Alternatives to Azure SQL Edge
Compare Azure SQL Edge alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Azure SQL Edge in 2026. Compare features, ratings, user reviews, pricing, and more from Azure SQL Edge competitors and alternatives in order to make an informed decision for your business.
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RaimaDB
Raima
RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree. -
2
MongoDB Atlas
MongoDB
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.Starting Price: $0.08/hour -
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SolarWinds Database Performance Analyzer
SolarWinds
Quickly pinpoint performance issues with SolarWinds® Database Performance Analyzer (DPA) while providing expert advice with tuning advisors. Anomaly detection powered by machine learning allows DBAs to proactively optimize databases before small issues become big problems. Real-time analysis with 24/7 monitoring and automated alerts provides the time an error occurred instead of just knowing it was “sometime last week.” DPA helps ease the use of more than 20 cross-platform databases in hybrid, on-premises and cloud environments. -
4
Azure Virtual Desktop
Microsoft
Azure Virtual Desktop (formerly Windows Virtual Desktop) is a comprehensive desktop and app virtualization service running in the cloud. It’s the only virtual desktop infrastructure (VDI) that delivers simplified management, multi-session Windows 10, optimizations for Microsoft 365 Apps for enterprise, and support for Remote Desktop Services (RDS) environments. Deploy and scale your Windows desktops and apps on Azure in minutes, and get built-in security and compliance features. Bring your own device (BYOD) and access your desktop and applications over the internet using an Azure Virtual Desktop client such as Windows, Mac, iOS, Android, or HTML5. Choose the right Azure virtual machine (VM) to optimize performance and leverage the Windows 10 and Windows 11 multi-session advantage on Azure to run multiple concurrent user sessions and save costs. -
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Azure SQL Managed Instance
Microsoft
Part of the Azure SQL family, SQL Managed Instance is an intelligent cloud database service combining the broadest SQL Server engine compatibility (back to SQL Server 2008) with the benefits of a fully managed, up-to-date platform as a service. With your successful assessment on Azure Migrate or Azure Data Studio, confidently modernize your custom and vendor-provided apps to Azure. Stop worrying about updates, upgrades, or end of support. SQL Managed Instance is built on the SQL Server engine, so it's always up to date with the latest SQL features and functionality. Meet your mission-critical requirements up to five times faster while paying up to 93 percent less than AWS RDS. Learn how SQL Managed Instance outperformed across three different benchmarks, spanning transactional and analytics workloads. Accelerate application modernization with the latest managed SQL Server capabilities in the cloud.Starting Price: $0.674 per hour -
6
SQL Server on Azure Virtual Machines
Microsoft
Migrate your SQL Server workloads to the cloud to get the performance and security of SQL Server combined with the flexibility and hybrid connectivity of Azure. Lower your total cost of ownership (TCO)1 and get free, built-in security and automated management when you register your virtual machines (VMs) with the SQL Server IaaS Agent extension at no extra cost. Save time with seamless post-deployment conversions—there's no need for production redeployment. Lower your ongoing operational costs with automatic image maintenance, updates, and patches. Simple, familiar SQL Server for versatile virtual machines.Starting Price: $1,543.950 per month -
7
Azure Cache for Redis
Microsoft
As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Superior throughput and performance to handle millions of requests per second with sub-millisecond latency. Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development. RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming. Powerful capabilities including clustering, built-in replication, Redis on Flash, and availability of up to 99.99 percent. Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances.Starting Price: $1.11 per month -
8
Azure AI Metrics Advisor
Microsoft
Embed AI-powered monitoring features to stay one step ahead of incidents, no machine learning expertise is required. Monitor the performance of your organization's growth engines, including sales revenue and manufacturing operations, with Azure AI Metrics Advisor, built on AI Anomaly Detector, and a part of Azure AI Services. Quickly identify and fix problems through a powerful combination of monitoring in near-real time, adapting models to your scenario, and offering granular analysis with diagnostics and alerting. End-to-end management of data monitoring is easily done through the AI Metrics Advisor interface, which plugs into popular time-series databases and provides stream monitoring support. All dimension combinations are analyzed to pinpoint affected areas for root-cause analysis and diagnoses and send alerts. A guided autotuning experience helps you customize the service to your unique needs.Starting Price: $0.75 per 1,000 time series -
9
Azure Linux
Microsoft
