Alternatives to Oracle Big Data Service

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Our comprehensive suite of cloud services allows you to build your cloud server your way. Kamatera’s infrastructure is specialized in VPS hosting. With 24 data centers around the world, including 8 in the US, as well as in Europe, Asia and the Middle East, you can choose from. Our enterprise-grade cloud server can meet your requirements at any stage. We use cutting edge hardware, including Ice Lake Processors, NVMe SSDs, and other components, to deliver consistent performance and 99.95% uptime. With a robust service such as ours, you'll get a lot of great features like fantastic hardware, flexible cloud setup, Windows server hosting, fully managed hosting and data security. We also offer consultation, server migration and disaster recovery. We have a 24/7 live support team to assist you in all time zones. With our flexible and predictable pricing plans, you only pay for the services you use.

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.

Azure Disk Storage is designed to be used with Azure Virtual Machines (in preview), and Azure VMware Solution (in beta). It offers high-performance block storage for mission- and business-critical applications. You can confidently migrate to Azure infrastructure using four storage options: Ultra Disk Storage (Premium SSD), Standard SSD (Standard SSD), and Standard HDD (Standard HDD). This will optimize your workload's performance and costs. Get high performance with sub-millisecond latency for throughput and transaction-intensive workloads such as SAP HANA, SQL Server, and Oracle. Use shared disks to run high-availability or clustered applications in the cloud. You will enjoy enterprise-grade durability and a 0% annual failure rate. Ultra Disk Storage allows you to meet demand without causing performance disruptions. Protect your data with Microsoft-managed keys, or your own, encryption.

Cloud servers, bare metal and storage can be easily deployed worldwide. Our high-performance compute instances are ideal for your web application development environment. Once you click deploy, Vultr cloud orchestration takes control and spins up the instance in your preferred data center. In seconds, you can spin up a new instance using your preferred operating system or preinstalled applications. You can increase the capabilities of your cloud servers whenever you need them. For mission-critical systems, automatic backups are essential. You can easily set up scheduled backups via the customer portal. Our API and control panel are easy to use, so you can spend more time programming and less time managing your infrastructure.

StorPool provides a fully managed primary storage platform that businesses can use to host mission-critical workloads from their own datacenters. We make it easy to convert standard servers with NVMe SSDs to high-performance, linearly scaling primary storage systems. StorPool is a superior alternative for high-end SANs or All-Flash Arrays (AFA) and mid-range SANs for companies building private or public clouds. StorPool is more reliable, agile, faster, and more cost-effective than other primary storage products. It is a great replacement for legacy storage architectures such as mid- or high-end primary arrays. Your cloud computing offering will deliver exceptional performance, reliability, and a higher ROI.

Amazon Elastic Block Store is a block-storage service that is easy to use and high-performance. It can be used with Amazon Elastic Compute Cloud, (EC2), for transaction-intensive workloads of any size. Amazon EBS is widely used for a wide range of workloads such as enterprise applications, relational and nonrelational databases, big data analytics engines, file system, and media workflows. To balance price and performance, you can choose from six volume types. You can achieve single-digit-millisecond latency for high-performance database workloads such as SAP HANA or gigabyte per second throughput for large, sequential workloads such as Hadoop. You can modify volume types, tune performance or increase volume size without affecting your critical applications so that you have cost-effective storage whenever you need it.

Oracle Cloud Infrastructure Block Volume provides customers reliable block storage that can be used with both virtual machines and bare-metal instances. Block Volumes have built-in redundancy and are persistent and reliable beyond the life span of virtual machines. They can scale up to 1PB per compute instance. To ensure high reliability, all volumes are built-in durable and run on redundant hardware. To facilitate frequent recovery points, backup block and boot volumes to Oracle Cloud Infrastructure Object Storage. You can easily optimize storage size without imposing any provisioning restrictions. Block and boot volumes can be extended from 50 GB up to 32 TB online. This is done without impacting applications or workloads. To move to larger volumes, you can clone existing volumes or restore backups. You can easily clone existing blocks volumes without having to initiate the backup and restore process.

