Data exchange is a cooperative information-sharing effort between funding organizations and organizations that enables them to discover more sensible and effective ways to improve service delivery and overall results. Due to their availability, selecting efficient data-sharing platforms to enhance your organization’s performance may be challenging.
Top Data Exchange Tools
1. Harbr Enterprise Data Exchange
By integrating with your current data technology stack, Harbr Enterprise Data Exchange allows you to grow your investments in data lakes, warehouses, catalogs, and data science and analytical tools. Data may be transformed into self-service solutions by Harbr that can be securely shared and worked on, giving you fresh insights, better decision-making, and the ability to monetize your data.
2. Eight Wire
Eight Wire makes it possible for businesses to share data by automating the countless tasks that would otherwise be done manually. We are designed from the ground up to meet security and privacy requirements, allowing you to get the data you need while also adhering to legal requirements.
3. Cleo
Cleo is a reliable platform for data exchange that has given hundreds of customers useful services. Based on their significant knowledge, Cleo offers to provide its clients with rich data exchange services that can help businesses expand their brands.
4. iGrant.io
A trustworthy and open data-sharing economy is made possible by the cloud-based personal data exchange and consents mediation platform known as iGrant.io. It makes it possible for private and public businesses to capitalize on the value of personal data while still adhering to legal requirements and protecting users’ privacy. It enables enterprises to monetize their personal data assets while minimizing the cost of regulatory compliance.
5. Unisys Data Exchange
An ETL system called Unisys Data Exchange is used to extract, process, and load data between Unisys’ own proprietary data stores and generic data stores. Data Exchange lessens the load on the online transaction processing environment by enabling quick data access for business process integration and decision support. Effective reporting, business intelligence, and broad data activities make the seamless integration of operational data between applications.
6. X-ROAD
Organizations can exchange data regularly and securely with the help of the open-source software and ecosystem solution known as X-ROAD. The X-Road data exchange layer gives service providers a completely new method to appear in services targeted at individuals, businesses, and government workers. It is standardized, cohesive, collaborative, interoperable, and secure. Entities that incorporate several services and data sources can be easily and cheaply created.
7. Eureka Cloud Data Exchange
A low-cost, cloud-based integration tool called Eureka Cloud Data Exchange has ready-to-use, intelligent plugins for integrating well-known Ecommerce, Accounting, ERP, and CRM platforms. By automatically transferring data such as Sales Orders, Payments, Customers, and Stock Levels depending on specified criteria, Eureka helps businesses of all sizes minimize data entry duplication and errors.
8. Dataswift.io
Dataswift.io gives it a competitive advantage by enabling businesses to operate scalable data ecosystems that will shape the future of their sector and support their expansion. The technology behind the tool benefits people, companies, and developers since it makes data interoperability and mobility possible across all geographical borders. This opens the door to the creation of massive global data ecosystems in fields like tourism, banking, health, and human development.
9. Narrative.io
The world’s most well-known data commerce platform, Narrative.io, makes it simple and quick to buy and sell data. Without wasting time or money, Narrative makes it simple to set up, manage, and scale your data business. Filters, financial constraints, and automatic deduplication ensure that you only ever pay for the data you require.
10. Explorium.ai
We can quickly and accurately assess credit risks because to the information provided by Explorium.ai, which ultimately helps the company’s bottom line. Explorium informs you which data sources and features will produce the best model uplifts in addition to enriching data in real-time. The Explorium Prediction Engine develops an ideal feature set, enriches your data with augmented data discovery, and creates models with quantifiable business impact.
11. Snowflake Data Exchange
You can exchange information about snowflakes using the Snowflake Data Exchange service. The expenses and effort involved with conventional ETL data entry and transformation processes are eliminated by direct, secure, and restricted access to ready-to-query data sets from your Snowflake account. For data scientists, business intelligence and analytics professionals, and anybody who wants to make data-driven decisions, it offers access to more than 1100 live and ready-to-query data sets from more than 240 third-party data sources and data service providers.
12. Informatica
The comprehensive data aggregation, exchange, and sharing administration and monitoring environment is provided by the Informatica Data Exchange product line. For unstructured data, industry-standard data, XML, and a number of proprietary formats, it allows universal data translation.
13. OptInsight
You can have efficient, safe, and legal communication with medical providers thanks to OptInsight. The outcomes and insights you produce are automatically saved and can be utilized to assist you in communicating with the target audience.
14. Spring Labs
Spring Labs enables parties to exchange private data while maintaining the privacy of the underlying information. Financial organizations and sectors including healthcare and media can use Spring’s ad measurement services. P2P, Spring, and white-labelled hosting are available options.
15. Weld
Weld is a data exchange platform that complies with SOC 2 Type II standards and offers millions of users simple data exchange options. Weld eliminates the need for many tools, large data teams, and specialized scripts.
Things to Consider When Choosing a Data Exchange Tools
Data Complexity
When the data entity to be transferred has many linked aspects or the precise components are unknown in advance, i.e., the required data items vary on an ad-hoc basis, direct database access may be the most efficient strategy.
Frequency of data update
A complete dataset replacement via file transfer or direct database access can be expensive. If the data set is often updated, these issues are exacerbated (and the number of updates is enormous). Because they handle transactional updates more easily and prevent ongoing mass resynchronization, APIs and messaging system techniques are probably better choices in this situation.
Data set size
Massive data transfers frequently need the use of a file transfer or a direct database connection due to performance considerations. While there are ways to increase performance when sharing big amounts of data or many large messages using REST or equivalent APIs, other approaches are frequently preferable.
Conclusion:
Because selecting a crucial product like data exchange software can be challenging, we took the effort to compile a list of all widely used data exchange platforms. We think you managed to select one that aligns with your business’s goals.
FAQs
What is Data Exchange?
Data exchange is the process of sending and receiving data while ensuring that the information included or the meaning attached to the data is not altered during transmission. It makes it easier for various parties to share data. It gives you access to data segments from all over the world so you can learn more about your target market in-depth.
In order to enhance your marketing campaigns, make wiser advertising judgments, and advance data-driven marketing operations, these platforms, for instance, give you access to millions of audience segments and diverse datasets.
What Are Data Exchange Tools?
The most cutting-edge platform for distributing, sourcing, exchanging, sharing, and commercializing data as well as orchestrating data ecosystems to create potent data partnerships is called a Data ExchangeTools.
It addresses the legal, technical, security, and compliance requirements to enforce existing and upcoming data policies and frameworks.
When Should You Consider Using Data Exchange Tools?
Every tool a business uses in everyday operations has a big impact on how well it does overall. Data interchange is an essential instrument that businesses should implement as soon as possible.
What is ETL?
The acronym ETL, which stands for Extract, Transform, and Load, describes the three steps used to merge data from different sources. It is widely employed when building a data warehouse. Throughout this process, data is obtained (extracted) from a source system, transformed (transformed), and put (loaded) into a data warehouse or other system.
A distinct but related strategy for shifting processing to the database for increased performance is called ELT (extract, load, transform).
What are the benefits of data exchange?
Using data exchange, you may control and oversee data access internally and externally with partners, clients, or suppliers.
- Managing membership
- Granting and revoking access to data through the firm’s preferences.
- Data usage auditing
- Puts security controls in place for your data.
