Alternatives to Maxeler Technologies

Compare Maxeler Technologies alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Maxeler Technologies in 2026. Compare features, ratings, user reviews, pricing, and more from Maxeler Technologies competitors and alternatives in order to make an informed decision for your business.

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    Kasm Workspaces

    Kasm Workspaces

    Kasm Technologies

    Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm uses our high-performance streaming and secure isolation technology to provide web-native Desktop as a Service (DaaS), application streaming, and secure/private web browsing. Kasm is not just a service; it is a highly configurable platform with a robust developer API and devops-enabled workflows that can be customized for your use-case, at any scale. Workspaces can be deployed in the cloud (Public or Private), on-premise (Including Air-Gapped Networks or your Homelab), or in a hybrid configuration.
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    Windocks

    Windocks

    Windocks

    Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments.
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    Scout Monitoring

    Scout Monitoring

    Scout Monitoring

    Scout Monitoring is Application Performance Monitoring (APM) that finds what you can't see in charts. Scout APM is application performance monitoring that streamlines troubleshooting by helping developers find and fix performance issues before customers ever see them. With real-time alerting, a developer-centric UI, and tracing logic that ties bottlenecks directly to source code, Scout APM helps you spend less time debugging and more time building a great product. Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead. Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications.
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    Composable DataOps Platform

    Composable DataOps Platform

    Composable Analytics

    Composable is an enterprise-grade DataOps platform built for business users that want to architect data intelligence solutions and deliver operational data-driven products leveraging disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data.
    Starting Price: $8/hr - pay-as-you-go
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    Google Cloud Dataflow
    Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.
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    DataOps DataFlow
    A holistic component-based platform for automating Data Reconciliation tests in modern Data Lake and Cloud Data Migration projects using Apache Spark. DataOps DataFlow is a modern, web browser-based solution for automating the testing of ETL, Data Warehouse, and Data Migration projects. Use Dataflow to inject data from any of the varied data sources, compare data, and load differences to S3 or a database. With fast and easy to set up, create and run dataflow in minutes. A best in the class testing tool for Big Data Testing DataOps DataFlow can integrate with all modern and advanced data sources including RDBMS, NoSQL, Cloud, and File-Based.
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    Google Cloud Bigtable
    Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started.
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    Primeur

    Primeur

    Primeur

    We are a Smart Data Integration Company, with an unconventional philosophy. For 35 years, we have been serving some of the most important Fortune 500 companies with our unconventional approach, our problem-solving attitude and our software solutions. Our goal is to help companies to work better and smoother, preserving their existing systems and IT investments. Our Hybrid Data Integration Platform, designed to preserve your existing IT systems, know-how and investments, optimizing efficiency and productivity while simplifying and accelerating all data integration processes. Our multi-protocol, multi-platform, managed and secure file transfer enterprise solution able to create a fluid and secure communication flow between different applications. It allows total control, savings and operative advantages. Our end-to-end dataflow monitoring and control solution. It provides visibility and full control of dataflows, from source to destination, including transformation.
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    LDRA Tool Suite
    The LDRA tool suite is LDRA’s flagship platform that delivers open and extensible solutions for building quality into software from requirements through to deployment. The tool suite provides a continuum of capabilities including requirements traceability, test management, coding standards compliance, code quality review, code coverage analysis, data-flow and control-flow analysis, unit/integration/target testing, and certification and regulatory support. The core components of the tool suite are available in several configurations that align with common software development needs. A comprehensive set of add-on capabilities are available to tailor the solution for any project. LDRA Testbed together with TBvision provide the foundational static and dynamic analysis engine, and a visualization engine to easily understand and navigate standards compliance, quality metrics, and code coverage analyses.
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    Flowhub IDE
    Flowhub IDE is a tool for building full-stack applications in a visual way. With the ecosystem of flow-based programming environments, you can use Flowhub to create anything from distributed data processing applications to internet-connected artworks. Flow-based programming for JavaScript. Runs in both browser and Node.js. Flow-based environment for distributed, heterogeneous data processing with message queues. Flow-based programming for microcontrollers like Arduinos. Toolkit for building IoT systems. Flowhub supports any runtimes compatible with the FBP protocol. You can integrate any custom dataflow systems with it. Coding starts on the white-board. Keep it that way with Flowhub! The “graph” displays your software flow clearly, concisely and beautifully. Flowhub has been designed ground-up for touchscreen usage, enabling you to work on your tablet while on the go. For component editing a keyboard might still be nice, though.
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    CodeSonar

