Best Data Management Software for IBM Cloud Object Storage

QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.

IBM Analytics Engine is an architecture for Hadoop clusters that separates the compute and storage layers. Instead of a permanent cluster of dual-purpose nodes the Analytics Engine allows users store data in an object storage layer like IBM Cloud Object Storage. It also spins up clusters with computing notes as needed. The flexibility, scalability, and maintainability of big-data analytics platforms can be improved by separating compute from storage. With the Apache Hadoop and Apache Spark ecosystems, you can build an ODPi-compliant stack that includes cutting-edge data science tools. Define clusters according to your application's needs. Select the appropriate software pack, version, size, and type of cluster. You can use the cluster for as long as you need and then delete it as soon as the job is finished. Create clusters using third-party packages and analytics libraries. Use IBM Cloud services to deploy workloads such as machine learning.

Interactive querying that is serverless for analyzing data stored in IBM Cloud Object Storage. You can query your data right where it is stored - there are no ETL, databases or infrastructure to manage.

Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.

Tiger Bridge allows you to store, protect and manage your critical data. Tiger Bridge allows you to store, protect and manage your important data. Tiger Bridge connects data locally stored with cloud/tape/disk/disk storage, while preserving the native, nonproprietary format for transparent access. Tiger Bridge is a pure software solution. No additional hardware or virtual appliances will be required. Installation and configuration takes only minutes, and setting up policies is simple. Tiger Bridge integrates with your file system or network share. While your team works, policies work transparently in the backround to replicate your data into your storage of choice. Pay-as you-go storage extensions to the cloud can optimize your hardware investment. Designed to handle large data sets and optimize storage setups for the most demanding workflows. From post-production studios to civil engineering companies and large medical facilities.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

As a leader in business, you must be able to trust your data, and be 100 percent certain that they are accurate, well-governed and compliant. Include all data from all sources and all locations without limitation. Understanding your data assets. Audit your project for quality, compliance and risk. Catalogue a complete inventory of data across all data types and sources, creating a shared understanding about your data assets. Conduct a fast, accurate, and affordable audit of your data. PCI, PII and PHI audits can be completed quickly, accurately and completely. No software to buy, as a service. Measure and audit the data quality and duplication of data across all your enterprise data assets - cloud-native or on-premises. Ensure compliance with global data privacy laws at scale. Discover, classify and audit privacy compliance. Monitor PII/PCI/PHI and automate DSAR processes.

Salesforce Data Cloud is an online data platform that allows businesses to collect, harmonize, and analyze data in real time. This creates a 360-degree customer profile which can be used across Salesforce's various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. It allows businesses collect, harmonize and analyze data in real-time, creating a 360° customer profile that can then be used across Salesforce's different applications, including Marketing Cloud, Sales Cloud and Service Cloud. This platform allows for faster, more personal customer interactions through the integration of data from online and off-line channels, such as CRM data, transactional information, and third-party sources. Salesforce Data Cloud offers advanced AI and analytics capabilities that help organizations gain deeper insight into customer behavior, and predict future needs. Salesforce Data Cloud helps improve customer experiences, target marketing, and data-driven decision making across departments by centralizing and refining the data.