Linux on Azure helps teams build, deploy, and run applications on the Linux distribution of their choice using a proven cloud platform for Linux workloads. It supports open-source innovation with managed databases, scalable infrastructure, built-in code-to-cloud security, and the ability to automatically scale infrastructure to meet changing demands without compromising performance. Azure enables organizations to run Linux across virtual machines, containers, Kubernetes, hybrid environments, and open source database services, while supporting major Linux ecosystems such as Red Hat, Ubuntu, SUSE, and Azure Linux. Teams can provision Linux virtual machines in seconds, deploy and scale containers with Azure Kubernetes Service, use Azure Linux as a container host operating system for AKS, and dynamically scale virtual machine groups with Azure Virtual Machine Scale Sets.Starting Price: Free -
10
SQL Server
Microsoft
Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.Starting Price: Free -
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ZeusDB
ZeusDB
ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration. -
12
dbFront
Big Ideas Computing Ltd. / dbFront Works
dbFront is a RAD (Rapid Application Development) tool specifically designed for use by DBA's and Analysts. dbFront requires no code, is simple to administer, and is straightforward for users. dbFront can be locally installed or hosted via Azure, Amazon or the hosting service of your choice. dbFront connects to your own data and your own security infrastructure. No 3rd party dependencies. With dbFront, you can quickly build a client application for your existing database that is immediately useful. In addition, dbFront dynamically updates itself as your database changes.Starting Price: $199.00/one-time -
13
Azure Stream Analytics
Microsoft
Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA. -
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Azure Stack Edge
Microsoft
Run your workloads and get quick actionable insights right at the edge where data is created using purpose-built hardware-as-a-service with Azure Stack Edge. Simply order your appliance from the Azure portal in a hardware-as-a-service model, paid monthly via your Azure subscription. Get a seamless cloud-to-edge experience where you configure, monitor and update your Azure Stack Edge with the same management portal and development tools that you’ve come to expect from Azure. Run your containerized applications and VMs right at the edge where data is created and collected. Analyze, transform, and filter data at the edge, sending only the data you need to the cloud for further processing or storage. Build and train machine learning models in Azure or use Azure Cognitive service, and then utilize the built-in NVIDIA T4 GPU or Intel VPU in the Mini R to accelerate the results locally.Starting Price: $399 per month -
15
Azure Blob Storage
Microsoft
Massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning. Azure Blob Storage helps you create data lakes for your analytics needs, and provides storage to build powerful cloud-native and mobile apps. Optimize costs with tiered storage for your long-term data, and flexibly scale up for high-performance computing and machine learning workloads. Blob storage is built from the ground up to support the scale, security, and availability needs of mobile, web, and cloud-native application developers. Use it as a cornerstone for serverless architectures such as Azure Functions. Blob storage supports the most popular development frameworks, including Java, .NET, Python, and Node.js, and is the only cloud storage service that offers a premium, SSD-based object storage tier for low-latency and interactive scenarios.Starting Price: $0.00099 -
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SingleStore
SingleStore
SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.Starting Price: $0.69 per hour -
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SQLite
SQLite
SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day. SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. The code for SQLite is in the public domain and is thus free for use for any purpose, commercial or private. SQLite is the most widely deployed database in the world with more applications than we can count, including several high-profile projects.Starting Price: Free -
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NGINX as a Service (NGINXaaS) for Azure is a fully managed offering that integrates the Microsoft Azure ecosystem with advanced NGINX traffic services. Lift and shift, migrate, or extend existing NGINX workloads to the cloud with minimal effort, helping your organization save money, increase flexibility, and achieve consistency in performance and security across its estate of on-prem and Azure cloud apps. Enables application developers to deliver consistent apps in the cloud, deployed straight from the Azure Marketplace with just a few clicks on the console. Deploy and manage NGINXaaS via the Azure Portal with built-in integrations, including Azure Monitor and Azure Key Vault for SSL/TLS certificate management. Seamless lift-and-shift experience of your existing NGINX configuration, so you can migrate or extend your workloads to the cloud faster and with minimal effort.Starting Price: $0.015 per ncu per hour
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IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. It is designed to be the ideal hybrid cloud solution when you must maintain control of your data but want cloud-like flexibility. With built-in machine learning, automated scaling, built-in analytics, and SMP and MPP processing, Db2 Warehouse enables you to bring AI to your business faster and easier. Deploy a pre-configured data warehouse in minutes on your supported infrastructure of choice with elastic scaling for easier updates and upgrades. Apply in-database analytics where the data resides, allowing enterprise AI to operate faster and more efficiently. Write your application once and move that workload to the right location, whether public cloud, private cloud or on-premises — with minimal or no changes required.