    CodeSonar

    CodeSecure

    CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate.
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    Weave

    Weave

    Chasm

    Weave is a no-code AI workflow builder that enables users to automate tasks by implementing multiple Large Language Models (LLMs) and connecting prompts without the need for coding. With an intuitive interface, users can select templates, personalize them, and transform workflows into automated solutions. Weave supports various AI models, including those from OpenAI, Meta, Hugging Face, and Mistral AI, allowing for seamless integration and fine-tuning to achieve industry-specific results. Key features include intuitive dataflow management, app-ready APIs for easy integration, AI hosting, cost-effective AI models, effortless personalization, and user-friendly modules. Weave is ideal for applications such as generating character dialogue and backstories, developing intelligent chatbots, and automating written content.
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    Pathway

    Pathway

    Pathway

    Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.
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    Google Cloud Composer
    Cloud Composer's managed nature and Apache Airflow compatibility allows you to focus on authoring, scheduling, and monitoring your workflows as opposed to provisioning resources. End-to-end integration with Google Cloud products including BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform gives users the freedom to fully orchestrate their pipeline. Author, schedule, and monitor your workflows through a single orchestration tool—whether your pipeline lives on-premises, in multiple clouds, or fully within Google Cloud. Ease your transition to the cloud or maintain a hybrid data environment by orchestrating workflows that cross between on-premises and the public cloud. Create workflows that connect data, processing, and services across clouds to give you a unified data environment.
    Starting Price: $0.074 per vCPU hour
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    Hdiv

    Hdiv

    Hdiv Security

    Hdiv solutions enable you to deliver holistic, all-in-one solutions that protect applications from the inside while simplifying implementation across a range of environments. Hdiv eliminates the need for teams to acquire security expertise, automating self-protection to greatly reduce operating costs. Hdiv protects applications from the beginning, during application development to solve the root causes of risks, as well as after the applications are placed in production. Hdiv's integrated and lightweight approach does not require any additional hardware and can work with the default hardware assigned to your applications. This means that Hdiv scales with your applications removing the traditional extra hardware cost of the security solutions. Hdiv detects security bugs in the source code before they are exploited, using a runtime dataflow technique to report the file and line number of the vulnerability.
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    ProfitBase

    ProfitBase

    ProfitBase

    Establish seamless dataflows to gather data from multiple sources and business systems. Easily build driver-based models, based on your business, that can evolve as your company grows. Plan for contingencies to grasp the impact of events and decisions – within minutes. Work smoothly as a single team – create and manage work processes. Profitbase Planner gives you the capacity to focus on value creation. Spend less time gathering data and more time analyzing it. Analyze different scenarios, and get a better understanding of the financial impact of conceived situations on liquidity, profit and balance sheet. Get automatic generation of balance and liquidity when running scenario simulations. Return to a previous version at any time to backtrack assumptions. Test your business strategies and scenarios with various assumptions and business drivers.
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    Cloudera DataFlow
    Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi ​​that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes.
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    Google Cloud Confidential VMs
    Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
    Starting Price: $0.005479 per hour
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    Apache NiFi

    Apache NiFi

    Apache Software Foundation

    An easy to use, powerful, and reliable system to process and distribute data. Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. Some of the high-level capabilities and objectives of Apache NiFi include web-based user interface, offering a seamless experience between design, control, feedback, and monitoring. Highly configurable, loss tolerant, low latency, high throughput, and dynamic prioritization. Flow can be modified at runtime, back pressure, data provenance, track dataflow from beginning to end, designed for extension. Build your own processors and more. Enables rapid development and effective testing. Secure, SSL, SSH, HTTPS, encrypted content, and much more. Multi-tenant authorization and internal authorization/policy management. NiFi is comprised of a number of web applications (web UI, web API, documentation, custom UI's, etc). So, you'll need to set up your mapping to the root path.
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    Google Cloud Pub/Sub
    Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow.
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    Threagile

