What is Data Integration? What are the Top 5 Data Integration Platforms in 2022?

Data integration is the essential process of combining data from several sources into a coherent perspective. The integration process includes ingestion techniques such as ETL (extract, transform, load), mapping, cleansing, and transformation. Finally, analytics tools can help companies gain relevant information and insights. There is no one-size-fits-all solution for a data sharing platform or integrated data systems because the field of data integration is so vast. Regardless, the following phases are usually included in the procedure:

  • The primary server
  • A network of data sources
  • Clients who access data and information through the principal server

A data integration platform is a collection of technologies for creating flexible data pipelines, not only a database transfer tool. For example, data ingestion frameworks, database replication software for copying and converting database objects and data into different formats, data transport architectures, model-driven configuration tools for designing, building, and managing a data lake or data warehouse, and a smart, enterprise-scale data catalogue should all be included in a comprehensive data pipeline. Furthermore, a data integration platform adapts to new use cases and technologies as your data volume expands. Finally, it allows users to search large databases, allowing them to benefit from features like business intelligence, consumer data analytics, data enrichment, and real-time data delivery.

Top 5 Data Integration Platforms

1. Needl.Ai

Needl.Ai is an AI-enabled, cloud-based data integration platform that curates data from various sources into a single unified repository. Needl.Ai is an AI-enabled, cloud-based data integration platform that curates data from various sources into a single unified repository. By integrating all your unstructured data, they allow you to avoid juggling between multiple tabs, documents and applications. With their collaboration solutions, you can integrate everything with ease, right from your notes, emails, chats, and drives to public data such as frequently visited websites, regulatory websites, subscriptions, RSS feeds, podcasts you listen to, and even bookmarks. 

2. Microsoft Azure

It is a hybrid data integration platform that can directly run SQL server integration service packages in Azure. They have multiple native data connectors. In addition, they have fully managed ETL service in the cloud.

3. Hevo Data

It is an automated data pipeline platform that supports both ELT and ETL. In addition, this platform offers numerous features ranging from real-time data replication to automatic schema detection and change data capture. They have 100+ pre-built connectors across databases, cloud applications, SDKs and streaming, and file storage. 

4. Oracle

It is a cloud-based data integration platform that offers a plethora of features. These include machine learning & AI capabilities, data migration across hybrid environments, and data profiling and governance. In addition, they offer all RDBMS, Oracle and Non-Oracle technologies when it comes to connectors.

5. IBM

Their InfoSphere Information Server is a one-of-a-kind product that offers a wide range of integration and monitoring features. By offering consistent business insights, it enables big data integration with traditional enterprise data. This platform enables real-time data delivery to business applications through bulk data migration or other methods. Furthermore, IBM ensures that all data movement processes are completely safe.

A data sharing platform may help with everything from real-time data delivery to data enrichment, consumer data analytics, and business intelligence. If you strive to take your business to the next level, consider working with a professional data integration service. Needl.Ai is a promising startup that offers best-in-class data management solutions by converting your data into a usable format and increasing overall productivity. Understand what your business strives to achieve and weigh the pros and cons before choosing the right data sharing platform for your business. 

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