Solutions Review’s Data Management for Analytics Vendors to Watch is an annual listing of solution providers we believe are worth monitoring. Companies are commonly included if they demonstrate a product roadmap aligning with our meta-analysis of the marketplace. Other criteria include recent and significant funding, talent acquisition, a disruptive or innovative new technology or product, or inclusion in a major analyst publication.
Data management for analytics solutions are complete software systems capable of managing data in one or more file management repositories. Oftentimes these solutions oversee analytical processing as well. The umbrella of analytical processing includes relational and nonrelational processing, machine learning, and the use of several programming languages. Different data models are available, including those that use XML, JSON, key-value, text, graph, and even geospatial schemes.
These data management for analytics Vendors to Watch have met at least two of our five points of inclusion and represent to some degree the evolution of the marketplace. It’s in that spirit we turn our attention to the immediate future. Providers are listed in alphabetical order. Provider names and logos are linked so you can learn more.
Ataccama offers an augmented data management platform that features data discovery and profiling, metadata management and a data catalog, data quality management, master and reference data management, and big data processing and integration. The product (Ataccama ONE) is fully integrated yet modular for any data, user, domain or deployment type. Ataccama also includes text analytics and machine learning, as well as data enrichment with external sources and data lake profiling. Ataccama is a Gartner visionary in data quality software.
AtScale offers a data virtualization platform that enables users to connect BI tools to live data sources without moving data. The product features support for time-based calculations, hierarchies, semi-additive metrics, multi-level measures, and many-to-many relationships. Customers can use existing BI tool drivers to connect to data platforms as well, and AtScale natively connects Excel to live data on-prem and in the cloud. AtScale includes automatic data lineage and auto-optimized query response time functionality.
Exasol offers an in-memory analytics database that is among the fastest in the industry, according to the TPC-H industry benchmark for evaluating performance. The product features columnar compression and storage, as well as massively parallel processing. Its standard SQL interfaces provide simple compatibility with pre-existing applications and data structures. Exasol also includes support for Hadoop. Exasol is best suited for real-time big data reporting, analysis, and advanced analytics.
Incorta is a data platform that speeds up data ingestion and provides hastened join performance. The vendor has dubbed its product as ‘The Industry’s First No-ETL Data Warehouse.’ Incorta features a Direct Data Mapping engine which provides real-time aggregation of complex business data without needing a data warehouse. Users can drill from top line, aggregated KPIs to supporting transaction records with one click. Incorta also enables you to drill anywhere with user-defined drill paths and hierarchies.
Octopai is a centralized, cross-platform metadata management automation solution that enables data and analytics teams to discover and govern shared metadata. The product does metadata scanning by automatically gathering it from ETL, databases and reporting tools. Metadata is stored and managed in a central repository, and a smart engine using hundreds of crawlers searches all metadata and presents results quickly. Octopai is best used for use cases in business intelligence, governance, and data cataloging.
ZenOptics offers a solution for self-service BI governance that utilizes existing investments in BI and data analytics. The tool enables secure, end-user access in a portal-like environment which facilitates access to reports and dashboards built with different tools. ZenOptics requires no special training and surfaces reports and dashboards in their native user experience. Users can also take advantage of proprietary machine learning to recommend or suggest reports based on consumption patterns of other users.
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