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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Kamatera
Our comprehensive suite of cloud services allows you to build your cloud server your way. Kamatera’s infrastructure is specialized in VPS hosting. With 24 data centers around the world, including 8 in the US, as well as in Europe, Asia and the Middle East, you can choose from.
Our enterprise-grade cloud server can meet your requirements at any stage. We use cutting edge hardware, including Ice Lake Processors, NVMe SSDs, and other components, to deliver consistent performance and 99.95% uptime.
With a robust service such as ours, you'll get a lot of great features like fantastic hardware, flexible cloud setup, Windows server hosting, fully managed hosting and data security. We also offer consultation, server migration and disaster recovery.
We have a 24/7 live support team to assist you in all time zones.
With our flexible and predictable pricing plans, you only pay for the services you use.
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OpenText Migrate
OpenText Migrate provides a streamlined and secure way to move physical, virtual, and cloud workloads to or from any environment with near-zero downtime. Leveraging real-time, byte-level replication, the platform continuously duplicates source data efficiently, minimizing bandwidth use and maintaining user productivity during migration. It supports a wide variety of operating systems and cloud platforms such as AWS, Azure, and Google Cloud, offering complete flexibility. Automated configuration and management simplify complex migration steps and help avoid errors. OpenText Migrate ensures strong security with AES 256-bit encryption protecting data in transit. The solution’s cutover process is fast, repeatable, and easily reversible if needed. Users can also conduct unlimited non-disruptive test migrations to validate the new environment without affecting ongoing operations. This comprehensive approach helps organizations reduce costs, avoid vendor lock-in, and minimize migration risks.
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iceDQ
iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.
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