The Cloud that makes sense. Scaleway is the foundation for digital success. Cloud platform for developers and growing companies. Everything you need to build, deploy, and scale your cloud infrastructure. You can compute, GPU, bare metal, and containers. Managed & Evolutive Storage. Network. IoT. You have the largest selection of dedicated servers available to help you succeed in the most challenging projects. Web Hosting with high-end dedicated servers. Domain Names Services. Our cutting-edge expertise allows you to host your hardware at our high-performance, secure data centers. Private Suite & Cage Rack, 1/2 & 1/4 Rack. Scaleway data centers. Scaleway has 6 data centers in Europe, and offers cloud solutions for customers in over 160 countries. Our Excellence team: Experts at your side 24/7. Learn how we can help our customers tune, optimize and use their platforms with skilled experts

ITOps and DevOps had previously struggled to add replicated storage Kubernetes clusters. Many Kubernetes clusters that are not cloud-hosted don't support persistent storage. External storage arrays can be very expensive and are not portable. Longhorn is a cloud-native, open-source, cloud-native persistent storage that is simple to use and easy to upgrade. It does not have the overhead of proprietary or open core alternatives. Longhorn's built in backup and incremental snapshot features ensure that volume data is safe within and outside of Kubernetes clusters. Longhorn's intuitive and free management interface makes it easy to schedule backups of persistent storage volumes within Kubernetes clusters. External replication solutions can be used to recover from a disk failure. They will re-replicate the entire data store. This can take several days and cause cluster failures.

Lunavi creates cloud storage solutions that are tailored to your application requirements and IT architecture. This ensures an optimized cloud environment that allows for synchronized storage access across all your portfolio. Different types of cloud storage work best for different types of applications. Simple file storage is often sufficient for common apps, shared drives and regular read/write operations. Block storage may be better for high-performance applications that require portability. Object storage is a good option for large storage requirements and compatibility. Lunavi can help you navigate, regardless of your platform or application. Object storage is a cost-effective, highly scalable cloud storage solution for large amounts of unstructured data, including images, videos, documents, and other media-rich environments. Lunavi offers file storage and block storage at a variety of performance levels to optimize storage budget while supporting specific cloud workloads.

Zadara makes enterprise storage simple. Any data type. Any protocol. Any location. You get Zadara on your premises or with your cloud provider. This is more than the industry-leading enterprise storage. You get a fully-managed, pay-only-for-what-you-use service that eliminates the cost and complexity typically associated with enterprise storage.

Red Hat®, Ceph Storage is an open storage solution that can be scaled massively and simplified for modern data pipelines. Red Hat Ceph Storage is designed for data analytics, machine learning (AI/ML), emerging workloads, and other applications. It offers software-defined storage on any industry-standard hardware. You can scale to unprecedented levels of storage, up to 1,000,000 objects, and beyond, without compromising performance. No downtime required to expand or shrink storage clusters. Get the agility you need in order to get to market quicker. You can get started faster with dramatically simplified installation. With streamlined operation, monitoring and capacity management, you can quickly gain insight from large amounts of unstructured information. Integrated data protection and security features include client-side encryption and object-level encryption. This will protect your data from external threats and hardware failures. You can easily manage backup and recovery from one point of control and administration.

MayaScale can help you build a powerful NVMe Over Fabrics high-performance shared storage system. Consolidate NVMe resources directly attached into a shared storage pool. Clients who require high performance and low latency can be provided flexible NVMe namespaces. Clients can return their NVMe storage space to the storage pool when they are done. Direct Attached storage is no longer available for over-provisioning and stranding NVMe storage space. This network-agnostic solution uses RDMA on-premises and standard cloud TCP. Clients can see true NVMe devices using the standard NVMe driver stack. No proprietary extensions are required. You can configure and deploy NVMe over Fabrics SAN infrastructure in your data center at rack scale by pooling heterogeneous devices over an RDMA-capable interconnect. This includes ROCE and iWARP, as well as Infiniband. You can experience NVMe over Fabrics even on public Cloud using the standard TCP/IP protocol.

