are increasingly looking for a wide Traditional integration began range of advanced data delivery capabilities to modernize their data. Analytics and application infrastructure.
Data leaders and analysts must germany phone number list navigate a marketplace filled with products that claim to solve a range of data integration problems. However. Not all have the expertise—or can equally deliver—all the relevant capabilities needed for our key use cases. Some vendors focus heavily on batch or batch data movement. But may place less emphasis on capabilities such as data virtualization. Data replication. Message-based integration. Streaming data integration. Or data synchronization.
the market But only marginally.
Over 80% of all organizations in our survey use bulk/batch operations to a significant degree. But up to 30% also use data virtualization or data synchronization with downstream data tiers.
Some organizations have determined that the basic functionality is right for them and are therefore looking for tools with focused and targeted capabilities. As a result. They are interested in why call jamestown market? evaluating and acquiring tools that are specialists in one data delivery style (e.G. Data replication or data virtualization). Others have decided to begin making an all-out effort to optimize the breadth of approaches. They are looking for tools that are generalists or best-in-class in data integration. Have multiple data delivery styles and support a combination of these different data delivery styles (see modernizing data integration architectures for digital business by combining data delivery styles ).
While many organizations have traditional solutions in place.
Modern requirements have increased the use of streaming data integration (to capture data as it is generated in near real time). Data virtualization. And data replication/synchronization. Somewhere between 35% and 45% of all organizations surveyed use at least two of these b2b reviews alternative approaches – and an even higher percentage of leading or large organizations do so (see “a market guide to data virtualization”).
In the context of digital business. Business moments are increasingly gaining the attention of enterprises. (“business moments” are short-term or temporary opportunities that set in motion a series of events involving people. Businesses. And things.) they want to use data to leverage these moments. Which will require data integration support. Which includes a focus on stream/event-driven capabilities. This is wh