Cloud Data Integration Tools – Let’s face it: inaccurate data affects your company’s bottom line. In fact, 77% of companies think that inaccurate and incomplete data affects their results, wasting 12% of their revenue.
Data integration tools help maintain data quality by making the most of increasing amounts of data. Organizations now consider these tools extremely important for data management, provisioning and overall data management. Additionally, given the speed at which data is currently changing, businesses are increasingly relying on data integration.
Cloud Data Integration Tools
However, this also presented businesses with a very tough situation. They don’t know which data integration tool they should use. In this blog, we’ll compare on-premises and cloud data integration tools to help you choose the right one for your business.
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Local data integration requires a business to purchase a software license to use it. You can host and store it at your company’s physical office rather than hosting it through a third party. Therefore, local software is provided under the direct control of your company.
Cloud data integration software is hosted on the vendor’s servers and accessed through a web browser. So the third party provider is responsible for managing everything and you don’t need to install any software on your systems.
On-premises: In this environment, all resources are hosted within the company’s IT infrastructure. ETL offers maintenance updates, but you can also purchase new software for annual renewal fees. So you only need to pay the “hardware” costs.
Cloud: In cloud-based ETL tools, the resources are hosted on the premises of the service provider. The basic version of a cloud-based tool can be economical, but when you need to add an extraction service or a virtualization layer, you will have to pay a subscription for all the additional features, increasing the cost significantly. Therefore, cloud tools are mainly used for data cleaning and faster solutions that do not require many permissions.
Cloud Data Lake House
On-premises: Unlike cloud-based ETL tools, which require a subscription for every new feature you want to access, the cost of on-premises software is a one-time cost.
Cloud: Businesses using cloud-based tools only pay for the resources they use. However, costs increase significantly when you need to add new connectors or use other features of cloud ETL tools.
The bottom line: Since on-premise ETL software is installed in-house, you have complete control over security and customization. Moreover, with software, you can perform hundreds of tasks at the same time, which a cloud solution cannot. Also, local software is faster than cloud software because the data is first sent to the manufacturer’s server and then restored in another format.
Cloud: Data ownership in a cloud-based environment is highly suspect and a concern that few companies struggle with. Since the encryption keys and data reside with a third-party provider, it will be difficult to access the data if something unexpected happens.
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On premise: Chosen by businesses that want to store their data and require a certain level of privacy and security. These businesses have additional sensitive information, including government and banking industries.
Cloud: Security is a major concern that remains a major barrier to cloud-based ETL deployment. The enterprise as well as the vendor must comply with privacy laws such as GDPR and CCPA, which severely restrict the type of data that can be used in cloud data integration. Cloud tools are vulnerable to data breaches and loss of intellectual property, leading to costly litigation.
The bottom line: These tools can be accessed remotely, but often require third-party connectors to communicate between the mobile device and the tool.
Cloud: Cloud offers greater mobility and flexibility. Many cloud-based ETL tools provide easy mobile accessibility, and some even offer native mobile apps. But with this ease of access comes greater security issues, especially when employees access company files on their mobile devices.
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On-premises: Compliance is easier with an on-premises data integration solution because all data is stored in-house. Having their data in place makes it easier for businesses to comply with industry and government regulations.
Cloud: Compliance is difficult to achieve when an enterprise uses a cloud-based Data Integration Solution, as the company must ensure that its service provider meets the required mandates within the specific industry.
Astera Centerprise’s Data Integration Solution enables its users to deploy data integration software on-premises and in the private cloud. Read more about it here.
In terms of deployment, cost, control and security, on-premise software is clearly better for businesses than cloud-based tools. The main advantage of cloud integration software is mobility and easy access through personal devices. On-premises software is also easier to comply with than cloud tools, which must rely on a service provider that meets regulatory standards.
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Astera Centerprise is a powerful data integration tool that can be deployed quickly on-premises. It provides all the features you need to launch your data integration project, connect disparate data sources, and create a unified view of your company’s data assets.
Sharjeel loves writing about all things data integration, data management and ETL processes. In his spare time, he’s on the road or working on some cool project. Data integration is important to a business for two reasons. The first is that data integration allows for more meaningful insights to be gained from data when it can be viewed in one place. Second, data integration helps promote data privacy by organizing all data in a coherent and consistent manner. This organization allows for easier traceability to immediately remedy any disruptive force or security breach.
According to Aloom, data integration is defined as “the process of combining data from different sources with the goal of providing a unified view of the combined data.”
Typically, this process is automated using a data integration tool. In this section, you’ll learn how data integration tools work and get an overview of the main data integration tools used in today’s industries.
Big Data Integration Tools
Data integration tools are also known as Data Integration Platforms. These platforms consist of a system of technologies that allow collecting data from multiple sources and then sorting that data. They also change the data to be uniform; it creates a reciprocal relationship.
The primary goal of a data integration platform is to centralize data so that data can be accessed more easily, used more efficiently, and all data management processes flow more efficiently. IT professionals within the enterprise are typically responsible for the use and monitoring of these platforms.
Data integration tools play an important role in ongoing data management, so it’s important to be selective when it comes to the tools you use. There are four main data integration tools that you can choose from.
Proprietary data integration tools are typically built to meet the specific data management needs of an enterprise category. These tools are sold as commercial products and the source code is closed, so there is no chance that someone inside the corporation will do any modification. These tools must be purchased and are usually the most expensive option. The advantage of this type of data integration tool is that they are completely ready to use and often include support and service for the duration of the license.
Sap Etl & Data Integration
Open source data integration tools are a free alternative to proprietary tools. The source code can be downloaded, used and edited to suit your individual business needs. The main disadvantage of this type of tool is that development is always ongoing. Over time, the community of developers using the software create critical things like updates, bug fixes, and tool improvements. There is no training or support for open source software. The main attraction of this option is that there is no cost to the end user.
On-premises data integration tools are similar to proprietary tools in that they are purchased and usually include support and service. However, instead of being a licensed program available for download, they are installed directly on a local network or sometimes in a private cloud. The main disadvantage of this type of tool is that all the data must also be local.
Cloud-based data integration platforms are becoming more popular because they offer the same functionality at a lower cost than other types of tools. This type of tool also allows for faster integration of data from different sources or locations. This model allows tools to be purchased as needed and can also reduce system maintenance requirements across the enterprise.
When trying to decide which data integration tool to use, there are a number of factors to consider. Here are some great questions to ask yourself to help you make this decision:
Top 20 Cloud Data Integration Tools
Now you know what types of tools are available and you have a starting point for choosing data integration
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