    Threagile

    Threagile

    Threagile enables teams to execute Agile Threat Modeling as seamless as possible, even highly-integrated into DevSecOps environments. Threagile is the open-source toolkit which allows to model an architecture with its assets in an agile declarative fashion as a YAML file directly inside the IDE or any YAML editor. Upon execution of the Threagile toolkit a set of risk-rules execute security checks against the architecture model and create a report with potential risks and mitigation advice. Also nice-looking data-flow diagrams are automatically created as well as other output formats (Excel and JSON). The risk tracking can also happen inside the Threagile YAML model file, so that the current state of risk mitigation is reported as well. Threagile can either be run via the command-line (also a Docker container is available) or started as a REST-Server.
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    Commercial Servicer
    Commercial Servicer® is a user-friendly software solution that provides complete automation and seamless dataflow for commercial loan servicing for complex structured loans (e.g., commercial real estate, multi-family, construction, and equipment). Commercial Servicer® offers a feature-rich platform that gives you the flexibility to efficiently service virtually any complex structured loan, including commercial real estate, multi-family, equipment, and construction loans. Commercial Servicer® allows recording, tracking, and monitoring of the detailed information necessary for efficient asset management and collateral tracking. Unlimited collateral types and properties are easily stored within the system, and numerous built-in reports provide guidance for superior asset management. Commercial Servicer® makes payment processing fast, easy and accurate. System tools allow easy posting for many types of payments and fees.
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    Google Cloud Datastream
    Serverless and easy-to-use change data capture and replication service. Access to streaming data from MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle databases. Near real-time analytics in BigQuery. Easy-to-use setup with built-in secure connectivity for faster time-to-value. A serverless platform that automatically scales, with no resources to provision or manage. Log-based mechanism to reduce the load and potential disruption on source databases. Synchronize data across heterogeneous databases, storage systems, and applications reliably, with low latency, while minimizing impact on source performance. Get up and running fast with a serverless and easy-to-use service that seamlessly scales up or down, and has no infrastructure to manage. Connect and integrate data across your organization with the best of Google Cloud services like BigQuery, Spanner, Dataflow, and Data Fusion.
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    Lyniate Corepoint
    Integrate fast and quickly realize ROI with Lyniate Corepoint, an easy-to-use, modular integration engine that delivers cost-effective, simplified healthcare data exchange. Develop, schedule, and go live with interfaces confidently using a test-as-you-develop approach, reusable actions, and alerting and monitoring capabilities from the top-ranked integration engine in KLAS since 2009. Whether you’re performing system migrations, upgrades, or platform conversions, Corepoint allows you to maintain data integrity and interoperability with internal and external data-trading partners. Ease-of-use means deploying data integration fast and cost-effectively, performing unit tests along the way. A direct line of access to ongoing, knowledgeable support from a company with a customer-first culture. Quickly troubleshoot data-flow challenges, before they disrupt workflow and operations, with tailored alerts and monitors for customized user profiles.
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    eXplain

    eXplain

    PKS Software

    eXplain is a specialized code-analysis and legacy-system evaluation tool from PKS Software GmbH, designed to deeply analyze, map, document, and assess legacy applications, especially on mainframe platforms such as IBM i (AS/400) and IBM Z, so organizations can understand what lives in their software, how it’s structured, and what parts are worth keeping, refactoring or retiring. It imports existing source code into an independent “eXplain server”, no need to install anything on the host system, then uses advanced parsers to examine languages like COBOL, PL/I, Assembler, Natural, RPG, JCL, and others, along with data about databases (Db2, Adabas, IMS), job-schedulers, transaction monitors, and more. eXplain builds a central repository that becomes a knowledge hub; from there, it generates cross-language dependency graphs, data-flow maps, interface analyses, clusterings of related modules, and detailed object-and-resource usage reports.
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    Oasys-RTL

    Oasys-RTL

    Siemens

    Oasys-RTL addresses the need for higher capacity, faster runtimes, improved QoR, and physical awareness by optimizing at a higher level of abstraction and using integrated floorplanning and placement capabilities. Oasys-RTL provides better quality results by enabling physical accuracy, floorplanning, and fast optimization iterations to get to design closure on time. The power-aware synthesis capabilities include support for multi-threshold libraries, automatic clock gating, and UPF-based multi-VDD flow. During synthesis, Oasys-RTL inserts all the appropriate level shifters, isolation cells, and retention registers depending on the power intent as defined in the UPF. Oasys-RTL can create a floorplan directly from the design RTL using design dataflow and timing, power, area, and congestion constraints. It considers regions, fences, blockages, and other physical guidance using the advanced floorplan editing tools and automatically places macros, pins, and pads.
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    Sextant