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20
dbForge Edge
Devart
dbForge Edge is the newest Devart product - the multidatabase software solution covers all database-related jobs, allowing its users to accelerate the tasks' completion, save costs, and improve overall productivity. A set of powerful features applies to all most popular database management systems - MySQL and MariaDB, SQL Server, Oracle, and PostgreSQL. Notice the most helpful features of dbForge Edge: AI Assistant integration. Database design & development. Convert ER diagrams to actual databases or reverse-engineer databases. SQL coding assistance. Visual query building. Query profiling. Database comparison & synchronization. Deploy changes to the target databases on different platforms. Data management. Data import/export. Data analysis and reporting. Database administration.Starting Price: $699.95 -
21
Azure Percept
Microsoft
Azure Percept is a comprehensive, easy-to-use platform with added security for creating edge AI solutions. Start your proof of concept in minutes with hardware accelerators built to integrate seamlessly with Azure AI and Azure IoT services. Azure Percept works out of the box with Azure Cognitive Services, Azure Machine Learning, and other Azure services to deliver vision and audio insights in real-time. End-to-end edge AI platform including hardware accelerators integrated with Azure AI and IoT services. Pre-built AI models and solution management to help you start your proof of concept in minutes. Security measures built in to your edge AI solution to help protect your most sensitive and high-value assets. Start with a library of prebuilt AI models for vision capabilities including object detection, shelf analytics, vehicle analytics, and audio capabilities like voice control and anomaly detection. Customize AI model training with no code and deploy locally or in the cloud. -
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Oracle Autonomous Database
Oracle
Oracle Autonomous Database is a fully automated cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. It supports a wide range of data types and models, including SQL, JSON documents, graph, geospatial, text, and vectors, enabling developers to build applications for any workload without integrating multiple specialty databases. Built-in AI and machine learning capabilities allow for natural language queries, automated data insights, and the development of AI-powered applications. It offers self-service tools for data loading, transformation, analysis, and governance, reducing the need for IT intervention. It provides flexible deployment options, including serverless and dedicated infrastructure on Oracle Cloud Infrastructure (OCI), as well as on-premises with Exadata Cloud@Customer.Starting Price: $123.86 per month -
23
Azure Government
Microsoft
Accelerate your mission with a continuum of compute across data classifications from intelligent cloud to intelligent edge. Be future ready with the broadest range of commercial innovation for government. Azure delivers advanced compute and analytics capabilities from cloud to edge to help you gain insights, move faster, and do more for the mission. You can choose from the 60+ regions around the world or select Azure Government, the mission-critical cloud built to exceed requirements for classified and unclassified US Government data. Do more at the tactical edge, whether that's pre-processing data for low latency response times, bringing AI and machine learning to the far edge, or harnessing satellite data more rapidly to enable decision making in disconnected environments. Unlock insights, increase agility, and further your mission with Azure capabilities for classified data. -
24
Azure Backup
Microsoft
Azure Backup is a cost-effective, secure, one-click backup solution that’s scalable based on your backup storage needs. The centralized management interface makes it easy to define backup policies and protect a wide range of enterprise workloads, including Azure Virtual Machines, SQL and SAP databases, and Azure file shares. Monitor, operate, govern, and optimize data protection at scale in a unified and consistent manner using Backup Center. Back up and restore data from virtual machines with application consistency in Windows using Volume Shadow Copy Service (VSS) and in Linux with pre- and post- processing scripts. Back up Azure Virtual Machines, on-premises servers, SQL Server and SAP HANA on Azure Virtual Machines, Azure Files, and Azure Database for PostgreSQL. Store your backups in locally redundant storage (LRS), geo-redundant storage (GRS), and zone-redundant storage (ZRS). Natively manage your entire backup estate from a central console using Backup Center.Starting Price: $5 per month -
25
Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
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Azure Data Studio
Microsoft
Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data warehouses wherever they are, on your local computer or in the cloud. We recommend the user installer, which simplifies installations and updates and doesn't require Administrator privileges. -
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100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.
