Best Data Analysis Software for Collibra

Voice and written support makes it easy to get answers. Based on your interests, history, and role, you will receive personalized and recommended results. Quaeris provides near-real-time data access for all data. Quaeris enhances your existing dashboards. To increase knowledge sharing and track performance, teams can share insights and pinboards. Ask questions in plain English. There's no need for keywords or queries. Our advanced AI engine transforms your inquiry to a database-ready language within seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.

Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Dataproc makes it easy to process open source data and analytic processing in the cloud. Faster build custom OSS clusters for custom machines Dataproc can speed up your data and analytics processing, whether you need more memory for Presto or GPUs to run Apache Spark machine learning. It spins up a cluster in less than 90 seconds. Cluster management is easy and affordable Dataproc offers autoscaling, idle cluster deletion and per-second pricing. This allows you to focus your time and resources on other areas. Security built in by default Encryption by default ensures that no data is left unprotected. Component Gateway and JobsAPI allow you to define permissions for Cloud IAM clusters without the need to set up gateway or networking nodes.

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.

Promethium empowers data and analytics teams to work smarter, so they can keep up with growing data volumes and business requirements. It is not enough to connect to a data lake or data warehouse to access raw data. Datasets require a lot more work from data teams! Data teams are not growing as fast as the data volumes or the business demand for data. Promethium makes overloaded data teams more efficient and can deliver more quickly. Reduce your dependence on ETL. Access data wherever it is. It is easier to move less data, which saves you time and money. Promethium can be done by one person in minutes. This is a significant improvement on the time and effort required for a team of six or more tools. Connect and catalog data sources, create cross-source datasets, and query them with just a few clicks. There is less custom code and less ETL. Validate data is accurate in real-time, and not after months of work. Instantly share work to make it reuseable, rather than recreate it.