    Sextant

    Sextant

    Sextant collects data, enriches it, and assists our clients in model & analyze data. Our team has the experience to help determine what analysis suggests for strategy. Our powerful software automates dataflows, publishes reports, and broadcasts data events. Make faster and more informed decisions when expanding your dealer network. Use timely and intelligent analytics to improve dealer performance. Use specialized industry intelligence to market effectively. Benefit from powerful analytics and spatial algorithms to assess the condition of a market area. Gauge the performance of your existing locations, and determine where your company would be wisest to relocate or establish new points. Sextant can perform screen scraping, survey, and call center work to pick up custom data points, and we can structure analysis as reflects your specific data points and business considerations. Our foremost goal is to contribute to our client's success.
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    Datavolo

    Datavolo

    Datavolo

    Capture all your unstructured data for all your LLM needs. Datavolo replaces single-use, point-to-point code with fast, flexible, reusable pipelines, freeing you to focus on what matters most, doing incredible work. Datavolo is the dataflow infrastructure that gives you a competitive edge. Get fast, unencumbered access to all of your data, including the unstructured files that LLMs rely on, and power up your generative AI. Get pipelines that grow with you, in minutes, not days, without custom coding. Instantly configure from any source to any destination at any time. Trust your data because lineage is built into every
pipeline. Make single-use pipelines and expensive configurations a thing of the past. Harness your unstructured data and unleash AI innovation with Datavolo, powered by Apache NiFi and built specifically for unstructured data. Our founders have spent a lifetime helping organizations make the most of their data.
    Starting Price: $36,000 per year
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    GoodDay

    GoodDay

    GoodDay

    GoodDayOS is the first AI‑powered ERP retail operating system built specifically for Shopify brands, unifying inventory, order, supply chain, and accounting workflows within the Shopify admin. It eliminates manual errors and duplicated data entry by centralizing purchase orders, vendor management, shipments, receiving, transfers, adjustments, and returns alongside complex wholesale and pre‑book sales orders, all powered by real‑time integration with Shopify, retail POS, and 3PLs. A proactive integrated dataflow layer offers bulk editing, configurable fields, and CSV exports, while the GoodDay Sheets App enables one‑click syncing with Google Sheets, automated data refresh, and custom script support. Operational accounting features such as estimated landing costs, three‑way match, and revenue recognition deliver clear budget‑to‑actual analysis, and GoodAI agents will automate repetitive tasks.
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    Gantry

    Gantry

    Gantry

    Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback. Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases. The best models are built on user data. Programmatically gather unusual or underperforming examples to retrain your model. Stop manually reviewing thousands of outputs when changing your prompt or model. Evaluate your LLM-powered apps programmatically. Detect and fix degradations quickly. Monitor new deployments in real-time and seamlessly edit the version of your app your users interact with. Connect your self-hosted or third-party model and your existing data sources. Process enterprise-scale data with our serverless streaming dataflow engine. Gantry is SOC-2 compliant and built with enterprise-grade authentication.
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    Apache TinkerPop

    Apache TinkerPop

    Apache Software Foundation

    Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).
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    PrivacyAnt Software
    Describe how personal data is being collected, used and disclosed by your product or service. PrivacyAnt Software has the most advanced data-flow maps for privacy management. By visually demonstrating how personal data is being processed, your accountability documentation becomes more robust. Bring your accountability to a new level by getting an independent review on your current data protection status. Our certified privacy professionals will validate your current privacy program by assessing your current practices and data protection management procedures. Do you need an extra hand developing your privacy program? Whether it’s a incident response plan or privacy by design process that needs fine-tuning, we can provide you with industry best practices tailored to your needs. Not sure how to do a data protection impact assessment or PIA? We have conducted hundreds of privacy assessments and would be more than happy to help you.
    Starting Price: €170 per month
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    Complyon

    Complyon

    Complyon

    We help, You comply. Make compliance an asset and improve your business through Complyon’s governance, compliance and risk management software. Our tools ensure your compliance. Data mapping Reuse, optimize and connect your dataflows to save time and secure your information. Reporting. Generate up-to-date and protocol-ready reports in seconds, covering everything from systems to risks. Decentralizing compliance. A central platform allows your compliance to be trusted by management, while being simple to update, validate and administrate. Improve your compliance with our tailor-made workflows. Central governance. Central governance and business unit input provides all the right data to secure compliance for GDPR and other regulations you need to abide by. Data flow analysis. Understand the complete overview of your data through the interconnection of activities, systems and processes, including everything from third parties and policies to legal basis and retention rules.
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    Bright Cluster Manager
    NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems.
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    Rocket PRO/JCL

