The editors at Solutions Review have compiled this list of data integration vendors that matter most from the recently published 2020 KMWorld 100 listing.
Knowledge management information provider, publisher and conference organizer KMWorld recently unveiled its 2020 KMWorld 100 Companies That Matter in Knowledge Management. The 2020 KMWorld 100 outlines the top knowledge management solution and services providers and is assembled via input from editors, analysts, experts, and product end-users. Inclusion criteria is based on functionality, creativity, product innovation, and a history of demonstrated success with clients.
At Solutions Review, we track the solution providers that have the biggest impact on the mid-market and enterprise, As such, we’ve perused the complete 2020 KMWorld 100 report, available here, and segmented the vendors and tools that matter most in data integration.
The Adlib Platform is a scalable solution that utilizes artificial intelligence, machine learning, and natural language processing to discover, cleanse, classify, and extract data from unstructured content. The product discoveres documents in more than 300 file formats from word processing, images, emails, spreadsheets, and other unstructured content and analyzes it to identify high-value data. Adlib integrates with multiple systems and automates the intelligent processing of digitally born or post-scan paper content.
IBM offers several distinct data integration tools in both on-prem and cloud deployments, and for virtually every enterprise use case. Its on-prem data integration suite features tools for traditional (replication and batch processing) and modern integration synchronization and data virtualization) requirements. IBM also offers a variety of prebuilt functions and connectors. The mega-vendor’s cloud integration product is widely considered one of the best in the marketplace, and additional functionality is coming in the months ahead.
MarkLogic offers an operational and transactional enterprise NoSQL database that is designed to integrate, store, manage, and search for data. Organizations can ingest structured and unstructured data with a flexible data model that adapts to changing data. It also natively stores JSON, XML, text, and geospatial data. MarkLogic’s Universal Index enables users to search across all data, and APIs enable application development and deployment. The database has ACID transactions, scalability and elasticity, and certified security as well.
Microsoft offers its data integration functionality on-prem and in the cloud (via Integration Platform as a Service). The company’s traditional integration tool, SQL Server Integration Services (SSIS), is included inside the SQL Server DBMS platform. Microsoft also touts two cloud SaaS products: Azure Logic Apps and Microsoft Flow. Flow is ad hoc integrator-centric and included in the overarching Azure Logic Apps solution.
The Qlik product suite features a range of data integration capabilities that span four distinct product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across all major databases, data warehouses, and Hadoop. The portfolio of products is buoyed by Qlik Compose and Qlik Visibility. The provider also offers Qlik CloudBeam, an Integration Platform as a Service tool, which provides cloud-optimized data replication from all major on-prem sources to Amazon Web Services, Microsoft Azure, and Google Cloud.
SAS is the largest independent vendor in the data integration tools market. The provider offers its core capabilities via SAS Data Management, where data integration and quality tools are interwoven. It includes flexible query language support, metadata integration, push-down database processing, and various optimization and performance capabilities. The company’s data virtualization tool, Federation Server, enables advanced data masking and encryption that allows users to determine who’s authorized to view data.
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