Tag: cloud
Filtered selection of tools tagged cloud.
Microsoft Azure API Management
Microsoft Azure API Management is a comprehensive cloud solution for managing, securing, and scaling APIs. The platform enables developers and enterprises to efficiently deploy, monitor, and protect APIs—all through a centralized interface within the Microsoft Azure Cloud. With flexible customization options, Azure API Management supports the integration of various backend services and fosters collaboration between API providers and developers.
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service from AWS built for fast, predictable performance at any scale.
AWS Textract
AWS Textract is a cloud service for extracting text, tables, form fields, and structured document data inside AWS architectures.
CockroachDB
CockroachDB is a distributed SQL database built for high availability, scalability, and simple management in cloud environments.
MongoDB
MongoDB is a document-oriented NoSQL database known for its high flexibility and scalability. It allows developers to store data in JSON-like documents and represent complex data models without rigid table structures. With extensive cloud services and a broad ecosystem of tools, MongoDB supports modern applications across a wide range of industries.
Redis
Redis is a powerful, open-source in-memory data structure database that is used as a database, cache, and message broker. Because of its high speed and versatility, Redis is especially well suited for applications that require fast data access and low latency. It supports various data structures such as strings, lists, hashes, sets, and sorted sets, making it a popular tool in the developer community.
Alibaba Cloud AI
Alibaba Cloud AI is a comprehensive artificial intelligence platform that gives businesses powerful tools and services to develop, deploy, and scale AI applications in the cloud. The platform combines advanced machine learning algorithms, cloud infrastructure, and industry-specific solutions to cover a wide range of use cases.
Amazon Aurora
Amazon Aurora is a relational database engine developed by Amazon Web Services (AWS), fully compatible with MySQL and PostgreSQL. It combines the performance and availability of commercial databases with the simplicity and cost-effectiveness of open-source databases. Aurora offers a high-performance, scalable, and secure cloud database solution ideal for developers and businesses that require reliable database services.
Amazon EMR
Amazon EMR is a scalable AWS cloud service for processing and analyzing large data sets with frameworks like Hadoop, Spark, and Presto. It automates cluster setup, operations, scaling, and maintenance for big data, streaming, batch analytics, and machine learning workflows.
Amazon MSK
Amazon MSK (Managed Streaming for Apache Kafka) is a fully managed service by Amazon Web Services that enables developers to deploy, operate, and scale Apache Kafka clusters in the cloud. It allows businesses to easily implement streaming data pipelines and real-time applications without the complexity of managing Kafka infrastructure.
Amazon OpenSearch
Amazon OpenSearch Service is a managed AWS search and analytics service for logs, full-text search, observability, and operational dashboards.
Amazon SageMaker Autopilot
AWS's cloud-based AutoML service that automatically builds, trains, and optimizes machine-learning models from uploaded data.
Amazon Simple Notification Service (SNS)
Amazon Simple Notification Service (SNS) is a scalable, flexible cloud messaging service for sending notifications and event-driven messages across email, SMS, mobile devices, and AWS integrations.
Apache Hive
Apache Hive is an open-source data storage software specifically designed for analyzing large datasets in distributed environments. Originally developed by Facebook and later handed over to the Apache Software Foundation, Hive enables the execution of SQL-like queries on Hadoop data. It serves as a bridge between traditional database technologies and big-data frameworks by abstracting the complexity of MapReduce and other Hadoop operations.
Apigee (Google Cloud)
Apigee is a comprehensive API management platform by Google Cloud designed to help developers and businesses create, secure, monitor, and scale APIs. Emphasizing cloud integration, Apigee offers powerful tools for managing the entire API lifecycle, supporting modern applications and digital transformation.
AWS Bedrock
AWS Bedrock is a cloud-based service from Amazon Web Services that provides developers with access to Large Language Models (LLMs) from various providers through a unified API. It enables businesses to develop AI-powered applications more quickly and easily without having to manage the underlying infrastructure. The service supports building scalable and flexible custom AI solutions.
AWS Cloud9
A cloud-based AWS development environment that keeps code, terminal, runtime, and AWS resources close together for browser-based work on cloud projects.
AWS Kinesis
AWS Kinesis is a scalable cloud service from Amazon Web Services that enables real-time data capture, processing, and analysis. It is particularly suited for companies that need to process large amounts of data from various sources quickly and reliably to enable timely insights and reactions.
AWS Lambda
AWS Lambda is a serverless computing service from Amazon Web Services (AWS) that enables developers to run code without managing the underlying infrastructure. Lambda allows functions to be deployed in various programming languages and automatically scales based on actual demand. This makes it ideal for event-driven applications, API backends, data processing, and more.
Azure AI Document Intelligence
Azure AI Document Intelligence is Microsoft's service for OCR, form analysis, and structured document extraction in Azure and Microsoft 365-adjacent architectures.
