Business Software for IBM Cloud Object Storage

QuantaStor is a unified Software-Defined Storage platform designed to scale up and out to make storage management easy while reducing overall enterprise storage costs. With support for all major file, block, and object protocols including iSCSI/FC, NFS/SMB, and S3, QuantaStor storage grids may be configured to address the needs of complex workflows which span sites and datacenters. QuantaStor’s storage grid technology is a built-in federated management system which enables QuantaStor servers to be combined together to simplify management and automation via CLI and REST APIs. The layered architecture of QuantaStor provides solution engineers with unprecedented flexibility and application design options that maximizes workload performance and fault-tolerance for a wide range of storage workloads. QuantaStor includes end-to-end security coverage enabling multi-layer data protection “on the wire” and “at rest” for enterprise and cloud storage deployments.

Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.

RcloneView is a user-friendly GUI client for Rclone, designed to simplify cloud data management on Windows, Mac, and Linux. With its intuitive design, RcloneView enables users to manage, synchronize, and back up files across a wide range of cloud storage services, including Google Drive, Amazon S3, Dropbox, WebDAV, FTP, and more. The software simplifies the complexity of command-line operations, making it an accessible solution for both casual users and IT professionals. Key Features: • File Browsing: Easily manage files across cloud platforms with options to browse, copy, move, and delete. • Job Automation: Save and schedule sync tasks for streamlined workflows. • 1:N Syncing: Sync one source to multiple destinations in a single step. • Cloud Mounting: Mount cloud storage as local drives for seamless file management. • Multi-Window Management: Handle multiple Rclone connections simultaneously. • Transfer Tracking: Monitor file transfer progress and access detailed logs.

3 Drive connects to any standard S3 cloud data store, enabling you to work virtually with cloud files as if they are right on your local file system. Access, update, edit, and save files stored in any storage service compatible with the S3 API, such as: Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage, IBM Cloud Object Storage, MinIO, Backblaze B2, Wasabi, DigitalOcean, and more. S3 Drive adds a local cache layer on top of the S3 API, saving files locally and uploading them automatically - so you don’t have to upload and download files each time. Powerful Capabilities: - Store multiple connection profiles for a quick, convenient connection. - S3 Drive offers FIPS mode. - Run S3 Drive as a Windows service or desktop application. - Use S3 Drive as a Desktop application or from the command line. - S3 Drive supports Windows Arm64. - Available for Windows, Linux, and macOS. S3 Drive is trusted by the biggest technology companies in the world.

Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.

IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.

Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.

Always have the right data at the right place for the right cost. Store, protect, and manage your critical data with Tiger Bridge​. Tiger Bridge connects your data stored locally with cloud/tape/disk storage while preserving its native, non-proprietary format to ensure transparent access. Tiger Bridge is a software-only solution, no additional hardware or virtual appliances are required. Install & configuration take minutes and setting policies is straightforward. Tiger Bridge integrates at the level of your file system and/or network share. While your team is working, policies operate transparently in the background to replicate your data to your storage of choice. Optimize your investment in​ hardware through storage extension to the cloud based on a pay-as-you-go model. Designed to handle data sets of any size and optimize storage set-ups for the most demanding workflows, from post-production studios, and civil engineering companies to large medical facilities.

The easiest way to deploy OpenShift applications and watsonx. Fusion is available as two flexible options to support your hybrid cloud needs. Fusion HCI System provides a fully integrated, turnkey platform for running and maintaining all of your on-premises Red Hat OpenShift applications. Fusion software runs anywhere Red Hat OpenShift runs—on public cloud, on-premises, bare metal and virtual machines. Integrates hardware, Red Hat OpenShift and data services, eliminating compatibility issues and reducing setup time enabling you to get your containerized applications up and running in record time enabling faster innovation and reduced time-to-market. Simplifies infrastructure and data services for OpenShift applications by enabling platform engineers to centrally manage OpenShift, streamline operations, optimize resource utilization and reduce operational complexities and costs.

Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

You’re using log services. But your teams want cluster-level insight. Save time and gain deeper insight with the IBM® Log Analysis service. Get integrations to many cloud-native runtimes and environments. Get collection, log tailing and blazing fast log search. Get natural language query and search retention up to 30 days. Configure cluster-level logging for a Kubernetes cluster to get access to log types for worker, pod, application and network. Monitor this data from a wide range of sources. Monitor and manage Ubuntu logs in a centralized logging system on IBM Cloud®. DevOps can archive logs from an IBM Log Analysis instance. The logs are archived into a bucket in an IBM Cloud Object Storage instance. Aggregate all log data into a central location. Expect Pager Duty, Slack, webhooks and more. Supports more than 30 integrations and ingestion sources. Natural language query and pay-per-GB pricing.

Analyze key infrastructure performance metrics of your storage, SAN, and LAN devices. Optimize your mission-critical IT infrastructure. It provides a complete mapping overview through cloud, container, server virtualization, and database. Leading performance-monitoring solution thanks to unique web-based UI for graphical interpretation of performance utilization in a virtualized environment. You can find utilization of any attached storage in a simple graphical form comprehensible to anyone from technician to management level. Bring an easy solution to the market to improve the capacity planning of your highly virtualized environment with a simple and easily comprehensible UI. Stor2RRD provides performance, capacity, configuration, and status. Simply and quickly identify load abnormalities and locate problems at the infrastructure level.

Salesforce Data Cloud is a real-time data platform designed to unify and manage customer data from multiple sources across an organization, enabling a single, comprehensive view of each customer. It allows businesses to collect, harmonize, and analyze data in real time, creating a 360-degree customer profile that can be leveraged across Salesforce’s various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. This platform enables faster, more personalized customer interactions by integrating data from online and offline channels, including CRM data, transactional data, and third-party data sources. Salesforce Data Cloud also offers advanced AI gents and analytics capabilities, helping organizations gain deeper insights into customer behavior and predict future needs. By centralizing and refining data for actionable use, Salesforce Data Cloud supports enhanced customer experiences, targeted marketing, and efficient, data-driven decision-making across departments.

Azure Marketplace is a comprehensive online store that provides access to thousands of certified, ready-to-use software applications, services, and solutions from Microsoft and third-party vendors. It enables businesses to discover, purchase, and deploy software directly within the Azure cloud environment. The marketplace offers a wide range of products, including virtual machine images, AI and machine learning models, developer tools, security solutions, and industry-specific applications. With flexible pricing options like pay-as-you-go, free trials, and subscription models, Azure Marketplace simplifies the procurement process and centralizes billing through a single Azure invoice. It supports seamless integration with Azure services, enabling organizations to enhance their cloud infrastructure, streamline workflows, and accelerate digital transformation initiatives.

As a business leader, you need to trust your data and be 100% certain that it’s well-governed, compliant, and accurate. Including all data, in all sources, and in all locations, without limitations. Understand your data assets. Audit for risk, compliance, and quality in support of your project. Catalog a complete data inventory across all sources and data types, creating a shared understanding of your data assets. Run a one-time, fast, affordable, and accurate audit of your data. PCI, PII, and PHI audits are fast, accurate, and complete. As a service, with no software to purchase. Measure and audit data quality and data duplication across all of your enterprise data assets, cloud-native and on-premises. Comply with global data privacy regulations at scale. Discover, classify, track, trace and audit privacy compliance. Monitor PII/PCI/PHI data propagation and automate DSAR compliance processes.