It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms that data catalogs are an essential data management solution. Combining artificial intelligence and human skills, Data Catalogs provide a next-generation workspace for data teams to find, understand and collaborate on their data assets and usages.
In this article, we focus on the most-used data management solutions to which your enterprise can successfully collaborate with your data catalog software. These vendors have been repeatedly quoted by Gartner and used by many enterprises worldwide. We list the 5 main vendors in the following categories:
- Data Integration
- Data Preparation
- Data Visualization
- Data Governance
Let’s discover this list:
1. Data Integration Vendors
Data integration is the process of combining data from different sources, typically for analysis, business intelligence, reporting, or loading into an application. Data integration tools should be designed to transform, map, and clean data. They can also be integrated with data governance and data quality tools.
The top data integration vendors of 2020 include:
Informatica’s data integration tools portfolio includes both on-prem and cloud deployments. The vendor combines advanced hybrid integration and governance functionalities with self-service business access for various analytic functions. Informatica touts strong interoperability between its growing list of data management software products.
IBM offers several distinct data integration tools also both on-prem and cloud deployments, and for virtually every enterprise use case. Its on-prem data integration suite features tools for traditional and modern integration requirements. IBM also offers a variety of prebuilt functions and connectors. The mega-vendor’s cloud integration product is widely considered one of the best in the marketplace, and additional functionality is coming in the months ahead.
SAS is one of the largest independent vendor in the data integration tools market. The provider offers its core capabilities via SAS Data Management, where data integration and quality tools are interwoven. It includes query language support, metadata integration, push-down database processing, and various optimization capabilities.
SAP provides on-prem and cloud integration functionality through two main channels. Traditional capabilities are offered through SAP Data Services, a data management platform that provides capabilities for data integration, quality, and cleansing. Integration Platform as a Service features are available through the SAP Cloud Platform.
Oracle offers a full spectrum of data integration tools for traditional use cases as well as modern ones, in both on-prem and cloud deployments. The company’s product portfolio features technologies and services that allow organizations to full lifecycle data movement and enrichment.
2. Data Preparation Vendors
As defined in our last article on data preparation, is the process of gathering, combining, structuring and organizing data so it can be analyzed as part of data visualization, analytics and machine learning applications. In other words, it is the process of cleaning and transforming raw data prior to analysis.
The top data preparation vendors of 2020 include:
Alteryx Designer features an intuitive user interface that enables users to connect and cleanse data from data warehouses, cloud applications, spreadsheets, and other sources. Users can leverage data quality, integration and transformation features as well.
Talend Data Preparation utilizes machine learning algorithms for standardization, cleansing, and pattern recognition. The product also provides automated recommendations to guide users through the data preparation process.
Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises scale data science operations across the lifecycle–simplifying the process of experimentation to deployment, speeding up data exploration and preparation, as well as model development and training.
Tableau Prep empowers more people to get to analysis faster by helping them quickly and confidently combine, shape, and clean their data. A direct and visual experience gives customers a deeper understanding of their data and smart features make data preparation simple.
Trifacta has been ranked as the top vendor in every analyst report published on data preparation to date. A self-service data preparation tool, Trifacta empowers all users, technical or non-technical, to clean & prepare their data efficiently.
3. Data Visualization Vendors
Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form.
The top data visualization vendors of 2020 include:
Tableau is a data visualization tool that can be used by data analysts, scientists, statisticians, etc. to visualize the data and get a clear opinion based on the data analysis. Tableau is known for being able to take in data and produce the required data visualization output in a very short time. And it can do this while providing the highest level of security with a guarantee to handle security issues as soon as they arise or are found by users.
Looker data visualization can go in-depth in the data and analyze it to obtain useful insights. It provides real-time dashboards of the data for more in-depth analysis so that businesses can make instant decisions based on the data visualizations obtained. Looker also provides connections with Redshift, Snowflake, BigQuery, as well as more than 50 SQL supported dialects so you can connect to multiple databases without any issues.
Zoho Analytics helps you create wonderful looking data visualizations based on your data in a few minutes. You can obtain data from multiple sources and mesh it together to create multidimensional data visualizations that allow you to view your business data across departments. In case you have any questions, you can use Zia which is a smart assistant created using artificial intelligence, machine learning, and natural language processing.
Sisense provides various tools that allow data analysts to simplify complex data and obtain insights for their organization and outsiders. The solution tries its best to provide various data analytics tools to business teams and data analytics so that they can help make their companies the data-driven companies of the future.
IBM Cognos Analytics is an Artificial Intelligence-based business intelligence platform that supports data analytics. You can visualize as well as analyze your data and share actionable insights with anyone in your organization. Even if you have limited or no knowledge about data analytics, you can use IBM Cognos Analytics easily as it interprets the data for you and presents you with actionable insights in plain language.
4. Data Governance Vendors
We like to define data governance as an exercise of authority over decision-making power (planning, surveillance, and enforcement of rules) and the controls on data management.
In other words, it allows the clear documentation of the different roles and responsibilities around data as well as determining the procedures and the tools supporting data management within an organization.
Cloudera Data Platform (CDP) combines the best of Hortonworks’ and Cloudera’s technologies to deliver the industry’s first enterprise data cloud. CDP delivers powerful self-service analytics across hybrid and multi-cloud environments, along with sophisticated and granular security and governance policies that IT and data leaders demand.
Stealthbits’ Data Access Governance solution discovers where your data lives and then classifies, monitors, and remediates the conditions that make managing data access so difficult in the first place. The result is effective governance that promotes security, compliance, and operational efficiency.
Varonis gives you the enterprise-wide visibility you need for effective discovery, auditing, and compliance reporting across a wide variety of regulatory standards. It quickly and accurately classifies sensitive, regulated information stored in on-premises and cloud data stores. Their classification engine prioritizes scans based on risk & exposure to give you actionable results quickly, no matter how much data you have.
Informatica provides a quick fix for compliance and data governance which can be implemented on-premise or in the cloud. It offers strong visualization of data lineage and history, master data dashboards for proactive monitoring of data quality and dynamic masking for data security. It also provides the functionality to detect and protect sensitive customer data, managing GDPR data risks, and ensuring contact information is current, accurate and complete.
Our data catalog centralizes all data knowledge in a single and easy-to-use interface. Automatically imported, generated, or added by the administrator, data specialists are able to enrich their data assets documentation directly within our tool.
Give meaning to your data thanks to metadata!
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