Alternatives to Leo
Compare Leo alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Leo in 2026. Compare features, ratings, user reviews, pricing, and more from Leo competitors and alternatives in order to make an informed decision for your business.
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Tyk
Tyk Technologies
Tyk is a leading Open Source API Gateway and Management Platform, featuring an API gateway, analytics, developer portal and dashboard. We power billions of transactions for thousands of innovative organisations. By making our capabilities easily accessible to developers, we make it fast, simple and low-risk for big enterprises to manage their APIs, adopt microservices and adopt GraphQL. Whether self-managed, cloud or a hybrid, our unique architecture and capabilities enable large, complex, global organisations to quickly deliver highly secure, highly regulated API-first applications and products that span multiple clouds and geographies.Starting Price: $600/month -
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Epsagon
Epsagon
Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Increase development velocity and reduce application downtime with Epsagon.Starting Price: $89 per month -
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Striim
Striim
Data integration for your hybrid cloud. Modern, reliable data integration across your private and public cloud. All in real-time with change data capture and data streams. Built by the executive & technical team from GoldenGate Software, Striim brings decades of experience in mission-critical enterprise workloads. Striim scales out as a distributed platform in your environment or in the cloud. Scalability is fully configurable by your team. Striim is fully secure with HIPAA and GDPR compliance. Built ground up for modern enterprise workloads in the cloud or on-premise. Drag and drop to create data flows between your sources and targets. Process, enrich, and analyze your streaming data with real-time SQL queries. -
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Spring Cloud Data Flow
Spring
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model. -
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Confluent
Confluent
Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless. -
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DeltaStream
DeltaStream
DeltaStream is a unified serverless stream processing platform that integrates with streaming storage services. Think about it as the compute layer on top of your streaming storage. It provides functionalities of streaming analytics(Stream processing) and streaming databases along with additional features to provide a complete platform to manage, process, secure and share streaming data. DeltaStream provides a SQL based interface where you can easily create stream processing applications such as streaming pipelines, materialized views, microservices and many more. It has a pluggable processing engine and currently uses Apache Flink as its primary stream processing engine. DeltaStream is more than just a query processing layer on top of Kafka or Kinesis. It brings relational database concepts to the data streaming world, including namespacing and role based access control enabling you to securely access, process and share your streaming data regardless of where they are stored. -
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Cloudera DataFlow
Cloudera
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. -
8
Conductor
Netflix
Conductor is a workflow orchestration engine that runs in the cloud. Conductor was built to help Netflix orchestrate microservices-based process flows with the following features. A distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. A DAG (Directed Acyclic Graph) based workflow definition. Workflow definitions are decoupled from the service implementations. Provide visibility and traceability to these process flows. Simple interface to connect workers, which execute the tasks in workflows. Workers are language agnostic, allowing each microservice to be written in the language most suited for the service. Full operational control over workflows with the ability to pause, resume, restart, retry and terminate. Allow greater reuse of existing microservices providing an easier path for onboarding. -
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webMethods.io API
Software AG
Connect data, apps, devices—all the “things” you need to speed innovation with APIs and microservices. Get new products and services out the door—faster! APIs and microservices can help you deliver new and differentiating products and services that improve customer engagement and loyalty to positively impact your bottom line. From new mobile applications and omnichannel initiatives, to improved e-commerce and business processes, APIs and microservices power differentiation and business growth in disruptive markets. Protect APIs, data and microservices with authentication and access control. Set thresholds and limits to control API usage. Group and manage microservices just like you would with business apps. Reuse and govern them to take control and avoid chaos. Monitor who's using your APIs and microservices with increased transparency. Measure what's being consumed to directly or indirectly impact revenue. Create a storefront for your APIs with an API portal. -
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Amazon Kinesis
Amazon
Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days. -
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Martini
TORO Cloud
Join the growing community of integration ninjas using Martini™ to integrate faster. Gloop eliminates the grunt work required when creating services for application and data integration, building APIs, and managing data. Gloop makes it easy to perform common development tasks such as mapping and transforming data, iterating over arrays, executing if-else and switch-case logic, invoking external code, running jobs in parallel, and so much more. Flux is Martini’s event based workflow engine for managing asynchronous workflows and event based triggers of Gloop microservices. With Flux you can invoke Gloop microservices sequentially, passing the output of one to the other, and/or in parallel, and Flux will maintain the state of each execution for you. Flux workflows are created visually by dragging Flux states onto a canvas and selecting the Gloop microservice you would like executed when the state is invoked.Starting Price: $500 per month -
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Arroyo
Arroyo
Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes. -
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IBM Event Streams is a fully managed event streaming platform built on Apache Kafka, designed to help enterprises process and respond to real-time data streams. With capabilities for machine learning integration, high availability, and secure cloud deployment, it enables organizations to create intelligent applications that react to events as they happen. The platform supports multi-cloud environments, disaster recovery, and geo-replication, making it ideal for mission-critical workloads. IBM Event Streams simplifies building and scaling real-time, event-driven solutions, ensuring data is processed quickly and efficiently.