Modern data centers need a single, unifying, infinitely scalable, and easy to manage storage solution. It transforms enterprise storage infrastructure into an innovative vehicle for innovation. SUSE Enterprise Storage is a flexible and reliable storage solution that is cost-effective, efficient, and intelligent. Ceph is a cloud-native storage solution that can be used for a variety of demanding workloads, including archival and high-performance computing (HPC). It is available for Arm and x86 architectures and can be deployed on most readily available hardware. This allows businesses to store and efficiently process their data to gain a competitive edge, optimize business operations, provide deeper customer insights, and build business intelligence to deliver better products and services. SUSE Enterprise Storage supports Kubernetes, seamlessly integrates with ML/AI and EDGE, and is compatible with embedded architecture.

Elastic Volume Service (EVS), which provides block storage for cloud servers such Elastic Cloud Servers, (ECS), and Bare Metal Serverss (BMS), is highly durable. EVS provides 99.9999999% durability with as little as 1 millisecond read/write latency to support a wide range of mission-critical applications. EVS disks are available with high I/O or general purpose SSD. There is an EVS disk that can meet all your storage needs. You can instantly increase the block storage space of an EVS disk if it is not sufficient. You can easily scale a system disk to 1 TB or a data disk to 32 TB in a matter of seconds, without affecting your workloads. EVS disks are encrypted using the industry-standard AES256 encryption algorithm and keys.

Nutanix Files Storage provides a simple, flexible, and intelligent file storage service that scales out to meet the data-driven era. You can update your files without disruption with just one click. All storage can be managed from one pane of glass. You can scale up or down on the hardware you prefer, and enjoy cloud-like consumption. You can identify who is using your data and how they are being used, and then automate management and control. IDC study shows that Nutanix Files Storage has a 66% reduction in operational overhead over traditional siloed storage. This results in a 414% ROI and 7 months payback. Nutanix Files Storage can handle billions of files, and tens to thousands of user sessions. You can easily scale up your cluster by adding more memory and/or compute to the file server virtual machines, or by adding more file server virtual machines. All this from one platform. You can also use the same resources to provide object and block storage.

Flash-backed Internet Small Computer Systems Interface block storage can be deployed and customized with up to 48,000 IOPS. To quickly adapt to workload changes, increase storage capacity or adjust performance, you can instantly adjust storage capacity. You can choose predefined tiers and fine-tune the environment. Protect data from being lost during maintenance and failures. Lock-in costs without hidden fees or additional charges. Provision block storage in IBM Cloud®, global data centers.

A distributed data integration framework which simplifies common Big Data integration tasks such as data ingestion and replication, organization, and lifecycle management. It can be used for both streaming and batch data ecosystems. It can be run as a standalone program on a single computer. Also supports embedded mode. It can be used as a mapreduce application on multiple Hadoop versions. Azkaban is also available for the launch of mapreduce jobs. It can run as a standalone cluster, with primary and worker nodes. This mode supports high availability, and can also run on bare metals. This mode can be used as an elastic cluster in the public cloud. This mode supports high availability. Gobblin, as it exists today, is a framework that can build various data integration applications such as replication, ingest, and so on. Each of these applications are typically set up as a job and executed by Azkaban, a scheduler.

IBM Cloud®, Object Storage and select IBM SDS products are available with unlimited access. IBM Storage Software Suite offers a unified interface for data management. The cost-per-TB pricing allows you to plan your capacity growth. The software can be used in test environments. The pricing is based on the amount of storage, not on the type or use of the storage. No licensing headaches are involved when switching from one storage type to another, or from one data type type to another. IBM Storage Software Suite has a uniform user interface that reduces user errors and training requirements. All products are designed to integrate seamlessly, allowing for worldwide support and integration.

Oracle Cloud Infrastructure supports traditional workloads while delivering modern cloud development tools. It's designed to protect against modern threats so that you can invent more. To lower your TCO, combine low cost and high performance. Oracle Cloud is a Generation 2 enterprise-class cloud that delivers powerful compute, networking, and includes a wide range of infrastructure and platform cloud services. Oracle Cloud was built from the ground up to support legacy workloads and deliver modern cloud development tools. This allows enterprises to bring their past forward while building their future. Our Generation 2 Cloud is the only one that can run Oracle Autonomous Database, which is the first and only industry-leading self-driving database. Oracle Cloud offers a complete cloud computing portfolio that includes application development, business analytics, data management, integration, security, and blockchain.