Azure Functions
Azure Functions is a serverless compute service by Microsoft Azure that allows developers to run code triggered by events without managing the underlying infrastructure. It enables rapid creation of scalable APIs, automations, and microservices to make applications more efficient.
Azure Stream Analytics
Azure Stream Analytics is Microsoft's managed service for streaming queries inside Azure. It ingests continuous data from sources such as Event Hubs, IoT Hub, or Blob Storage, processes it with SQL-like queries, and writes results into analytics, monitoring, or automation targets. Its appeal is strongest when teams want real-time logic without running their own stream-processing cluster.
ClickHouse Cloud
ClickHouse Cloud is a scalable, cloud-based data platform based on the high-performance Open-Source database ClickHouse. It enables businesses and developers to analyze large amounts of data in real-time without having to worry about the underlying infrastructure. As a managed service, ClickHouse Cloud offers a simple way to perform fast and efficient analysis in the cloud, taking advantage of the flexibility and scalability of modern cloud architectures.
Cloudera Data Platform
Enterprise data platform for hybrid analytics and governance, with data management, security, analytics, machine learning, and multi-cloud support.
Couchbase
Couchbase is a powerful NoSQL database platform designed for modern applications that require high scalability, flexibility, and performance. It combines the benefits of document-oriented databases with multi-model data management support, offering extensive features for developers and businesses building cloud-native, data-intensive applications.
Dremio
Dremio is a modern data platform that enables businesses to quickly and efficiently analyze data from various sources. With a focus on self-service analytics, Dremio combines powerful data virtualization, cloud integration, and AI-driven optimizations to simplify access to data for developers, analysts, and data scientists. The platform supports heterogeneous data sources and accelerates data preparation and analysis processes.
Espresso
Espresso is a modern AI tool designed specifically for data analysis, machine learning, and automation in the cloud. It helps businesses make data-driven decisions and implement complex analyses efficiently. With the integration of various machine learning algorithms and automation features, Espresso enables flexible and scalable usage.
Firebase Realtime Database
Firebase Realtime Database is a cloud-based NoSQL database designed specifically for developers who need real-time data transfer and synchronization in their applications. It enables storing and retrieving data in real time, keeping apps dynamic and responsive. Data is stored as JSON and automatically synchronized across all connected clients, which is especially beneficial for collaborative apps, chat applications, or live dashboards.
Google Bigtable
Google Bigtable is a powerful, distributed NoSQL database designed specifically for large datasets and high scalability. As part of the Google Cloud Platform, Bigtable offers a fast and reliable solution for developers looking to store and analyze large amounts of structured data. It is especially suitable for applications requiring low latency and high availability, such as IoT, real-time analytics, or financial services.
Google Cloud Dataproc
Google Cloud Dataproc ist ein verwalteter Cloud-Service zur schnellen und einfachen Verarbeitung großer Datenmengen. Er ermöglicht die Ausführung von Open-Source-Tools wie Apache Hadoop, Apache Spark und Apache Hive in der Google Cloud Platform (GCP). Mit Dataproc können Unternehmen Datenanalyse- und Machine-Learning-Workloads skalieren, ohne sich um die Verwaltung der zugrundeliegenden Infrastruktur kümmern zu müssen.
Google Cloud Firestore
Google Cloud Firestore is a flexible, scalable NoSQL database designed specifically for building modern web and mobile applications in the cloud. Part of the Google Cloud Platform, Firestore offers a serverless infrastructure that lets developers focus on application logic without managing database servers. It supports real-time synchronization and offline-capable applications, making it ideal for projects requiring fast, reliable, and scalable data storage.
Google Cloud Functions
Google Cloud Functions is a serverless compute service from Google that allows developers to run code in the cloud without having to manage server infrastructure or scaling. Functions are triggered by events such as HTTP requests, Cloud events, or changes in cloud storage, making it ideal for rapid development and deployment of APIs, microservices, and backend logic.
Google Cloud Pub/Sub
Google Cloud Pub/Sub is a fully managed messaging service for asynchronous communication between applications, services, and data systems. It is built for event driven architectures where publishers send messages to topics and subscribers consume them independently. This separation helps teams connect systems without forcing every service to know exactly who receives each event.
Google Cloud Spanner
Google Cloud Spanner is a globally distributed, scalable, and managed relational database service by Google, designed for demanding applications that require high availability and strong consistency. It offers a hybrid solution combining the benefits of relational databases with the scalability of NoSQL systems, making it ideal for developers building cloud-native applications with large datasets and complex transactions.
Google Cloud Translation
Google Cloud Translation is a powerful cloud-based translation service from Google that enables automatic translation of text and documents in over 100 languages. Leveraging modern AI technologies, the service provides fast, reliable, and scalable translations that seamlessly integrate into applications, websites, or workflows. Whether for businesses, developers, or individuals, Google Cloud Translation helps overcome language barriers and facilitate global communication.
