Best On-Premise Data Management Software - Page 10

A single-source Data Governance solution delivering actionable data intelligence to empower strategic decisions around data reduction, compliance, and journey to the cloud. Classify360 enables enterprises to address their ROT (redundant, obsolete, trivial) data, PII, and risk data and apply policies to maintain compliance and to reduce their data sets – leading to smaller footprints and more efficient and compliant cloud migrations. Fully index and create a single view of your organization’s data from varied and growing data sets. Identify data at the source location eliminating the burden, cost, and risk of managing additional copies. Unlock data identification at petabyte scale across all of your on-prem and cloud data sources.

Infobright DB is a high-performance enterprise database leveraging a columnar storage engine to enable business analysts to dissect data efficiently and more quickly obtain reports. InfoBright DB can be deployed on-premise or in the cloud. Store & analyze big data for interactive business intelligence and complex queries. Improve query performance, reduce storage cost and increase overall efficiency in business analytics and reporting. Easily store up to several hundred TB of data — traditionally not achievable with conventional databases. Run big data applications and eliminate indexing and partitioning — with zero administrative overhead. With the volumes of machine data exploding, IgniteTech’s Infobright DB is specifically designed to achieve high performance for large volumes of machine-generated data. Manage a complex ad hoc analytic environments without the database administration required by other products.

IBM Storage Protect is a data backup and recovery software. Storage Protect is part of the software defined storage products in the IBM Storage portfolio. For backup and recovery of SaaS applications, see Storage Protect for Cloud. IBM Storage Protect (formerly IBM Spectrum Protect) provides comprehensive data resilience for physical file servers, virtual environments and a wide range of applications. Organizations can scale up to manage billions of objects per backup server. Clients can reduce backup infrastructure costs with built-in data efficiency capabilities and the ability to migrate or copy data to tape, public cloud services, and on-premises object storage. IBM Storage Protect can also store IBM Storage Protect Plus data, allowing companies to take advantage of their existing investment for long-term data retention and disaster recovery.

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

Seamlessly extend your on-premises environments into cloud. VMware HCX streamlines application migration, workload rebalancing and business continuity across data centers and clouds. Large-scale movement of workloads across any VMware platform. vSphere 5.0+ to any current vSphere version on cloud or modern data center. KVM and Hyper-V conversion to any current vSphere version. Support for VMware Cloud Foundation, VMware Cloud on AWS, Azure VMware Services and more. Choice of migration methodologies to meet your workload needs. Live large-scale HCX vMotion migration of 1000’s of VMs. Zero downtime migration to limit business disruption. Secure proxy for vMotion and replication traffic. Migration planning and visibility dashboard. Automated migration-aware routing with NSX for network connectivity. WAN optimized links for migration across Internet or WAN. High-throughput L2 extension. Advanced traffic engineering to optimize the application migration times.

Migrate data, applications and workloads to the cloud without downtime. Arcserve Live Migration was designed to eliminate disruption during your cloud transformation. Easily move data, applications and workloads to the cloud or target destination of your choice while keeping your business fully up and running. Remove complexity by orchestrating the cutover to the target destination. Manage the entire cloud migration process from a centralconsole. Arcserve Live Migration simplifies the process of migrating data, applications and workloads. Its highly flexible architecture enables you to move virtually any type of data or workload to cloud, on-premises or remote locations, such as the edge, with support for virtual, cloud and physical systems. Arcserve Live Migration automatically synchronizes files, databases, and applications on Windows and Linux systems with a second physical or virtual environment located on-premises, at a remote location, or in the cloud.

Data Migrator is one of Oracle Fusion Cloud PLM tools. It is an end to end fully automated solution which extracts, transforms, migrates and validates data from Agile PLM and other PLM solutions to Oracle Fusion Cloud PLM in a timely and efficient manner.

Oracle Exadata is the best place to run Oracle Database, simplifying digital transformations, increasing database performance, and reducing costs. Customers achieve higher availability, greater performance, and up to 40% lower cost with Oracle Exadata, as described in Wikibon’s analysis. Oracle Cloud Infrastructure, Oracle Cloud@Customer, and on-premises deployment options enable customers to modernize database infrastructure, move enterprise applications to the cloud, and rapidly implement digital transformations. Oracle Exadata allows customers to run Oracle Database with the same high performance, scale, and availability wherever needed. Workloads easily move between on-premises data centers, Cloud@Customer deployments, and Oracle Cloud Infrastructure, enabling customers to modernize operations and reduce costs.