Are you troubled by storage management nightmares? Whether you are losing sleep over managing different storage tiers for hot, warm, and cold data, or finding it hard to address disruptions and slowdowns, you can now rest easy with a truly software-defined storage solution. DataCore SANsymphony enables you to centrally automate and manage capacity provisioning and data placement across diverse storage environments (any SAN, DAS, HCI, or JBOD). Powered by a block-level storage virtualization technology and a rich set of data services, SANsymphony delivers ultimate flexibility to control how you want to store and protect data. DataCore SANsymphony software-defined storage (SDS) provides organizations the flexibility, performance, and simplicity they need to efficiently aggregate isolated disparate storage resources into one highly available storage services pool. DataCore SANsymphony enables any mix of hyper-converged, converged (SAN), and storage virtualization deployment models to mitigate the business risks, IT complexities, and costs associated with different architectures, data migration initiatives, and protocols while increasing your organizations’ agility and competitive edge. DataCore’s hardware-agnostic approach.

Qlik Replicate offers high-performance data replication, optimized data ingestion and seamless integration into all major big data analytics platforms. Replicate supports both bulk replication and real-time incremental replicating using CDC (changed data capture). Our unique zero footprint architecture eliminates unnecessary overhead for your mission-critical systems, and facilitates data migrations and upgrades with zero downtime. Database replication allows you to consolidate or move data from a production data base to a newer database version, another computing environment, or a different database management system. For example, you can migrate data from SQL server to Oracle. Data replication is a way to move production data out of a database and into operational data stores, data warehouses or other data storage systems for analytics or reporting.

OpenEBS is built on Kubernetes to allow Stateful applications to access Dynamic Local PVs and Replicated PVs. Users who use the Container Attached storage pattern report lower costs, easier administration, and greater control for their teams. OpenEBS is an Open Source CNCF project that MayaData and the community created. Arista and Optoro are some of the most prominent users. It is difficult to automate storage replication across pods and provisioning. OpenEBS makes complex cross cloud stateful application storage simple. OpenEBS runs entirely within the userspace, so deployment and maintenance are easy, unlike CSI plugins and Linux kernel dependent software. OpenEBS, the largest and most active Kubernetes storage program, has the largest user base and community. It was built by K8s SREs and experts just like yourself, to meet their needs. OpenEBS manages storage for any Kubernetes stack.

Block storage that is reliable and high-performance for virtual machine instances. HDD is a low-cost storage option when bulk throughput is important. SSD provides consistent high performance for random-access workloads as well as bulk throughput. Both can be sized up 64 TB. Multi-reader mounting allows multiple virtual machines to read data from one Persistent Disk. The aggregate performance and cost of attaching a disk to multiple virtual machines is not affected. You no longer need to worry about undersizing block devices. Persistent disk gives you unlimited flexibility. It allows you to resize storage while it is being used by one or more virtual machine without any downtime. Snapshots can be geo-replicated, which means they are available for restoration in all regions. This allows you maximum flexibility and minimal effort. Snapshots of a block devices can be taken in minutes, rather than hours. Persistent disks are automatically encrypted to ensure your data is protected in transit and at rest.

EMR allows you to scale managed Hadoop clusters manually, or automatically, according to your monitoring metrics or business curves. EMR's storage computation separation allows you to terminate clusters to maximize resource efficiency. EMR supports hot failover on CBS-based nodes. It has a primary/secondary disaster recovery mechanism that allows the secondary node to start within seconds of the primary node failing, ensuring high availability of big data services. Remote disaster recovery is possible because of the metadata in Hive's components. High data persistence is possible with computation-storage separation for COS data storage. EMR comes with a comprehensive monitoring system that allows you to quickly locate and identify cluster exceptions in order to ensure stable cluster operations. VPCs are a convenient network isolation method that allows you to plan your network policies for managed Hadoop clusters.