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Graph Story
Graph Story
Companies that opt for a DIY approach for their graph database can expect 2 to 3 months for a production-ready implementation. With Graph Story’s managed service, your production-ready database is available within minutes. Learn more about graph use cases as well as see a comparison between self-hosting and using a managed service. We can deploy where your servers already live: AWS, Azure, or Google Compute Engine, in any region. Need VPC peering or IP-restricted access? Just let us know. We're flexible like that. Building a proof of concept? Fire up a single, enterprise graph instance with a few clicks. Need to move up to a high-availability, production-ready cluster on-demand? We've got you covered! We built graph db management tools so you don't have to! See CPU, Memory and Disk utilization at glance. Get access to configs, logs, backup your database & restore snapshots.Starting Price: $299 per month -
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Azure Data Science Virtual Machines
Microsoft
DSVMs are Azure Virtual Machine images, pre-installed, configured and tested with several popular tools that are commonly used for data analytics, machine learning and AI training. Consistent setup across team, promote sharing and collaboration, Azure scale and management, Near-Zero Setup, full cloud-based desktop for data science. Quick, Low friction startup for one to many classroom scenarios and online courses. Ability to run analytics on all Azure hardware configurations with vertical and horizontal scaling. Pay only for what you use, when you use it. Readily available GPU clusters with Deep Learning tools already pre-configured. Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.Starting Price: $0.005 -
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Flower
Flower
Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.Starting Price: Free -
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Dgraph
Hypermode
Dgraph is an open source, low-latency, high throughput, native and distributed graph database. Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, DGraph can handle terabytes of structured data running on commodity hardware with low latency for real time user queries. It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching and fraud detection, serving relationship data, and serving web apps. -
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Nebula Graph
vesoft
The graph database built for super large-scale graphs with milliseconds of latency. We are continuing to collaborate with the community to prepare, popularize and promote the graph database. Nebula Graph only allows authenticated access via role-based access control. Nebula Graph supports multiple storage engine types and the query language can be extended to support new algorithms. Nebula Graph provides low latency read and write , while still maintaining high throughput to simplify the most complex data sets. With a shared-nothing distributed architecture , Nebula Graph offers linear scalability. Nebula Graph's SQL-like query language is easy to understand and powerful enough to meet complex business needs. With horizontal scalability and a snapshot feature, Nebula Graph guarantees high availability even in case of failures. Large Internet companies like JD, Meituan, and Xiaohongshu have deployed Nebula Graph in production environments. -
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Tutorials Dojo
Tutorials Dojo
Dedicated to helping you pass your AWS, Azure, and Google Cloud exam on your first try! Tutorials Dojo is your one-stop learning portal for tech-related topics, empowering you to upgrade your skills and your career. Founded in Manila, Philippines, Tutorials Dojo is a learning portal for technology-related topics, allowing you to improve your tech skills. AWS, Azure, and GCP certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Earn over $150,000 per year with an AWS, Azure, or GCP certification! The AWS Cloud is constantly transforming the way organizations operate their businesses. Today, code changes can be deployed more frequently and reliably thanks to managed CI/CD services. You can now launch a virtual machine in a matter of seconds and provision your IT infrastructure using codes. -
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AnySQL Maestro
SQL Maestro Group
AnySQL Maestro is the premier multi-purpose admin tool for database management, control and development. SQL Maestro Group offers complete database management and web development solutions for all the most popular database servers providing the highest performance, scalability and reliability to meet the requirements of today's database applications. Support of any database engine (SQL Server, MySQL, Access, etc.) Database designer, data management, editing, grouping, sorting and filtering abilities. Handy SQL Editor with code folding and multi-threading. Visual query builder, data export/import to/from the most popular formats. Powerful BLOB viewer/editor. The application also provides you with a powerful set of tools to edit and execute SQL scripts, build visual diagrams for numeric data, compose OLAP cubes, and much more. High-quality DB2 tools which are as easy in use as Windows explorer.Starting Price: $79 one-time payment -
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Azure Database for MariaDB
Microsoft