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Informatica Data Engineering Streaming
Informatica
AI-powered Informatica Data Engineering Streaming enables data engineers to ingest, process, and analyze real-time streaming data for actionable insights. Advanced serverless deployment option with integrated metering dashboard cuts admin overhead. Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC). Ingest thousands of databases and millions of files, and streaming events. Efficiently ingest databases, files, and streaming data for real-time data replication and streaming analytics. Find and inventory all data assets throughout your organization. Intelligently discover and prepare trusted data for advanced analytics and AI/ML projects. -
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Aiven
Aiven
Aiven manages your open source data infrastructure in the cloud - so you don't have to. Developers can do what they do best: create applications. We do what we do best: manage cloud data infrastructure. All solutions are open source. You can also freely move data between clouds or create multi-cloud environments. Know exactly how much you’ll be paying and why. We bundle networking, storage and basic support costs together. We are committed to keeping your Aiven software online. If there’s ever an issue, we’ll be there to fix it. Deploy a service on the Aiven platform in 10 minutes. Sign up - no credit card info needed. Select your open source service, and the cloud and region to deploy to. Choose your plan - you have $300 in free credits. Click "Create service" and go on to configure your data sources. Stay in control of your data using powerful open-source services.Starting Price: $200.00 per month -
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Skava
Infosys
No matter where you are in your digital commerce transformation journey, our ready-to-use microservices, development framework and modern, flexible React.js storefront have you covered. Forget a rip-and-replace project that swaps your legacy system for a new monolith. Our full suite of ready-to-use microservices can be deployed together or a la carte alongside your monolith. Let the business drive and replatform your way, at your pace. Building your own microservices? Don’t reinvent the wheel. From orchestration and messaging to caching, monitoring, authentication and more, leverage our modern and robust microservice framework and best-of-breed technology stack. Our flexible React and Node storefront supports modular design and reusable code for rapid development and Single Page Application (SPA) and Progressive Web Apps (PWA) for lightning fast user experiences. Front end changes never mess with back end code. -
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WarpStream
WarpStream
WarpStream is an Apache Kafka-compatible data streaming platform built directly on top of object storage, with no inter-AZ networking costs, no disks to manage, and infinitely scalable, all within your VPC. WarpStream is deployed as a stateless and auto-scaling agent binary in your VPC with no local disks to manage. Agents stream data directly to and from object storage with no buffering on local disks and no data tiering. Create new “virtual clusters” in our control plane instantly. Support different environments, teams, or projects without managing any dedicated infrastructure. WarpStream is protocol compatible with Apache Kafka, so you can keep using all your favorite tools and software. No need to rewrite your application or use a proprietary SDK. Just change the URL in your favorite Kafka client library and start streaming. Never again have to choose between reliability and your budget.Starting Price: $2,987 per month -
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Google Cloud Dataflow
Google
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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Streaming service is a real-time, serverless, Apache Kafka-compatible event streaming platform for developers and data scientists. Streaming is tightly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. The service also provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications. Data engineers can easily set up and operate big data pipelines. Oracle handles all infrastructure and platform management for event streaming, including provisioning, scaling, and security patching. With the help of consumer groups, Streaming can provide state management for thousands of consumers. This helps developers easily build applications at scale.
