Data integration has become a vital aspect of information management as organizations access elements from numerous disparate sources. Enterprises need data integration tools to consolidate items gathered from different sources into meaningful information. These solutions map, transform, and sanitize the elements to fulfill the specific requirements of the organization. Businesses collect data from various places in a number of formats. These items in their raw form do not provide any value to a corporation and integration solutions merge and convert them into valuable assets. Each company’s business needs and goals are different which means that the platform being used for consolidation must also be flexible. Data management services experts advise that organizations must be careful while choosing a tool as it will also be integrated with governance and data quality solutions. Following are some of the best integration platforms that can be used by enterprises to consolidate their information.
1. Informatica PowerCenter
One of the most powerful platforms that you can use to merge your elements across cloud, on-site or hybrid environments is Informatica PowerCenter. The service easily handles complex consolidation processes and conducts the process in minutes. It enables collaboration between analysts and IT users to create prototypes and iterate result validation rapidly. The platform has a set of robust tools that do not require any coding. It also proves to be an effective accessory to governance as it can monitor processes and issue alerts on discovering errors.
2. Microsoft Azure Data Factory
The Azure Data Factory comes from the stable of the tech giant Microsoft. Its intuitive visual ecosystem facilitates the creation of data models without any code input. Users can build ETL and ELT processes effortlessly. All the coding requirements are handled by Azure Databricks’ managed Apache Spark service. There are over 80 pre-defined connectors that can be used for transferring the elements. It is a fully managed serverless cloud-based solution that can be easily scaled when the need arises.
Another intuitive platform that lets you build data pipelines to your warehouse or data lakes is Xplenty. Its graphic platform will help you execute an ETL, ELT or replication process easily. You can create a pipeline to migrate your information and set schedules in advance with its workflow engine. The tool, then handles the deployment, monitoring, security, and maintenance of the operation. Consolidating the assets can be a challenging task and the service provides extensive support to subscribers through e-mail, phone, chat, and online meetings.
4. Dell Boomi
Dell Boomi is a comprehensive data management platform which has a robust integration module. The service will help you merge data from all kinds of sources and devices residing in cloud and on-premises applications. An extensive connectors library, mapping tools, and in-built support for complicated integration patterns make it one of the best data integration tools. The user interface allows users to drag and drop elements which helps in speedy processing.
Talend provides enterprise data integration software to merge any kind of information across all types of storage environments. There are over 900 readymade components that connect databases, cloud-based apps, and other elements. This helps in executing numerous ETL processes quickly across the entire information management framework of an organization. The product enables businesses to create and run reusable consolidation tasks through a point-and-click interface. It is a reasonably priced and easily scalable solution.
6. Actian DataConnect
Enterprises looking for a hybrid integration solution can use Actian DataConnect. It is a cost-effective platform that allows users to create custom connectors and other elements of the workflow through its software development kit (SDK). It also provides numerous pre-defined connectors that can be used to access on-site or cloud-based sources. The service is an ideal platform for organizations that use a lot of iterative processes. They can build reusable templates through its IDE and complete the integrations quickly.
7. Oracle Data Integrator
The Oracle Data Integrator is a powerful and comprehensive integration platform with amazing capabilities. It can handle high-performance batch loads or event-driven trickle feed processes easily. The latest version of the tool named, Oracle Data Integrator (ODI) 12c has a flow-based declarative interface which improves the productivity of the user. The tool has in-built multiple target support and enables the generation of reusable mappings.
8. Attunity Connect
Organizations can use Attunity Connect to provide standards-based access in real-time to their information assets across relational and non-relational sources. The service ensures a reliable and secure connection to the elements to optimize the integration process. It can easily drive integrations with web applications. It also facilitates data-driven event detection. The tool helps in the creation of a Service Oriented Architecture (SOA) for managing business processes.
Panoply provides more than 100 pre-defined integrations that can be used to merge enterprise data. It also lets users generate their own pipelines through its SDKs to handle assets residing in their own applications. The platform uses machine learning to automate processes and build schemas. It can also be integrated with any bi-visualization solution like Looker and Tableau.
The last entry on this list, Snaplogic is an integration platform-as-a-service (iPaaS) solution. Users can set up the consolidation processes through a visual interface without needing to input any code. It has support for conditional operations, triggers, and complex transformations. The tool has in-built granular security and permissions features which ensure total safety of the assets.
Businesses can use any of the above-mentioned data integration tools to merge their information assets originating from diverse sources. These solutions will help them improve the pace of their iterative integration processes and boost their productivity.