Cloud data management is organizing, controlling, and securing the data that is moved to or accessed in the cloud. It involves the creation of a data plan, defining data policies, refining security parameters, and implementing mechanisms to ensure that the data is appropriately used and remains compliant.
Many different cloud data management solutions are available on the market, and deciding which is right for your business can be challenging. Researchers believe that in 2023 companies will continue to leverage cloud data management services to access new and innovative technologies. The tech enables geographical dispersion, allows greater efficiency in company operations and initiatives, and empowers businesses to reach new levels of technological innovation.
This article will review the best cloud data management solutions in 2023 and discuss their features and benefits.
Nextcloud is an enterprise cloud storage solution with multiple add-ons that create a unique ecosystem for business operations. In addition, it is open-source and has comprehensive support options.
Nextcloud is functionally similar to Dropbox, Office 365, or Google Drive when used with its integrated office suites Collabora Online or OnlyOffice. It can be hosted in the cloud or on-premises and is highly scalable, from basic home-based office solutions to complete data center solutions that support millions of users.
Nextcloud is a module application, which means that countless plugins are available to customize it to your requirements. Popular plugins include browser-based editors, cloud service integrations, web analytics, and featured media viewers.
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With Tableau, you can quickly and easily find actionable insights from any data source. Users can simply drag and drop from almost any source to create custom formulas and visualize and slice/dice data. In addition, Tableau business services offer training services, insights, and strategies, and the unparalleled community of Tableau experts is available and keen to offer help, making your data work for you.
With role-based licensing, Tableau enables users of all skill levels to interact with data in the same intuitive and accessible way. With augmented analytics insights, Tableau helps anyone needing data to uncover insights faster—data scientists, business users, and data engineers.
Customers use Tableau to work with their data at an intellectual level. Tableau helps turn insight into action, reduce analysis time, and enhance behaviors that inform everyone in the business.
Wasabi is a cloud-based object storage service developed for individuals and organizations that need a substitute for cloud storage and requires a high-performance, reliable, and secure data storage infrastructure.
HotCloud allows you to protect and manage data at any stage automatically. This tool uses automated techniques to protect data and respond in real time when it detects a potential error. It is suitable for any external and internal cloud setup because it uses a REST API such as those at Alibaba, Amazon, Google, Microsoft, and Atlantic.Net.
HotCloud helps guarantee security by discovering, removing, and preventing errors with the cloud object analyzer. In addition, it connects tracking information to help you and your team keep up with the status of your data, regardless of the number of records or objects in the cloud data set.
Created in 2012, Snowflake is a fully managed SaaS tool that centralizes data warehousing, data lakes, data engineering, data science, and data application development on any of the leading public and private clouds.
The tool works equally well on a single server in the cloud as in a deployment spanning hundreds of servers and hundreds of terabytes of data. Snowflake’s unique selling point comes from its layered architecture. At the base is the Database Storage layer, where Snowflake stores data loaded into the platform.
The Compute layer is made up of multiple node clusters. At each data warehouse, any data loaded does not compete for the same resources. In addition, Snowflake uses a common language, SQL, to interact with the Snowflake technical architecture.
Hortonworks Data Platform
Hortonworks HDP is the only open-source project on our list. This is an alternative to Apache Hadoop focused on Apache Spark and Apache Pheonix. Hortonworkds is now owned by Cloudera, focusing on a massively scalable cluster computing engine that processes large data flow at scale.
The open-source community created an industry with HDP, enabling the world’s largest enterprises to transform their organizations and entire sectors using data streaming. HDP includes the open-source toolset, and the project aims to use data science to advance relevant programs, devices, and systems.
IBM Netezza is one of the most commonly known options for Business Intelligence, operational analytics, and cloud data management solutions. It uses data warehousing, ETL processing, analytical services, and Netezza’s newest feature, Query Optimizer, which solves the problem of “dimensional growth” in your data.
Netezza also has a proprietary SQL language called DynaSQL. DynaSQL supports views, triggers, partitioning, asynchronous processing, global variables, stored procedures, native concurrency support, triggers, and Oracle Synchronization, among other features.
As we rapidly approach 2023, researchers believe that cloud services will continue to be leveraged by companies to access new and innovative data management technologies.
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