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Eclipse ioFog
Eclipse
Start building your first Eclipse ioFogTM application today. Eclipse ioFog is free, open source, and it always will be. By installing Eclipse ioFogTM to any device (with minimal amount of compute) you create a distributed Edge Compute Network (ECN), enabling you to run any microservice on it dynamically, securely, and remotely. Runs on each of your edge devices, giving you a microservice platform. Provides you remote control over the microservices. Brokers communication between microservices, across complex networks. Imagine a world where you can choose self-contained pieces of code (called microservices) and make them run anywhere you want at the push of a button. Where you can remotely control the code that is running on twenty iPhones in workers' pockets, thirty servers running in a factory building, and ten computers running in the trucks that ship your products. And you can do it all with the same technology. -
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Astra Streaming
DataStax
Responsive applications keep users engaged and developers inspired. Rise to meet these ever-increasing expectations with the DataStax Astra Streaming service platform. DataStax Astra Streaming is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows you to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform. Astra Streaming is powered by Apache Pulsar, the next-generation event streaming platform which provides a unified solution for streaming, queuing, pub/sub, and stream processing. Astra Streaming is a natural complement to Astra DB. Using Astra Streaming, existing Astra DB users can easily build real-time data pipelines into and out of their Astra DB instances. With Astra Streaming, avoid vendor lock-in and deploy on any of the major public clouds (AWS, GCP, Azure) compatible with open-source Apache Pulsar. -
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Spark Streaming
Apache Software Foundation
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability. -
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Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
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Nussknacker
Nussknacker
Nussknacker is a low-code visual tool for domain experts to define and run real-time decisioning algorithms instead of implementing them in the code. It serves where real-time actions on data have to be made: real-time marketing, fraud detection, Internet of Things, Customer 360, and Machine Learning inferring. An essential part of Nussknacker is a visual design tool for decision algorithms. It allows not-so-technical users – analysts or business people – to define decision logic in an imperative, easy-to-follow, and understandable way. Once authored, with a click of a button, scenarios are deployed for execution. And can be changed and redeployed anytime there’s a need. Nussknacker supports two processing modes: streaming and request-response. In streaming mode, it uses Kafka as its primary interface. It supports both stateful and stateless processing.Starting Price: 0 -
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Enactor
Enactor
Quite Simply, the best POS Any Device, Mobile, Fixed or HHT. Windows, Android, Linux or iOS. One single code-base and highly configurable. All built by our Microservice Tools. Our Platform of Microservices for Headless Commerce and Unified Customer Journeys. A set of Services like Basket and Promotions that are uniquely with our Tools, to make it the back-bone for all channels. Leverage the power of Docker, SWARM and Kubernetes in AWS or Azure. Use our Deployment Tools to deploy in the Cloud in just minutes. Run it yourselves or we can do it for you. Full and flexible Omnichannel Order Management and Inventory. Accommodate all business rules, integrations and customer journeys, including Ship From Store. Ditch the Monoliths. Our Applications and Tools enable business models that mean large retailers can do things differently. From easy configuration and integration to self-sufficiency. It’s all here. -
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TEM embraces the Spring Cloud open source community and serves as a highly available, scalable, and flexible commercialized component-based microservice technology platform. It enables the modification-free and intrusion-free migration of Spring Cloud applications to the elastic microservice architecture, reducing your migration time and labor costs. TEM offers application hosting services that manage the entire lifecycle of cloud native microservice applications. With the aid of TEM, you can create, deploy, scale, stop, deactivate, and monitor applications simply, efficiently, securely, and flexibly without having to manage the underlying infrastructure. TEM enables you to easily, quickly, and smoothly migrate your businesses to the cloud without modifying your business code, which eliminates learning costs, greatly reduces your Ops costs, and helps you achieve better business outcomes.