Our Linux virtual machines simplify cloud infrastructure and provide a robust set of tools that make it easy to develop, deploy, scale, and scale modern applications faster and more efficiently. Linode believes virtual computing is essential to enable innovation in the cloud. It must be accessible, affordable, and easy. Our infrastructure-as-a-service platform is deployed across 11 global markets from our data centers around the world and is supported by our Next Generation Network, advanced APIs, comprehensive services, and vast library of educational resources. Linode products, services and people allow developers and businesses to create, deploy, scale, and scale applications in the cloud more efficiently and cost-effectively.

Data-driven decision making has led to a surge in business data and an increase in demand for its analysis. IT departments are now looking to move away from expensive Enterprise Data Warehouses (EDW), and towards more cost-effective Big Data platforms such as Hadoop or AWS. The Total Cost of Ownership (TCO), for these new platforms, is approximately 10 times lower. They are not suitable for interactive BI applications as they lack the same performance and user concurrency as legacy EDWs. Jethro was created precisely for this purpose. Customers use Jethro to perform interactive BI with Big Data. Jethro is a transparent middle-tier that does not require any changes to existing apps and data. It is self-driving and requires no maintenance. Jethro is compatible to BI tools such as Microstrategy, Qlik and Tableau and is data source agnostic. Jethro meets the needs of business users by allowing thousands of concurrent users to run complex queries across billions of records.

EMR is an enterprise-ready big-data platform that offers cluster, job, data management and other services. It is based on open-source ecosystems such as Hadoop Spark, Kafka and Flink. Alibaba Cloud Elastic MapReduce is a big-data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS and is based open-source Apache Spark and Apache Hadoop. EMR allows you use the Hadoop/Spark ecosystem components such as Apache Hive and Apache Kafka, Flink and Druid to analyze and process data. EMR can be used to process data stored on different Alibaba Cloud data storage services, such as Log Service (SLS), Object Storage Service(OSS), and Relational Data Service (RDS). It is easy to create clusters quickly without having to install hardware or software. Its Web interface allows you to perform all maintenance operations.

Excelero delivers low-latency distributed block storage for web-scale applications. NVMesh supports shared NVMe across any network. It also supports any local or remote file system. Intelligent management layers are included in the solution. They abstract the underlying hardware with CPU offload, create logical volumes with redundancy, provide centralized, intelligent monitoring and management. Applications can enjoy the latency and throughput of a local NVMe device, as well as the convenience of central storage. This avoids proprietary hardware lock-in and reduces overall storage TCO. NVMesh has a distributed block layer which allows unmodified applications access to pooled NVMe storage devices over a network at local speeds. The NVMesh block client can use distributed NVMe storage resources to create dynamic block volumes.

Run popular open-source frameworks--including Apache Hadoop, Spark, Hive, Kafka, and more--using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. You can process huge amounts of data quickly and enjoy all the benefits of the large open-source project community with the global scale Azure. You can easily migrate your big data workloads to the cloud. Open-source projects, clusters and other software are easy to set up and manage quickly. Big data clusters can reduce costs by using autoscaling and pricing levels that allow you only to use what you use. Data protection is assured by enterprise-grade security and industry-leading compliance, with over 30 certifications. Optimized components for open source technologies like Hadoop and Spark keep your up-to-date.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Simplyblock provides a distributed storage solution for IO-intensive and latency-sensitive container workloads in the cloud, offering an alternative to Elastic Block Storage services. The storage solution enables thin provisioning, encryption, compression, storage virtualization, and more.

Genesis Cloud has the accelerators you need for any application, whether it's creating machine learning models or performing complex data analytics. Create a virtual machine for CPU or GPU in just minutes. You can choose from a variety of configurations to suit your project size, including bootstrap and scaleout. Create storage volumes which can expand dynamically as your data grows. Your data is protected from unplanned loss or access by a highly-available storage cluster. Our data centers are constructed using a nonblocking leaf-spine architectural design based on switches that support 100G. Each server is connected via multiple 25G uplinks, and each account has a virtual network isolated for privacy and security. Our cloud offers infrastructure powered by renewable energies at the lowest price on the market.

Apache Hadoop is a software library that allows distributed processing of large data sets across multiple computers. It uses simple programming models. It can scale from one server to thousands of machines and offer local computations and storage. Instead of relying on hardware to provide high-availability, it is designed to detect and manage failures at the application layer. This allows for highly-available services on top of a cluster computers that may be susceptible to failures.