    Rocket PRO/JCL

    Rocket Software

    Rocket PRO/JCL is a DevOps‑enabled JCL management solution that standardizes, validates, and optimizes Job Control Language (JCL) across IBM z/OS environments. It helps mainframe teams maintain an error‑free, high‑performing, and cost‑efficient production JCL ecosystem by automating validation, enforcing site standards, reducing failed runs, and integrating seamlessly into modern CI/CD toolchains.
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    Common Lisp

    Common Lisp

    Common Lisp

    Common Lisp is the modern, multi-paradigm, high-performance, compiled, ANSI-standardized, most prominent (along with Scheme) descendant of the long-running family of Lisp programming languages. Common Lisp is known for being extremely flexible, having excellent support for object oriented programming, and fast prototyping capabilities. It also sports an extremely powerful macro system that allows you to tailor the language to your application, and a flexible run-time environment that allows modification and debugging of running applications (excellent for server-side development and long-running critical software). It is a multi-paradigm programming language that allows you to choose the approach and paradigm according to your application domain.
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    OpenModelica

    OpenModelica

    OpenModelica

    OpenModelica is an open source modeling and simulation environment based on the Modelica language, intended for industrial and academic use. Its development is supported by the Open Source Modelica Consortium (OSMC), a non-profit organization. The platform aims to provide a comprehensive Modelica modeling, compilation, and simulation environment distributed in both binary and source code forms for research, teaching, and industrial applications. OpenModelica supports the Modelica Standard Library and is compatible with various operating systems, including Windows, Linux, and macOS. It is designed to facilitate the development and execution of both low-level and high-level numerical algorithms, making it suitable for control system design, solving nonlinear equation systems, and developing optimization algorithms applied to complex applications. The platform also offers tools for debugging, visualization, and animation, enhancing the user experience in modeling and simulation tasks.
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    DRBD

    DRBD

    LINBIT

    DRBD® (Distributed Replicated Block Device) is an open source, software‑based, shared‑nothing block storage replication solution for Linux, designed primarily to deliver high-performance, high‑availability (HA) data services by mirroring local block devices between nodes in real time, either synchronously or asynchronously. Implemented deep in the Linux kernel as a virtual block‑device driver, DRBD ensures local read performance with efficient write‑through replication to peer(s). User‑space utilities like drbdadm, drbdsetup, and drbdmeta enable declarative configuration, metadata management, and administration across installations. Originally built for two‑node HA clusters, DRBD 9.x extends support to multi‑node replication and integration into software‑defined storage (SDS) systems such as LINSTOR, making it suitable for cloud‑native environments.
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    Arm Forge
    Build reliable and optimized code for the right results on multiple Server and HPC architectures, from the latest compilers and C++ standards to Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge combines Arm DDT, the leading debugger for time-saving high-performance application debugging, Arm MAP, the trusted performance profiler for invaluable optimization advice across native and Python HPC codes, and Arm Performance Reports for advanced reporting capabilities. Arm DDT and Arm MAP are also available as standalone products. Efficient application development for Linux Server and HPC with Full technical support from Arm experts. Arm DDT is the debugger of choice for developing of C++, C, or Fortran parallel, and threaded applications on CPUs, and GPUs. Its powerful intuitive graphical interface helps you easily detect memory bugs and divergent behavior at all scales, making Arm DDT the number one debugger in research, industry, and academia.
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    NVIDIA Base Command Manager
    NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.
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    Amazon Linux 2
    Run all your cloud and enterprise applications in a security-focused and high-performance Linux environment. Amazon Linux 2 is a Linux operating system from Amazon Web Services (AWS). It provides a security-focused, stable, and high-performance execution environment to develop and run cloud applications. Amazon Linux 2 is provided at no additional charge. AWS provides ongoing security and maintenance updates for Amazon Linux 2. Amazon Linux 2 includes support for the latest Amazon EC2 instance capabilities and is tuned for enhanced performance. It includes packages that help ease integration with other AWS Services. Amazon Linux 2 offers long-term support. Developers, IT administrators, and ISVs get the predictability and stability of a Long Term Support (LTS) release, but without compromising access to the latest versions of popular software packages.
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    NVIDIA HPC SDK
    The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications.
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    Tanzu Observability
    Tanzu Observability by Broadcom is a high-performance observability platform designed to monitor, analyze, and optimize cloud-native applications and infrastructure. It provides real-time visibility into the health, performance, and operations of complex applications by collecting and analyzing metrics, traces, and logs. Tanzu Observability leverages advanced AI and machine learning capabilities to detect anomalies and provide actionable insights, helping businesses proactively manage and optimize their digital environments. The platform’s scalable architecture supports large-scale deployments and offers deep insights into application performance, enabling faster troubleshooting and enhanced decision-making.
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    GreenNode