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27
PubSub+ Platform
Solace
Solace PubSub+ Platform helps enterprises design, deploy and manage event-driven systems across hybrid and multi-cloud and IoT environments so they can be more event-driven and operate in real-time. The PubSub+ Platform includes the powerful PubSub+ Event Brokers, event management capabilities with PubSub+ Event Portal, as well as monitoring and integration capabilities all available via a single cloud console. PubSub+ allows easy creation of an event mesh, an interconnected network of event brokers, allowing for seamless and dynamic data movement across highly distributed network environments. PubSub+ Event Brokers can be deployed as fully managed cloud services, self-managed software in private cloud or on-premises environments, or as turnkey hardware appliances for unparalleled performance and low TCO. PubSub+ Event Portal is a complimentary toolset for design and governance of event-driven systems including both Solace and Kafka-based event broker environments. -
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PivotData Microservice
NReco
PivotData microservice is a simple way to add self-service analytics & BI reporting into your web application. Configure your data sources with JSON config and generate pivot tables and charts reports with web API. PivotData microservice is an analytics backend that translates reports defined in terms of the cube model (dimensions, metrics, parameters) into database queries. Reporting engine manages caching, queuing, calculations, DB connections and exports to various formats. Unique capabilility is a rendering of HTML pivot tables: they simply may be shown on any web page.Starting Price: $499 one-time payment -
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Azure Front Door
Microsoft
Scalable and secure entry point for fast delivery of your global applications. Easily join your distributed microservice architectures into a single global application using HTTP load balancing and path-based routing rules. Automate turning up new regions and scale-out with API-driven global actions, and independent fault-tolerance to your back end microservices in Azure—or anywhere. Deliver and protect your global application close to your end users with a "battle-tested" service built on world-class Microsoft Global Network infrastructure. Always keep your traffic on the best path to your app, improve your service scale, reduce latency, and increase throughput for your global users with edge load balancing and application acceleration. Easily manage domain mapping and traffic to your microservice backends using one central, global dashboard. -
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effx
effx
The simplest way to navigate and operate your microservices. Whether you only have two or thousands of microservices, effx will track and guide you regardless of orchestration system, public cloud, or on-premise environment. Incidents across a fleet of microservices are rarely simple. effx provides context to help you orient around the potential causes of every outage in real-time. You’ve invested in your ability to know when production breaks. We help you proactively prepare for those moments by scoring services on key attributes that ensure they’re ready. -
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Yandex Data Streams
Yandex
Simplifies data exchange between components in microservice architectures. When used as a transport for microservices, it simplifies integration, increases reliability, and improves scaling. Read and write data in near real-time. Set data throughput and storage times to meet your needs. Enjoy granular configuration of the resources for processing data streams, from small streams of 100 KB/s to streams of 100 MB/s. Deliver a single stream to multiple targets with different retention policies using Yandex Data Transfer. Data is automatically replicated across multiple geographically distributed availability zones. Once created, you can manage data streams centrally in the management console or using the API. Yandex Data Streams can continuously collect data from sources like website browsing histories, application and system logs, and social media feeds. Yandex Data Streams is capable of continuously collecting data from sources such as website browsing histories, application logs, etc.Starting Price: $0.086400 per GB -
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Fluentd
Fluentd Project
A single, unified logging layer is key to make log data accessible and usable. However, existing tools fall short: legacy tools are not built for new cloud APIs and microservice-oriented architecture in mind and are not innovating quickly enough. Fluentd, created by Treasure Data, solves the challenges of building a unified logging layer with a modular architecture, an extensible plugin model, and a performance optimized engine. In addition to these features, Fluentd Enterprise addresses Enterprise requirements such as Trusted Packaging. Security. Certified Enterprise Connectors, Management / Monitoring, and Enterprise SLA-Based Support, Assurance, and Enterprise Consulting Services -
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Lura
Lura
An extendable, simple and stateless high-performance API Gateway framework designed for both cloud-native and on-prem setups. Consumers of REST API content (especially in microservices) often query backend services that weren’t coded for the UI implementation. This is of course a good practice, but the UI consumers need to do implementations that suffer a lot of complexity and burden with the sizes of their microservices responses. Lura is an API Gateway builder and proxy generator that sits between the client and all the source servers, adding a new layer that removes all the complexity to the clients, providing them only the information that the UI needs. Lura acts as an aggregator of many sources into single endpoints and allows you to group, wrap, transform and shrink responses. Additionally, it supports a myriad of middlewares and plugins that allow you to extend the functionality, such as adding Oauth authorization or security layers. -
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Layer7 Live API Creator
Broadcom
Shrink the gap from idea to execution. Get APIs to market faster with secure low-code API development and microservice creation. Layer7 Live API Creator (formerly CA Live API Creator) can be used standalone or with Layer7 API Management. Developers can use a visual interface to speed API development and microservice creation, building new data schemas or integrating existing data sources and systems. Business users can create APIs without deep technical knowledge. Increases agility by reducing the time it takes to create data processing systems. Applying reactive logic rules across diverse data sources enables easy business policy and security enforcement. Reactive logic is auto-ordered, chained and executed integration with events and Webhooks, so you can enhance and extend in JavaScript/Java. Enhances data exploration and transaction processing. Layer7 Live API Creator delivers a customizable UI dynamically generated from data schema. -
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Develop cloud-native applications that automate business decisions and processes. Red Hat® Process Automation Manager is a platform for developing containerized microservices and applications that automate business decisions and processes. Process Automation Manager includes business process management (BPM), business rules management (BRM), and business resource optimization and complex event processing (CEP) technologies. It also includes a user experience platform to create engaging user interfaces for process and decision services with minimal coding. Everything business users need to model flows and policies: Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models and domain-specific rule languages. Build in the cloud, for the cloud. Deploy completed models as containerized microservices on Red Hat OpenShift. Utilize the full capabilities of Drools, a powerful and widely used open source rules engine.
