A data integration tool or platform is one of the most useful applications that organizations rely on in today's world. It is used to aggregate, sort, transform, analyze and visualize data, which is necessary for business intelligence and decision making. Pretty much any business model can benefit from high-quality data analytics tools and capabilities, as well as the ability to centralize data from multiple data sources into a single data warehouse.
There are cloud-based data integration platforms, or third-party ones, and those you can create in-house or build from scratch. The first solution tends to be significantly more cost-effective and user-friendly, which is why it is often a go-to option for many companies. Unless you have such complex data collection and analysis processes that are not covered by existing solutions, there is no need for you to develop an in-house data integration platform. In this article, we will go over some of the best data integration tools available today and give you the reasons why you should implement at least one of these tools in your organization.
Xplenty is an ETL or Extract, Transform and Load solution for automating data flow or data management. It's a user-friendly tool that allows your staff to easily set up a data pipeline and connect multiple data sources, and route data into your data warehouses. One great thing about Xplenty is that it formats and cleans the data while it's in the pipeline, so it's ready for analysis at its destination. This means you don't have to spend a lot of time sifting through raw data to get meaningful feedback.
This is one of the cloud-based data integration tools that support private and public clouds - as well as on-premise and web-based data sources, so you don't have to worry about configuration and maintenance. It can be deployed quickly, and users can use it intuitively, so you don't have to wait for them to complete a lengthy course on how to use this data integration software.
Whatagraph is another great data integration solution for monitoring social media campaigns, collecting e-commerce data, and visualizing KPIs. You can easily integrate it with many other tools and platforms you already use and create reports. Furthermore, it has fully custom branding, so the report can carry your logo and company name every time it's generated.
The tool also offers several pre-built templates, which come in handy if you haven't done any data analysis before - and aren't sure which metrics you should be monitoring. Similar to Xplenty, you can automate the whole process of report generation and then simply receive relevant data via email. All in all, Whatagraph is a really well-rounded data integration tool that allows you to organize all your relevant information neatly.
A third on the data integration tools list is Jitterbit. It can help you streamline data aggregation from on-premise, SaaS, and cloud applications. You can also add AI and combine it with different apps, which can help you further automate the data analysis process, as well as add real-time translation and recommendations engine features. The tool has various pre-built templates for integrations that will greatly simplify the entire process of connecting different apps. In case the apps are not compatible right away, it will be quite easy for you to configure a new integration feature with Jitterbit.
Previously mentioned templates can also be shared with other organizations. If you are working with different companies and need to interface with their systems, it won't be too much trouble. The GUI works with a wide array of apps, including ETL, so you can extend the capabilities of other data aggregation or data management tools.
This is an amazing cloud-native hybrid integration platform that can easily accommodate some of the more complex systems. Again, there is a user-friendly interface with intelligent recommendations that enables a seamless end-to-end data pipeline. Moreover, the tool allows you to improve data quality, and transform data as well as modernize a number of legacy applications which helps you stay agile.
There are over 1,500 templates for API connectivity, so it's pretty unlikely you'll need to create your own API hooks. In other words: If you have big data and need to create data pipelines to multiple data warehouses, you can't go wrong with Dell Boomi.
SnapLogic Intelligent Integration Platform is an incredibly flexible tool that pretty much any organization can use to achieve digital transformation and combine data from multiple sources. One great advantage you will have when you rely on SnapLogic is its integration with Internet of Things (IoT) devices. It has around 500 pre-built API connectors. The whole process is supported by AI recommendations, so once you decide to synchronize data, the extensive integration processes will really be a breeze.
Once again, a great solution for non-technical users who wish to integrate their database with a cloud-based application. Celigo has pretty much similar features to everything covered here so far. Nevertheless, it has an impressive graphical interface, you can connect apps with ease, and it's an overall good solution for enterprise organizations and small businesses.
Talend Cloud Data Integration app can combine on-premise data and cloud-based and via self-service and multiple flexible tools. The drag and drop interface allows both technical and non-technical users within a company to tackle API management and perform processes of combing high data volumes and transforming them.
Aggregated data is easily transformed and even goes through a quality review process or data cleansing. You can configure data pipelines with other apps so that the information stored in your data warehouses is ready for analysis and visualization.
A hybrid integration platform with a wide range of comprehensive features for API management, cloud integration, and ESB technologies. However, unlike the tools that we've covered so far, this all-in-one solution is aimed at more advanced tech users or enterprise organizations. Sometimes, data analytics needs do not fall within the scope of what other, more user-friendly solutions can provide. Rather, you need more of a custom solution for your own integrations because you also rely on tools that are also custom-made. This is where Anypoint can be very helpful. In other words, all those pre-built connectors don't really do you any good.
The tools that require more technical knowledge also tend to be more versatile because they don't use pre-built connectors for cloud integration. This means you can transform and manage data more efficiently. One of the other exciting features is that you can even capture metrics that are not available with other tools. You can create more comprehensive reports and have better drill-down capabilities.
Combining data can be a challenge, and performing data transformation for each individual data source can be an extremely tedious process. Big Data analytics can only be achieved through an integration platform approach and machine learning, as it is not humanly possible to analyze such massive amounts of data. Of course, not every business needs a robust and complex system for data transformation and analysis, but as businesses grow, the need for these processes will increase.
Customer satisfaction is easier to achieve when you know what customers expect and need. More so, gathering so much input at once would be difficult without cloud services and an integration platform that can unify all the feedback coming from multiple sources.
In other words, with an integration platform, you can closely monitor the performance of all the major KPIs and understand why the results are the way they are. It's healthier for companies or business units if the decision-making is based on data. It is also important for maximizing your sales and revenue growth because you know who to prioritize within the sales pipeline, who is a loyal customer or a frequent buyer, etc.
It is a tool used to create a data integration infrastructure and data warehousing. Business users can integrate data from different applications or platforms and capture relevant information that is later stored in their own data lakes, where it is transformed and analyzed. It is difficult to extract meaningful information from Big Data, but these tools, which use multiple data pipelines and a user-friendly interface, help their users create accurate business intelligence.
Cloud-based applications are usually a reliable and cost-effective solution for business users. However, large enterprises with more complex requirements and better tech capabilities tend to develop their own in-house solutions that are specific to their business needs, as opposed to cloud integrations that aim to serve as many businesses as possible. Some of the most popular cloud data integration tools include Whatagraph, Jitterbit, Celigo, and SnapLogic.
Published on May 20, 2021
WRITTEN BYWhatagraph team
The Whatagraph blog team produces high-quality content on all things marketing: industry updates, how-to guides, and case studies.
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