Oracle Analytics Cloud provides the industry’s most comprehensive cloud analytics in a single unified platform, including everything from self-service visualization and powerful inline data preparation to enterprise reporting, advanced analytics, and self-learning analytics that deliver proactive insights. With support for more than 50 data sources and an extensible, open framework, Oracle Analytics Cloud gives you a complete, connected, collaborative platform that brings the power of data and analytics to every process, interaction, and decision in every environment – cloud, on-premises, desktop and data center. Preparing and cleansing your data is an important step before visualizing a data set. For example, the set might have sensitive data such as customers' social security numbers that you don't want to expose.

Drive smarter decisions with the ability to easily test and model complex business assumptions in the cloud or on-premises. Oracle Essbase gives organizations the power to rapidly generate insights from multidimensional data sets using what-if analysis, and data visualization tools. Quickly and easily forecast company and departmental performance. Develop and manage analytic applications by using business drivers to model multiple what-if scenarios. Manage workflow for multiple scenarios within a single user interface for centralized submissions and approvals. With sandboxing capabilities, quickly test and evaluate your models to determine the most appropriate model for production. Financial and business analysts can use more than 100 prebuilt, out-of-the-box mathematical functions that can be easily applied to derive new data.

IBM® InfoSphere® Data Replication provides log-based change data capture with transactional integrity to support big data integration and consolidation, warehousing and analytics initiatives at scale. It provides you the flexibility to replicate data between a variety of heterogeneous sources and targets. It also supports zero-downtime data migrations and upgrades. IBM InfoSphere Data Replication can also provide continuous availability to maintain database replicas in remote locations so that you can switch a workload to those replicas in seconds, not hours. Join the beta program to get a first look and offer input on the new on-premises-to-cloud and cloud-to-cloud data replication capabilities. See what makes you an ideal candidate for the beta program and what to expect. Sign up for the limited access IBM Data Replication beta program and collaborate with us on the new product direction.

Augment your cross-channel DLP with AI-powered classification. Proofpoint Intelligent Classification and Protection is an AI-powered approach to classifying your business-critical data. It recommends actions based on risk accelerating your enterprise DLP program. Our Intelligent Classification and Protection solution helps you understand your unstructured data in a fraction of the time required by legacy approaches. It categorizes a sample of your files using a pre-trained AI-model. And it does this across file repositories both in the cloud and on-premises. With our two-dimensional classification, you get the business context and confidentiality level you need to better protect your data in today’s hybrid world.

More data sources, more silos, more complexity, and constant change. Data architectures are challenged to keep pace—a big problem for today's data-driven organizations, and one that puts your business at risk. A data fabric is a modern distributed data architecture that includes shared data assets and optimized data fabric pipelines that you can use to address today's data challenges in a unified way. Optimized data management and integration capabilities so you can intelligently simplify, automate, and accelerate your data pipelines. Easy-to-deploy and adapt distributed data architecture that fits your complex, ever-changing technology landscape. Accelerate time to value by unlocking your distributed on-premises, cloud, and hybrid cloud data, no matter where it resides, and delivering it wherever it's needed at the pace of business.

The consumer datasphere’s huge growth over the past decade is now being overshadowed by exponential growth rates in business data. This presents unprecedented opportunities and challenges for enterprises and cloud service providers, requiring a fundamentally new approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric is our vision for the evolution of enterprise storage from traditional hardware appliances into elastic data center-scale pools of high-performance, highly reliable, low-cost digital storage with seamless data mobility within the data center and the public cloud. Today, enterprise technologists in every industry are facing a similar dilemma, thanks to the tsunami of digital transformation. Traditional hardware-based storage arrays are expensive, hard to manage, and orders of magnitude too small for the coming data age. They must, therefore, evolve into something new: softwaredefined on-premises enterprise storage clouds.

Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores—on-premises or cloud-based—Table storage lets you scale up without having to manually shard your dataset. Availability also isn’t a concern: using geo-redundant storage, stored data is replicated three times within a region—and an additional three times in another region, hundreds of miles away. Table storage is excellent for flexible datasets—web app user data, address books, device information, and other metadata—and lets you build cloud applications without locking down the data model to particular schemas. Because different rows in the same table can have a different structure—for example, order information in one row, and customer information in another—you can evolve your application and table schema without taking it offline. Table storage embraces a strong consistency model.

Today, organizations are typically storing unstructured data in file systems and increasingly in object and cloud storage. Cloud and object storage have numerous advantages, particularly with regard to inactive data. This leads to the requirement to migrate or replicate files (e.g. from legacy NAS) to cloud or object storage. More and more data is stored in cloud and object storage. This has created an underestimated security risk. In most cases, data stored in the cloud or in on-premises object storage is not backed up, as it is believed to be secure. This assumption is negligent and risky. High availability and redundancy as offered by cloud services and object storage products do not protect against human error, ransomware, malware, or technology failure. Thus, also cloud and object data need backup or replication, most appropriately on a separate storage technology, at a different location and in the original format as stored in the cloud and object storage.

SAP BW/4HANA is a packaged data warehouse based on SAP HANA. As the on-premise data warehouse layer of SAP’s Business Technology Platform, it allows you to consolidate data across the enterprise to get a consistent, agreed-upon view of your data. Streamline processes and support innovations with a single source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based. Transform data practices to gain the efficiency and agility to deploy live insights at scale, both on premise or in the cloud. Drive digitization across all lines of business with a Big Data warehouse, while leveraging digital business platform solutions from SAP.

A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use.

SylLab Systems is providing embedded compliance for enterprise data security. Privacy compliance and cybersecurity are expensive and difficult to implement, and many organizations get it wrong. Changes in the architecture, lawyers, consultants are a significant expenditure when facing privacy regulations (HIPAA, GDPR, PDPA, CCPA). Request a demo to learn more. Privacy Regulations are expanding beyond the current framework of IT infrastructure. Adapting to such a change is costly, time-consuming, and requires legal and development expertise. There is a better, more structured approach to data governance that responds and adapts to your complex IT environment, whether it’s on-cloud or on-premise. Take control of your compliance workflow and shape it according to business logic. Learn more about the solution trusted by large financial institutions across the globe.

Green AI-powered scanner SDK of ID cards, passports, driver’s licenses, residence permits, visas, and other ids, more than 1834+ types in total. Provides eco-friendly, fast and precise scanning SDK for a smartphone, web, desktop or server, works fully autonomously. Extracts data from photos and scans, as well as in the video stream from a smartphone or web camera, is robust to capturing conditions. No data transfer — ID scanning is performed on-device and on-premise. Automatic scanning of machine-readable zones (MRZ); all types of credit cards: embossed, indent-printed, and flat-printed; barcodes: PDF417, QR code, AZTEC, DataMatrix, and others on the fly by a smartphone’s camera. Provides high-quality MRZ, barcode, and credit card scanning in mobile applications on-device regardless of lighting conditions. Supports card scanning of 21 payment systems.

IBM® Sterling Transformation Extender enables your organization to integrate industry-based customer, supplier and business partner transactions across the enterprise. It helps automate complex transformation and validation of data between a range of different formats and standards. Data can be transformed either on-premises or in the cloud. Additional available advanced transformation support provides metadata for mapping, compliance checking and related processing functions for specific industries, including finance, healthcare, and supply chain. Industry standards, structured or unstructured data and custom formats. On-premises and hybrid, private or public cloud. With a robust user experience and RESTful APIs. Automates complex transformation and validation of data between various formats and standards. Any-to-any data transformation. Containerized for cloud deployments. Modern user experience. ITX industry-specific packs.

IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. It is designed to be the ideal hybrid cloud solution when you must maintain control of your data but want cloud-like flexibility. With built-in machine learning, automated scaling, built-in analytics, and SMP and MPP processing, Db2 Warehouse enables you to bring AI to your business faster and easier. Deploy a pre-configured data warehouse in minutes on your supported infrastructure of choice with elastic scaling for easier updates and upgrades. Apply in-database analytics where the data resides, allowing enterprise AI to operate faster and more efficiently. Write your application once and move that workload to the right location, whether public cloud, private cloud or on-premises — with minimal or no changes required.

