IBM InfoSphere Information Server Description
Rapidly establish cloud environments tailored for spontaneous development, testing, and enhanced productivity for IT and business personnel. Mitigate the risks and expenses associated with managing your data lake by adopting robust data governance practices that include comprehensive end-to-end data lineage for business users. Achieve greater cost efficiency by providing clean, reliable, and timely data for your data lakes, data warehouses, or big data initiatives, while also consolidating applications and phasing out legacy databases. Benefit from automatic schema propagation to accelerate job creation, implement type-ahead search features, and maintain backward compatibility, all while following a design that allows for execution across varied platforms. Develop data integration workflows and enforce governance and quality standards through an intuitive design that identifies and recommends usage trends, thus enhancing user experience. Furthermore, boost visibility and information governance by facilitating complete and authoritative insights into data, backed by proof of lineage and quality, ensuring that stakeholders can make informed decisions based on accurate information. With these strategies in place, organizations can foster a more agile and data-driven culture.
IBM InfoSphere Information Server Alternatives
AWS Glue
AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Data Virtuality
Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.
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SAS Federation Server
Establish federated source data identifiers to allow users to connect to various data sources seamlessly. Utilize a web-based administrative console to streamline the management of user access, privileges, and authorizations for easier oversight. Incorporate data quality enhancements such as match-code generation and parsing functions within the view to ensure high-quality data. Enhance performance through the use of in-memory data caches and efficient scheduling methods. Protect sensitive information with robust data masking and encryption techniques. This approach keeps application queries up-to-date and readily accessible to users while alleviating the burden on operational systems. You can set access permissions at multiple levels, including catalog, schema, table, column, and row, allowing for tailored security measures. The advanced capabilities for data masking and encryption provide the ability to control not just who can see your data but also the specific details they can access, thereby significantly reducing the risk of sensitive information being compromised. Ultimately, these features work together to create a secure and efficient data management environment.
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Pricing
Pricing Starts At:
$16,500 per month
Integrations
Company Details
Company:
IBM
Year Founded:
1911
Headquarters:
United States
Website:
www.ibm.com/products/infosphere-information-server-enterprise
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support
IBM InfoSphere Information Server Features and Options
Data Governance Software
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
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