Best IT Management Software for DashboardFox

Find and compare the best IT Management software for DashboardFox in 2024

Use the comparison tool below to compare the top IT Management software for DashboardFox on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Amazon Athena Reviews
    Amazon Athena allows you to easily analyze data in Amazon S3 with standard SQL. Athena is serverless so there is no infrastructure to maintain and you only pay for the queries you run. Athena is simple to use. Simply point to your data in Amazon S3 and define the schema. Then, you can query standard SQL. Most results are delivered in a matter of seconds. Athena makes it easy to prepare your data for analysis without the need for complicated ETL jobs. Anyone with SQL skills can quickly analyze large-scale data sets. Athena integrates with AWS Glue Data Catalog out-of-the box. This allows you to create a unified metadata repositorie across multiple services, crawl data sources and discover schemas. You can also populate your Catalog by adding new and modified partition and table definitions. Schema versioning is possible.
  • 2
    Amazon RDS Reviews
    Amazon Relational Database Service (Amazon RDS), makes it easy to create, manage, and scale a cloud-based relational database. It offers a cost-efficient, resizable storage capacity and automates time-consuming admin tasks like database setup, patching, backups, and hardware provisioning. It allows you to concentrate on your applications, so they can provide the high performance, security, compatibility, and high availability that they require. Amazon RDS can be used on several database instance types, optimized for memory, performance, or I/O. It offers six familiar database engines to choose, including PostgreSQL and MySQL, MariaDB, Oracle Database and SQL Server. To easily replicate or migrate your existing databases to Amazon RDS, you can use the AWS Database Migration Service.
  • 3
    Amazon Aurora Reviews
    Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.
  • 4
    ServiceNow Reviews

    ServiceNow

    ServiceNow

    $100 per month
    1 Rating
    Digitize your workflows and they will love you for it. Your company will be more productive and your employees more engaged. ServiceNow makes work more enjoyable for employees. ServiceNow transforms old, manual ways to work into modern digital workflows so customers and employees get what they need when they need it. It's fast, simple, and easy. ServiceNow provides digital workflows that deliver great experiences and increase productivity for employees and enterprises. ServiceNow simplifies the complexity of work with a single enterprise cloud platform. The Now Platform: An intelligent, intuitive cloud platform that allows you to work smarter. You can choose from our workflows, or create your own apps. Our product portfolio is built on the Now Platform and delivers the IT, Employee, Customer, and Customer Workflows that matter. We also offer enterprise solutions to help you drive every aspect of your digital transformation. Get the amazing experiences you desire and unlock the productivity that you need. Now, native mobile capabilities are available for every day work across the enterprise.
  • 5
    Rackspace Cloud Files Reviews
    Cloud Files is an online storage service for files and media. It delivers them worldwide at lightning speeds via a global content delivery network (CDN). You can store as many files you like, even very large files. Our CDN is tightly integrated and easy to use. It can distribute your public content (images, video and audio, as well as HTML, JavaScript and cascading styling sheets) to hundreds of edge locations around the world, so it's easily accessible for your users. Your users will get their content quicker if there is less distance to travel. Cloud Files can be integrated with a variety 3rd party tools for object storage such as Cyberduck and Jungle Disk. Cloud Files is ideal for non-dynamic web hosting. Cloud Files allows you to host static websites like blogs, brochure sites, or small company sites. Cloud Files also includes a global CDN. Your media files will be available to the world when you enable a CDN container. This will give you a web-ready URL you can share with anyone. CDN speeds up the delivery of your content.
  • 6
    Dremio Reviews
    Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.
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