Oracle Cloud Infrastructure (OCI Data Flow) is a fully managed Apache Spark service that performs processing tasks on very large data sets. There is no infrastructure to deploy or manage. This allows developers to focus on application development and not infrastructure management, allowing for rapid application delivery. OCI Data Flow manages infrastructure provisioning, network setup, teardown, and completion of Spark jobs. Spark applications for big data analysis are easier to create and manage because storage and security are managed. OCI Data Flow does not require clusters to be installed, patched, or upgraded, which reduces both time and operational costs. OCI Data Flow runs every Spark job in dedicated resources. This eliminates the need to plan for capacity ahead. OCI Data Flow allows IT to only pay for the infrastructure resources used by Spark jobs while they are running.

Hopsworks is an open source Enterprise platform that allows you to develop and operate Machine Learning (ML), pipelines at scale. It is built around the first Feature Store for ML in the industry. You can quickly move from data exploration and model building in Python with Jupyter notebooks. Conda is all you need to run production-quality end-to-end ML pipes. Hopsworks can access data from any datasources you choose. They can be in the cloud, on premise, IoT networks or from your Industry 4.0-solution. You can deploy on-premises using your hardware or your preferred cloud provider. Hopsworks will offer the same user experience in cloud deployments or the most secure air-gapped deployments.

The New Era of Data Storage has Arrived. Nyriad is combining the power of CPUs and GPUs to achieve unprecedented capacity reliability and security. This disrupts conventional storage architectures. A compression platform that provides advanced data storage services for big-data and high-performance computing. The company's platform uses GPU-accelerated block storage to provide highly resilient data storage. Clients can meet the security, efficiency, and performance requirements of any type or computing project. Nyriad's concept for 'liquid data' is a flow of data through storage, networking, and processing bottlenecks in order to achieve speed, efficiency, and performance. This allows Nyriad to provide cloud support. Nyriad is busy finishing Ambigraph, which will become a significant operating system in exascale computing.

Consolidate your block, file and object data with an enterprise platform that provides a cloud-native user experience. IBM Storage Ceph, an enterprise storage solution, unifies file, block and object data in a single platform. This platform delivers a cloud native experience and helps organizations reduce costs.

Realize faster digital transformations with a unified platform. The integration of ransomware protection helps to make the transformation even easier. Achieve 421% ROI in 5 years and 63% more efficient storage management. Nutanix Unified Storage, a software-defined platform for data services, simplifies enterprise data management operations and offers the speed and flexibility required to build modern applications, services, and infrastructure, no matter whether they are deployed on the core, in the cloud, or at the edge. Consumption model to address exponential growth in unstructured information while meeting performance requirements. Integrated data security and analytics provides deep data insights for preventing, detecting, and recovering from ransomware or cyber-attacks. A consolidated platform for data services simplifies management, automation, availability, and more. Unified Storage platform can be extended across core, cloud, or edge while supporting multiple protocols.

Cloud Volumes ONTAP provides enterprise-grade storage wherever your apps may be. Cloud Volumes ONTAP allows you to optimize cloud storage costs and performance, while also improving data protection, security, and compliance. This easy-to-use calculator will help you calculate your storage costs on AWS Azure, Google Cloud, and Google Cloud.

Cloud infrastructure with high performance at affordable prices. Manage easily using an intuitive interface. No technical expertise is required. 24/7 dedicated team, personalized assistance and answers. Advanced encryption, 24/7 monitoring, and authentication. Competitive prices without compromising on quality. Utho Cloud services and products can turn your idea into a real solution. Save time with our 1 click deploy app and go live within minutes. Finding the right cloud is not easy, especially when there are so many options that allow developers to access cloud resources anywhere and at any time. Cloud resources can be deployed from seven data centers around the world to ensure the best user experience. We understand how important it is to have support. We are available via email, WhatsApp or phone at any time. Our pricing is transparent, and you only pay for what you use.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

OVHcloud gives technologists and businesses complete control, allowing them to start their own business. We are a global technology company that provides developers, entrepreneurs, and businesses with dedicated software, infrastructure, and server building blocks to manage, scale, and secure their data. We have always challenged the status-quo and strived to make technology affordable and accessible throughout our history. We believe that an open ecosystem and open cloud is essential to our future in today's digital world. This will allow all to flourish and customers to choose how, when, and where they want to manage their data. We are a trusted global company with more than 1.5 million customers. We manufacture servers, manage 30 datacenters, as well as operate our own fiber-optic network. We are open to powering your data with our products, support, thriving ecosystem, and passionate employees.

