Best Data Management Software for Chef

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

StrongDM is a People-First Access platform that gives technical staff a direct route to the critical infrastructure they need to be their most productive. End users enjoy fast, intuitive, and auditable access to the resources they need, and administrators leverage simplified workflows to enhance security and compliance postures. - We open up a clear, direct path that gives individualized access to the right people and keeps everyone else out. - Total visibility into everything that’s ever happened in your stack. Security and Compliance teams can easily answer who did what, where, and when. - Admins have precise control over what each user has access to—without these controls ever getting in the way of productivity - IT, InfoSec, and Administrators have precise controls. Unauthorized access is eliminated because users never see resources they don’t have permission to use. -All past, present, and future infrastructure is supported - Responsive 24/7/365 customer support.

Turn data into answers with Splunk deployed and managed securely, reliably and scalably as a service. With your IT backend managed by our Splunk experts, you can focus on acting on your data. Splunk-provisioned and managed infrastructure delivers a turnkey, cloud-based data analytics solution. Go live in as little as two days. Managed software upgrades ensure you always have the latest functionality. Tap into the value of your data in days with fewer requirements to turn data into action. Splunk Cloud meets the FedRAMP security standards, and helps U.S. federal agencies and their partners drive confident decisions and decisive actions at mission speeds. Drive productivity and contextual insights with Splunk’s mobile apps, augmented reality and natural language capabilities. Extend the utility of your Splunk solutions to any location with a simple phrase or the tap of a finger. From infrastructure management to data compliance, Splunk Cloud is built to scale.

ClusterControl is a hybrid, multi-cloud database ops orchestration platform for MongoDB, Elasticsearch, Redis, TimescaleDB, SQL Server on Linux, Galera Cluster, PostgreSQL, and MySQL in on-premises, cloud, and hybrid environments. It handles full-lifecycle operations, from deployment to failover, backup and more. With its full suite of databases, ops features and ability to be deployed in any environment, it enables organizations to implement the Sovereign DBaaS concept. ClusterControl is perfect for organizations that need to reliably run large-scale, open-source database operations but don't want to be limited by traditional DBaaS providers in environment choice, open-source license stability, and DB access.

End-to-end “Business Intelligence” for your IT organization. Promoting transparency, control, and productivity across environments, release and data. Promote scaled agility across your IT fabric. A complete environment and release picture supporting collaboration across teams and providing the insight that organizations require today to drive competitive innovation. Improve visibility of your complex IT fabric allowing better collaboration and decision making. Manage complex computer systems & the end-to-end IT fabric through a centralized portal. Measure test environment usage to reduce IT spend and increase project productivity. Eliminate chaotic and non-repeatable operations by establishing control via centralized runbooks and using automation on regular & time consuming tasks. Manage change and contention effectively whilst providing real time health status and powerful analytics to determine business impact.

Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions.

Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.