Top 20 Data Integration Companies - 2018

Today’s rapidly evolving businesses require access to a variety of sources to integrate dispersed data that can provide valuable business insights. It is inevitable to note that different businesses use an array of data management systems where data exists in different formats, and data integration combines the various formats in a single location to generate valuable and usable information and help solve problems. Flexibility and real-time monitoring of data is becoming ever more essential in managing and leveraging information to obtain results with reduced cost and risks. The data on which a company relies comes from many sources, including their CRM systems, marketing operations software, and more that needs to be put together for analytical purposes. In the absence of this unified data, data analysis becomes a challenging task that involves accessing data by logging into multiple accounts or sites. To make the task easier, our data integration engineers or developers implement integration in a better and efficient manner according to the needs of different businesses. In the tech world, managing big data is strenuous due to high data volume where data integration can help obtain relevant insight from the data collected and stored. It establishes cross-functional analysis breaking the data silos due to disjointed departments. Data integration is generally implemented data repositories called data warehouses (DW) through specialized software. A smart data warehouse automates following critical aspects of the data analytics stack: data collection and transformation (ETL), query performance optimization, and database storage management. While the above-mentioned data integration solutions add value in saving money and time, there are specific applications where data integration has its vital role. Businesses adopt data integration tools serving different applications and to mention a few—Business intelligence utilizes the process of using technology to help make better business decisions via analysis of structured, cleaned, and prepared data. Master Data Management (MDM) is another essential application similar to data integration; however, data integration occur before the actual MDM is carried out. Customer data integration (CDI) helps create a more efficient data management system enabling to access the customer data and provide better customer experience. Whereas virtualizing data involving a well-constructed arrangement allows a user to access, manipulate, and query data without the need to gain access to its actual storage location. In the present days, data analysts and integration architects are looking toward information platform-as-a-service solutions (iPaaS) which have proved to be enabling tools in moving data between a source and target systems. These new data integration solutions simplify transforming data into clean, readable formats, making them ready for querying and analysis. Such developments are making mining insights from business data much easier than before. The advancements in data integration solutions have also introduced built-in connectors to simplify reading and writing of every type of file, database or mainframe, creating versatile connectivity. Considering all these facts, our distinguished panel of CEOs, analysts, and CIOs have decided on a list of the top data integration solution providers with each vendor offering a specific style of data integration tool. We present to you, CIO Review’s “20 Most Promising Data Integration Solution Providers - 2018.”