IBM InfoSphere® Information Governance Catalog is a web-based tool that allows you to explore, understand and analyze information. You can create, manage and share a common business language, document and enact policies and rules, and track data lineage. Combine with IBM Watson® Knowledge Catalog to leverage existing curated data sets and extend your on-premises Information Governance Catalog investment to the cloud. A knowledge catalog allows you to put collected metadata into the hands of knowledge workers so data science and analytics communities can get easy access to the best assets for their purpose while still adhering to enterprise governance requirements. Provides a common business language and vocabulary to enable a deeper understanding of all your data assets, structured, semi-structured and unstructured. Documents governance policies and enacts rules to help you define how information should be structured, stored, transformed and moved.

Everything you need to make better business decisions. The Fosfor Decision Cloud unifies the modern data ecosystem to deliver the long-sought promise of AI: enhanced business outcomes. The Fosfor Decision Cloud unifies the components of your data stack into a modern decision stack, built to amplify business outcomes. Fosfor works seamlessly with its partners to create the modern decision stack, which delivers unprecedented value from your data investments.

Identify sensitive data, optimize storage, and comply with privacy regulations. Take control of your sensitive data using a hybrid-cloud platform that allows you to quickly discover and map data across diverse data repositories. ActiveNav’s Inventory provides the insights you need to support all your data initiatives. By isolating and visually depicting data at scale, you can manage risky, stale data and make informed content decisions. Our platform tackles the hardest challenges behind discovering and mapping unstructured data, enabling you to gain value from your data like never before. Personal, sensitive data is hiding everywhere in your organization: on-premises, in the cloud, on file shares and servers, and throughout numerous other repositories. The platform is uniquely built to handle the challenges of mapping unstructured data repositories, enabling risk mitigation and compliance with evolving privacy laws and regulations.

The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases.

Baffle provides universal data protection from any source to any destination to control who can see what data. Enterprises continue to battle cybersecurity threats such as ransomware, as well as breaches and losses of their data assets in public and private clouds. New data management restrictions and considerations on how it must be protected have changed how data is stored, retrieved, and analyzed. Baffle’s aim is to render data breaches and data losses irrelevant by assuming that breaches will happen. We provide a last line of defense by ensuring that unprotected data is never available to an attacker. Our data protection solutions protect data as soon as it is produced and keep it protected even while it is being processed. Baffle's transparent data security mesh for both on-premises and cloud data offers several data protection modes. Protect data on-the-fly as it moves from a source data store to a cloud database or object storage, ensuring safe consumption of sensitive data.

SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems.

Data Loss Prevention is defined as a system that performs real-time data classification on data at rest and in motion while automatically enforcing data security policies. Data in motion is data going to the cloud, internet, devices, or the printer. Our solution is the technology leader. Protecting on-premises, off-premises, and the cloud whether it be Mac, Linux, or Windows; our Data Loss Prevention security engine accurately detects structured & unstructured data at the binary level. GTB is the only Data Loss Prevention solution that accurately protects data when off the network. Discover, identify, classify, inventory, index, redact, re-mediate, index, control and protect your data including PII, PCI, PHI, IP, unstructured data, structured data, FERC, NERC, SOX, GLBA & more. Our patented and patent-pending, proprietary technology is able to prevent the syncing of sensitive data to unsanctioned or private clouds, while allowing its users to automatically identify “sync folders”.

A portal based on mobile- and enriched third-party data that allows one to: — reconstruct users’ sociodemographic (gender, age) — develop user segments (eg., young parents, frequent travellers, blue collars, university students, wealthy residents, etc.) — provide analytics according to clients’ requirements (places with users’ concentrations, customers’ loyalty, trends and variances, comparison with competitors, etc.) — determine the best location for opening a new kindergarten/supermarket/mall based on users' concentration, interests and sociodemographic factors. The solution started as a custom project for one of our UAE clients, but due to high demand further developed into a full-scale product that helps different businesses to answer important questions and solve principal tasks such as: — launch of granular targeted ad campaigns; — finding the best location for opening a business unit; — identification of best locations for placing outdoor banners and so on.