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Pneuron
Pneuron
Pneuron™ enables you to easily connect to and work with the diversity of assets you have, can reach, and want to acquire so that you can focus on building value from your data and not worry about complex application integrations. Think low code, Think drag and drop, think microservices, think containers. All bundled into one platform! Pneuron is a low code product that integrates disparate data on heterogeneous technologies. Data can then be orchestrated to create complex application workflows. It facilitates a low-touch approach to enterprise infrastructure, data is not moved, but data sources and applications in a complex distributed ecosystem are leveraged as-is. Pneuron is the perfect tool for enterprises seeking to leverage value quickly without impacting enterprise initiatives, processes and resources. Rapidly connect diverse assets into intelligent workflows using the Pneuron platform’s microservices-style architecture. -
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Styra
Styra
The fastest and easiest way to operationalize Open Policy Agent across Kubernetes, Microservices or Custom APIs, whether you're a developer, an admin, or a bit of both. Need to limit which folks can access your pipeline, based on who is currently on call? Simple. Want to define which microservices can access PCI data? We got you. Have to prove compliance with regulations across your clusters? No sweat. Built on open-source, and declarative by design, Styra Declarative Authorization Service gives you a turnkey OPA control plane to mitigate risk, reduce human error, and accelerate development. A built-in library of policies. Built on our OPA project let you implement and customize authorization policy-as-code. Pre-running lets you monitor and validate policy changes before committing, to mitigate risk before deployment. Declarative model defines desired state to prevent security drift and eliminate errors, before they can occur.Starting Price: $70 per month -
38
Mainflux
Mainflux
Full stack capabilities developed as microservices containerized by Docker and orchestrated with Kubernetes. Multi-protocol support and hardware agnostic. Connect any device and any 3rd-party application. Secured connections via TLS and DTLS. Mutual TLS authentication based on X.509 certificates. Mainflux software infrastructure stack is composed of all components and microservices necessary for IoT solutions, projects or products. The IoT Platform will facilitate the interoperability of the with existing enterprise applications and other IoT solutions. Bidirectional communication (interaction) with very large number of devices and gateways, using different open protocols and data formats. Normalization of the messages for easy integration with the rest of the infrastructure. -
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JHipster
JHipster
JHipster is a development platform to quickly generate, develop, and deploy modern web applications and microservice architectures. We support many frontend technologies, including Angular, React, and Vue. We even have mobile app support for Ionic and React Native! On the backend, we support Spring Boot (with Java or Kotlin), Micronaut, Quarkus, Node.js, and . NET. For deployment, we embrace cloud-native principles with Docker and Kubernetes. Deployment support exists for AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. Our goal is to generate a complete and modern web app or microservice architecture. A high-performance and robust server-side stack with excellent test coverage. A sleek, modern, mobile-first UI with Angular, React, or Vue + Bootstrap for CSS. A powerful workflow to build your application with Webpack and Maven or Gradle. Resilient microservice architecture with cloud-native principles in mind. -
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Seneca
Seneca
Seneca is a microservices toolkit for Node.js. It helps you write clean, organized code that you can scale and deploy at any time. Seneca is a microservices toolkit for Node.js. It provides plugins that look after the foundations of your app. This leaves you free to focus on the real, business code. No need to worry about which database to use, how to structure your components, or how to manage dependencies. Just start coding. You write everything as a command. Your commands get called whenever they match a set of properties. Your calling code doesn't know or care, which command gets the work done. One JavaScript object goes in, and another comes out, asynchronously. Instead of modifying an existing microservice, simply add a new one with more functionality. This is a much more scalable way to handle changing requirements without building up technical debt. Use execution scripts to compose your app. -
41
Macaw
Macaw Software