    GreenNode

    GreenNode

    GreenNode is a high-performance, self-service enterprise AI cloud platform that centralizes the full AI/ML model lifecycle, from development to deployment, on a scalable GPU-accelerated infrastructure designed for modern AI workloads. It provides cloud-hosted notebook instances where teams can write code, visualize data, and collaborate, supports model training and fine-tuning with flexible compute, and offers a model registry to manage versions and performance across deployments. It includes serverless AI model-as-a-service capabilities with a catalog of 20+ pre-trained open-source models for text generation, embeddings, vision, speech, and more that can be accessed through standard APIs for fast experimentation and integration into applications without building model infrastructure from scratch. GreenNode’s environment accelerates model inference with low-latency GPU execution, enables seamless integration with tools and frameworks, and features performance.
    Starting Price: 0.06$ per GB
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    Red Hat Runtimes
    Red Hat Runtimes is a set of products, tools, and components for developing and maintaining cloud-native applications. It offers lightweight runtimes and frameworks (like Quarkus) for highly-distributed cloud architectures, such as microservices. A collection of runtimes, frameworks, and languages so developers and architects can choose the right tool for the right task. Support is included for Quarkus, Spring Boot, Vert.x, and Node.js. An in-memory distributed data management system designed for scalability and fast access to large volumes of data. An identity management system that enables developers to provide web single sign-on capabilities based on industry standards for enterprise security. A message broker that offers specialized queueing behaviors, message persistence, and manageability. An open source implementation of the Java™ platform, standard edition (Java SE) supported and maintained by the OpenJDK community.
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    JFrog Pipelines
    JFrog Pipelines empowers software teams to ship updates faster by automating DevOps processes in a continuously streamlined and secure way across all their teams and tools. Encompassing continuous integration (CI), continuous delivery (CD), infrastructure and more, it automates everything from code to production. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions. Scales horizontally, allowing you to have a centrally managed solution that supports thousands of users and pipelines in a high-availability (HA) environment. Pre-packaged declarative steps with no scripting required, making it easy to create complex pipelines, including cross-team “pipelines of pipelines.” Integrates with most DevOps tools. The steps in a single pipeline can run on multi-OS, multi-architecture nodes, reducing the need to have multiple CI/CD tools.
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    Arm Allinea Studio
    Arm Allinea Studio is a suite of tools for developing server and HPC applications on Arm-based platforms. It contains Arm-specific compilers and libraries, and debug and optimization tools. Arm Performance Libraries provide optimized standard core math libraries for high-performance computing applications on Arm processors. The library routines, which are available through both Fortran and C interfaces. Arm Performance Libraries are built with OpenMP across many BLAS, LAPACK, FFT, and sparse routines in order to maximize your performance in multi-processor environments.
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    FastAPI

    FastAPI

    FastAPI

    FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available. Minimize code duplication, multiple features from each parameter declaration.
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    ORBexpress

    ORBexpress

    Objective Interface Systems

    The ORBexpress® product family is OIS's high-performance implementation of CORBA technology. By using a standards-based solution, you can build applications that are highly portable and interoperable. Using a commercially supported ORB means your developers can focus on application development, not system code. ORBexpress provides a standards-based alternative to in-house, proprietary communication protocols while adding minimal overhead and footprint to your applications. It enables software developers to simplify the development of distributed software applications, build scalable, efficient and robust applications, and reduce overall development time, meeting time-to-market requirements. Optimized for use in the real-time, embedded, and high-performance development environment, the ORBexpress product family combines performance with extreme reliability.
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    Omnis Studio

    Omnis Studio

    Omnis Software Ltd

    Omnis Studio is a cross platform application development environment. Omnis Studio allows application developers and programmers to write application code and business logic once, and deploy their applications on virtually any platform or device, including desktop PCs on Windows and macOS, as well as tablets and phones on iOS, Android and Windows. Support for a large range of client devices is enabled using the Omnis JavaScript Client, a unique JavaScript based technology for rendering the application UI and web forms in a standard web browser on desktops and mobile devices. The integration of data and services is available in Omnis Studio via REST based Web Services, and functionality can be extended within Omnis Studio by utilizing its powerful and flexible external components API. Omnis is headquartered in the UK and has subsidiaries in USA, France and Germany and distributors for many other parts of the world.