Compare Database Mart vs. InterServer

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.

As a global IaaS solutions provider, phoenixNAP helps organizations of different sizes meet their IT performance, security, and scalability needs. Delivered from strategic edge locations in the U.S., Europe, Asia-Pacific, and Latin America, phoenixNAP's solutions are globally available, enabling businesses reach their target locales. Its colocation, HaaS, private and hybrid cloud, backup, disaster recovery, and security services are available on an opex-friendly model, providing flexibility and cost-efficiency. Based on world-class technologies, they provide redundancy, security, and advanced connectivity. Companies of all verticals and sizes can leverage phoenixNAP infrastructure for their evolving IT requirements at any stage of growth.

Our tailor-made hosting solutions are perfect for both ordinary users and businesses who are looking for reliability and high standards. Our main goal is to ensure that our services are available and fast. To achieve this goal, we work with the best data centres around the world, specifically Tier 2 & Tier 3. Our users can access dedicated servers in the United States and Canada, as well as the Netherlands, Poland and more than 17 other locations. Our clients choose us for our flexible payment options, affordable pricing plans and quick technical support. All of our VPS nodes are virtualized with KVM and come with a 1 Gbps port. Several also have 10 Gbps ports. All of our data centres are carrier-neutral so we have multiple uplinks at each location. We only offer modern servers from Dell, SuperMicro and HP. We use Juniper and Cisco for the network part. We are always expanding our reach, and we would love to be your long-term partner.

Delska is a data center and network operator that provides tailor-made IT and network services for businesses. With 5 data centers (one under construction, launching in 2025) in Latvia and Lithuania, and points of presence in Germany, Netherlands, and Sweden, we offer a comprehensive regional data center and network ecosystem. By 2030, we aim to achieve net-zero CO2 emissions, setting standard for sustainable IT infrastructure in the Baltic region. In addition to cloud computing, colocation, data security, network, and other services, we have launched the self-service cloud platform myDelska for swift virtual machine deployment, IT resources management, and soon-to-come bare metal services. Key features: • Unlimited traffic and predictable monthly costs • API integration • Flexible firewall configurations • Backup solutions • Real-time network topology • Latency measurement map • Alpine Linux, Ubuntu, Debian, Windows OS, openSUSE and other operating systems Since June 2024, Delska has merged 2 companies—DEAC European Data Center and Data Logistics Center (DLC). Both operate under their respective legal entities, which are owned by Quaero European Infrastructure Fund II.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

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Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

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.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.