Google Document AI
Google Document AI combines OCR, specialized document processors, and structured extraction for teams processing document data in Google Cloud workflows.
Google Vertex AI
Google Vertex AI is a comprehensive machine learning and artificial intelligence platform offered by Google Cloud. It enables developers and businesses to quickly build, train, and deploy ML models in production — all in a centralized and scalable way. Vertex AI simplifies the complex workflows of MLOps and supports both beginners and experienced data scientists with powerful tools.
Grafana Cloud
Grafana Cloud is a managed observability platform for metrics, logs, traces, dashboards, alerts, and performance monitoring.
Microsoft Azure Automated ML
Microsoft Azure Automated ML is a cloud-based service for automatically creating, training, and deploying machine learning models. It helps data science teams, developers, and analysts build predictive models efficiently with automated algorithm selection, feature engineering, and scalable Azure integration.
Microsoft Azure Cognitive Search
Microsoft Azure Cognitive Search is a cloud-based search service that offers developers powerful search capabilities with integrated artificial intelligence (AI). It enables easy searching of structured and unstructured data, providing relevant results quickly. By combining search technologies with AI-powered features, customized search experiences can be developed for web, mobile, and enterprise applications.
Microsoft Azure Cosmos DB
Microsoft Azure Cosmos DB is a globally distributed, multi-model database platform designed specifically for modern cloud application development. It provides developers with a scalable and highly available solution for managing data with low latency and built-in analytics support. Cosmos DB supports various data models such as document, key-value, graph, and column-family, making it highly versatile.
Microsoft Azure Data Factory
Microsoft Azure Data Factory is a cloud-based service for orchestrating and automating data integration processes. It enables businesses to collect data from diverse sources, transform it, and load it into target systems. With its scalability and integration within the Azure ecosystem, Azure Data Factory supports modern data pipelines and ETL (Extract, Transform, Load) processes in the cloud.
Microsoft Azure Event Hubs
Microsoft Azure Event Hubs is a scalable, highly available cloud service for real-time event ingestion and processing. It supports high-volume telemetry, log analysis, and streaming analytics use cases, with integration across the Azure ecosystem.
Microsoft Azure Face API
Microsoft Azure Face API is a powerful cloud-based service for face recognition and analysis. It enables developers to integrate features like face detection, face analysis, and identity verification into their applications. Utilizing advanced AI and computer vision technologies, the API can recognize, compare, and analyze faces in images—making it ideal for security solutions, user recognition, and personalized experiences.
Microsoft Azure HDInsight
A fully managed cloud service for running Hadoop, Spark, Kafka, and other open-source big data workloads on Azure.
Microsoft Azure Notification Hubs
Microsoft Azure Notification Hubs is a scalable cloud service that enables developers to send push notifications to millions of mobile devices and platforms. It supports various operating systems such as iOS, Android, Windows, and more, facilitating the integration of messaging functionalities into mobile and web applications.
Microsoft Azure Service Bus
Microsoft Azure Service Bus is a highly scalable cloud messaging service that enables developers to establish reliable and asynchronous communication between distributed applications and services. It allows secure and orderly message transmission, queue management, and event distribution through topics and subscriptions. This facilitates the integration of complex systems and supports automation processes in cloud and hybrid environments.
MongoDB Atlas
MongoDB Atlas is a cloud-based database platform that provides developers with a fully managed, scalable, and secure environment to operate MongoDB databases. It enables businesses and developers to run their databases without the burden of managing infrastructure, allowing them to focus on application development. The platform supports multiple cloud providers and offers flexible tools for data analysis, backup, and monitoring.
NATS
NATS is an open-source messaging system for cloud-native applications, microservices, event streams, and distributed systems.
OpenFaaS
OpenFaaS is an open-source platform that allows developers to easily create, deploy, and manage serverless functions. Focusing on containerization and cloud integration, OpenFaaS provides a flexible environment for running microservices and functions independently of the underlying infrastructure. The platform supports multiple programming languages and can be used both locally and in the cloud.
Redpanda
Redpanda is a Kafka-compatible streaming platform for teams that want lower infrastructure complexity without giving up performance, compatibility, or cloud-native operations.
Snowflake
Snowflake is a cloud-based data warehouse platform designed specifically for modern data analytics and processing. It enables companies to store, process, and analyze large volumes of data efficiently, all in the cloud. With Snowflake, users can bring together data from different sources, run complex queries, and make data-driven decisions.
Snowflake Snowpipe
A cloud-based service for continuous data ingestion into Snowflake, designed for automated, near real-time loading from cloud storage into data warehouse environments.
Teradata Vantage
A powerful data management and analytics platform for enterprises that need to process and analyze large volumes of data efficiently across cloud, hybrid, and on-premise environments.
Valohai
Valohai is an MLOps platform for automating the full machine learning lifecycle, from training and versioning to scaling and deployment.