide range of platforms. Enterprise Recon supports sensitive data discovery on Windows and MacOS, Linux, FreeBSD and Solaris. It also supports HP-UX and IBM AIX. Enterprise Recon has both agent and non-agent options. Remote options are also available to store almost any network data.

Doolytic is a leader in big data discovery, the convergence data discovery, advanced analytics and big data. Doolytic is bringing together BI experts to revolutionize self-service exploration of large data. This will unleash the data scientist in everyone. doolytic is an enterprise solution for native big data discovery. doolytic is built on open-source, scalable technologies that are best-of-breed. Lightening performance on billions and petabytes. Structured, unstructured, and real-time data from all sources. Advanced query capabilities for experts, Integration with R to enable advanced and predictive applications. With Elastic's flexibility, you can search, analyze, and visualize data in real-time from any format or source. You can harness the power of Hadoop data lakes without any latency or concurrency issues. doolytic solves common BI issues and enables big data discovery without clumsy or inefficient workarounds.

Protect, Monitor, and Discover enterprise sensitive data across multiple platforms and environments. Automate your subject rights response and demonstrate regulatory compliance - all in one solution