Easily deploy applications to the cloud using your choice of languages and frameworks. Achieve business continuity and dynamically respond to changes in customer demand with built-in high availability and elastic scaling. Get unparalleled security and compliance, including Azure IP Advantage, and industry-leading reach through a global network of Microsoft data centers. Choose the right resources for your workloads, with no hidden costs. Combine MariaDB Community edition with the benefits of a fully managed service provider to free developers from complex infrastructure and database management so they can focus on building exceptional apps. Azure Database for MariaDB works with popular open-source frameworks and languages and features tight integration with Azure web apps. Use it with popular content management apps, such as WordPress and Drupal, for a fully integrated experience that supports your specific application development needs. -
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IDERA Precise for Databases
IDERA, an Idera, Inc. company
Precise for Databases helps database administrators to find and fix database performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning. Precise for Databases ensures that databases perform at peak efficiency. It captures, measures, and correlates performance metrics from all critical components of the system. It then detects and corrects the root cause of database and transaction performance problems before they become noticeable for databases and their related applications. Monitor Microsoft SQL Server, Oracle Database, IBM Db2, and SAP Sybase ASE. For each of these database platforms, the interface of Precise looks and behaves the same to minimize the learning curve. Precise for Databases samples the monitored databases once per second or more frequently, has low overhead (typically 1%). -
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Azure HPC
Microsoft
Azure high-performance computing (HPC). Power breakthrough innovations, solve complex problems, and optimize your compute-intensive workloads. Build and run your most demanding workloads in the cloud with a full stack solution purpose-built for HPC. Deliver supercomputing power, interoperability, and near-infinite scalability for compute-intensive workloads with Azure Virtual Machines. Empower decision-making and deliver next-generation AI with industry-leading Azure AI and analytics services. Help secure your data and applications and streamline compliance with multilayered, built-in security and confidential computing. -
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AnzoGraph DB
Cambridge Semantics
With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries. -
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Azure Open Datasets
Microsoft
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure. -
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Azure Network Function Manager
Microsoft
Azure Network Function Manager offers a consistent management experience for pre-validated mobile network functions to enable a private LTE/5G solution. The service also enables a seamless cloud-to-edge experience for Azure Marketplace network functions such as SD-WAN. Run on-premises, secure private 5G/LTE mobile networks that you can rapidly deploy from your choice of mobile packet core network function partner in the Azure portal. These networks provide ultra-low latency to enable real-time edge applications for use cases like augmented reality, virtual reality, and industrial robotics. Easily deploy and manage SD-WAN, VPN solutions at the edge from a rich ecosystem of partners. For a true hybrid experience, use Azure Marketplace to choose from a pre-validated list of marketplace network functions just like the network functions you use for Azure and Azure Virtual WAN, to help ensure proper operation with Azure Stack Edge.Starting Price: Free -
41
Azure Data Lake Analytics
Microsoft
Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data. With no infrastructure to manage, you can process data on demand, scale instantly, and only pay per job. Process big data jobs in seconds with Azure Data Lake Analytics. There is no infrastructure to worry about because there are no servers, virtual machines, or clusters to wait for, manage, or tune. Instantly scale the processing power, measured in Azure Data Lake Analytics Units (AU), from one to thousands for each job. You only pay for the processing that you use per job. Act on all of your data with optimized data virtualization of your relational sources such as Azure SQL Database and Azure Synapse Analytics. Your queries are automatically optimized by moving processing close to the source data without data movement, which maximizes performance and minimizes latency.Starting Price: $2 per hour -
42
Oracle Spatial
Oracle
In keeping with Oracle's mission to help people see data in new ways, discover insights, unlock endless possibilities, Oracle Database now includes machine learning, spatial and graph features. If you have an Oracle Database license, you can use all the industry-leading machine learning, spatial and graph capabilities for development and deployment purposes on-premise and in Oracle Cloud Database Services. Oracle's spatial database is included in Oracle's converged database, allowing developers and analysts to get started easily with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Organizations can manage different types of geospatial data, perform hundreds of spatial analytic operations, and use interactive map visualization tools with the spatial features in Oracle Autonomous Database and Oracle Database. -
43
Apache DataFusion
Apache Software Foundation
Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.Starting Price: Free -
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Azure Migrate
Microsoft
Get all of the Azure migration tools and guidance you need to plan and implement your move to the cloud—and track your progress using a central dashboard that provides intelligent insights. Support for key migration scenarios across servers, data, databases, web apps, and virtual desktops. Comprehensive discovery, assessment, and migration capabilities powered by Azure and partner tools. Centralized migration repository delivering end-to-end tracking and insights. Cost-efficient migration with Azure cost optimization features and tools. The guided experience and progress dashboard walk you through discovery, assessment, and migration phases for different business areas in one central data repository. Make the best migration decisions with built-in insights and recommendations. Migrate efficiently with rapid lift-and-shift migration tools, all included in your Azure subscription at no additional cost. -
45
TIBCO Streaming
TIBCO
TIBCO Streaming is a real-time analytics platform designed to process and analyze high-velocity data streams, enabling organizations to make immediate, data-driven decisions. It offers a low-code development environment through StreamBase Studio, allowing users to build complex event processing applications with minimal coding. It supports over 150 connectors, including APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, facilitating seamless integration with various data sources. TIBCO Streaming incorporates dynamic learning operators, enabling adaptive machine learning models that provide contextual insights and automate decision-making processes. It also features real-time business intelligence capabilities, allowing users to visualize live data alongside historical information for comprehensive analysis. It is cloud-ready, supporting deployments on AWS, Azure, GCP, and on-premises environments. -
46
Azure Time Series Insights
Microsoft
Azure Time Series Insights Gen2 is an open and scalable end-to-end IoT analytics service featuring best-in-class user experiences and rich APIs to integrate its powerful capabilities into your existing workflow or application. You can use it to collect, process, store, query and visualize data at Internet of Things (IoT) scale--data that's highly contextualized and optimized for time series. Azure Time Series Insights Gen2 is designed for ad hoc data exploration and operational analysis allowing you to uncover hidden trends, spotting anomalies, and conduct root-cause analysis. It's an open and flexible offering that meets the broad needs of industrial IoT deployments.Starting Price: $36.208 per unit per month -
47
Fly.io
Fly.io
Fly.io is a modern cloud platform designed to help developers deploy and run applications quickly and efficiently. It uses lightweight virtual machines called Fly Machines that start instantly and scale based on demand. The platform allows developers to run any code in secure, hardware-isolated environments without complex infrastructure setup. Fly.io supports global deployment across multiple regions, ensuring low-latency performance for users worldwide. It also includes built-in private networking, storage solutions, and monitoring tools. Developers can use their preferred frameworks and tools without needing extensive configuration. By simplifying cloud infrastructure, Fly.io enables teams to build, deploy, and scale applications with ease.Starting Price: $0.02 per GB -
48
Microsoft Azure Responsible AI
Microsoft
Confidently scale the next generation of safe, responsible AI applications. Confidently scale AI across your organization with industry-leading technologies and best practices that help manage risk, improve accuracy, protect privacy, reinforce transparency, and simplify compliance. Empower cross-functional teams to build the next generation of AI applications safely, using built-in tools and templates that help integrate responsible AI in open source, machine learning operations, and generative AI workflows. Detect and mitigate harmful use with built-in responsible AI, enterprise-grade Azure security, and responsible AI tooling. Monitor text and images to detect offensive or inappropriate content. Empower rapid machine-learning model deployment and seamless collaboration with the prompt flow, driving accelerated time to value. Develop generative AI applications and custom copilots in one platform. -
49
DBmaestro
DBmaestro
DBmaestro’s DevOps Platform paves the way for safe implementation of CI/CD for Oracle, MS-SQL, DB2, PostgreSQL, MySQL and MariaDB databases. DBmaestro brings DevOps best practices to the database, delivering a new level of speed, efficiency, security and process integration. With DBmaestro’s solutions, organizations can run database deployments safely and methodically, increasing development team productivity and expediting time-to-market, making unplanned database downtime a thing of the past. The platform combines several key features that make its value greater than the sum of its parts: repeatable release automation, database version control, governance and security modules, and a business activity monitor. The result is complete database oversight from a single source and a vital edge over the competition. DBmaestro’s zero-friction platform harmoniously complements all major databases, without requiring database engineering teams to change their core processes. -
50
evoML
TurinTech AI
evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention.