Your data will be stored on Canadian soil in our PIPEDA compliant Cloud. This puts to rest your concerns about Data Localization or Data Residency. Our pre-cached images reduce the delivery time from weeks down to seconds. We're sorry if you don’t have the time to make a cup of coffee. It's almost a private cloud, as all of your private network traffic has been encrypted and encapsulated automatically. Our cloud is run on the most powerful hardware available. Even our smallest instances are more efficient than our competitors. Our Canadian SSD cloud server solution is the most efficient and high-performance. Software development teams can reduce their project labour costs by 20% on average and half the infrastructure costs. You can dramatically increase the productivity of your team and reduce stress. We manage redundancy, uptime, and midnight trips to the Datacenter. This makes managing your infrastructure easy and gives you complete control over your costs.

Dataproc makes it easy to process open source data and analytic processing in the cloud. Faster build custom OSS clusters for custom machines Dataproc can speed up your data and analytics processing, whether you need more memory for Presto or GPUs to run Apache Spark machine learning. It spins up a cluster in less than 90 seconds. Cluster management is easy and affordable Dataproc offers autoscaling, idle cluster deletion and per-second pricing. This allows you to focus your time and resources on other areas. Security built in by default Encryption by default ensures that no data is left unprotected. Component Gateway and JobsAPI allow you to define permissions for Cloud IAM clusters without the need to set up gateway or networking nodes.

You can automate the cluster scaling and deployment on demand, and concentrate on processing, analysis and reporting big data. Our operations team is able to handle cluster operations thanks to the accumulation of massively distributed computing technologies over many years. It automatically scales clusters up to improve computing capability in peak periods and down to reduce costs in the valley period. It provides a management console that facilitates cluster management, template customization and task submission. By deploying with the BCC it can focus on its own business during a busy period and help the BMR to calculate the big data when there is free time. This reduces the overall IT expenditure.

Varada's adaptive and dynamic big data indexing solution allows you to balance cost and performance with zero data-ops. Varada's big data indexing technology is a smart acceleration layer for your data lake. It remains the single source and truth and runs in the customer's cloud environment (VPC). Varada allows data teams to democratize data. It allows them to operationalize the entire data lake and ensures interactive performance without the need for data to be moved, modelled, or manually optimized. Our ability to dynamically and automatically index relevant data at the source structure and granularity is our secret sauce. Varada allows any query to meet constantly changing performance and concurrency requirements of users and analytics API calls. It also keeps costs predictable and under control. The platform automatically determines which queries to speed up and which data to index. Varada adjusts the cluster elastically to meet demand and optimize performance and cost.

You can easily develop and execute massively parallel data processing and transformation programs in U-SQL and R. You don't need to maintain any infrastructure and can process data on-demand, scale instantly, or pay per job. Azure Data Lake Analytics makes it easy to process large data jobs in seconds. There are no servers, virtual machines or clusters to manage or tune. You can instantly scale your processing power in Azure Data Lake Analytics Units, (AU), to one to thousands per job. Only pay for the processing you use per job. Optimized data virtualization of relational sources, such as Azure SQL Database or Azure Synapse Analytics, allows you to access all your data. Your queries are automatically optimized by moving processing closer to the source data, which maximizes performance while minimising latency.

Bodo's powerful parallel computing engine and powerful compute engine provide efficient execution and effective scaling, even for 10,000+ cores or PBs of data. Bodo makes it easier to develop and maintain data science, data engineering, and ML workloads using standard Python APIs such as Pandas. End-to-end compilation prevents frequent failures and catches errors before they reach production. With Python's simplicity, you can experiment faster with large datasets from your laptop. Produce production-ready code without having to refactor for scaling large infrastructure.