Macaw is an enterprise grade platform optimized for building and transforming applications for digital age. Macaw provides an unique approach to modernize traditional applications to utilize containers and microservices technologies. It also offers a turn-key approach for enterprises to design, develop, build, publish, run and operate microservices based application in a holistic manner irrespective of the underlying infrastructure and clouds. Macaw is meant for enterprises looking to accelerate their modernization journey with hybrid-cloud strategy and cloud native applications. Thanks to its many built-in foundational services ,turnkey operational capabilities and kubernetes integration. Macaw provides the necessary run time environment, services and tools to build, deploy and manage Microservices based application. It provides various built-in and readily usable core application services like database, security, messaging, load-balancing for accelerated development and turn-key ops. -
42
AWS X-Ray
Amazon
AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services. -
43
DeployHub
DeployHub
DeployHub's mission is to empower organizations to achieve business agility through a managed approach to the microservice supply chain using a unified catalog of services and their usage. Unique to the DeployHub offering is its ability to version services along with their consuming applications providing the visibility of service impact before a deployment. DeployHub provides a clear view of your microservices supply chain and how it changes over time across hundreds of clusters. DeployHub integrates with your CI/CD pipeline. You can start using our free version at deployhub.com. DeployHub is based on the Ortelius.io open source project.Starting Price: $2500 -
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Temporal
Temporal
Temporal is the open source microservices orchestration platform for running mission critical code at any scale. It guarantees workflow completion of any size and complexity, has built-in support for exponential activity retries, and simplifies defining workflow compensation logic with native Saga pattern support. You can define retries, rollbacks, cleanup, and even human intervention steps in the case of failure. Workflows are defined in general-purpose programming languages that bring the ultimate flexibility for defining workflows of any complexity, especially when compared to markup-based DSLs. Temporal provides full visibility into end-to-end workflows that can span multiple services. It makes complex microservices orchestration manageable by providing a high level of insight into each workflow's state. Contrast this with ad-hoc orchestration based on queues where gaining visibility of your workflows is virtually impossible. -
45
Supadu
Supadu
Our cost effective website solutions thrive on insight, smart creative thinking and innovative technical execution. Whether you're showcasing 100 titles or you're an enterprise customer with a complex data set - we can help. 15 years providing publisher solutions. We understand the tools and services a publisher needs, from metadata driven websites to improved workflow. Our solutions are faster to market & dramatically lowers cost. You don’t need to create a custom platform to achieve a custom solution! Enabling customers to find what they’re looking for will help to increase conversions and increase ROI. Supadu can integrate with any 3rd Party system; including fulfillment, distribution, and eCommerce platforms, CMS’s, API’s and microservice providers. -
46
Sonassi
Sonassi
The fastest and most secure e-commerce platform in the world, serviced by accredited developers. Designed and built in-house, with no reliance on third parties, there is nothing quicker, nothing more scalable, and nothing more secure. We believe we can make every Ecommerce store faster. Our performance audits involve a deep-dive into your code to find each area that can be optimised and deliver meaningful, real-world results. If we can't find a way to make your store faster, you don't pay for the audit. eCommerce demands fluctuate wildly and your store has to react instantly. Sonassi is a specific platform for eCommerce using microservice architecture. Sonassi developed the very first autoscaling solution for eCommerce stores. Using microservice architecture, the Sonassi platform is built to instantly react to jumps in store visitor traffic and increased orders from flash promotions. Get your store RightSized. -
47
HapPhi
HapPhi
HapPhi is a brand-able NO CODE creative playground of artificial intelligence driven microservices to supercharge businesses and software products. Locate, consolidate, integrate, upgrade and monetize with powerful and easy to use tech. -
48
Automic Automation
Broadcom
Enterprises need to automate a complex and diverse landscape of applications, platforms and technologies to deliver services in a competitive digital business environment. Service Orchestration and Automation Platforms are essential scale your IT operations and derive greater value from automation: You have to manage complex workflows across platforms, ERP systems, business apps from mainframe to microservices and multi-cloud. You need to streamline your big data pipelines, enabling self-services for data scientists while providing massive scale and strong governance on data flows. You're required to deliver compute, network and storage resources on-prem and in the cloud for development and business users. Automic Automation gives you the agility, speed and reliability required for effective digital business automation. From a single unified platform, Automic centrally provides the orchestration and automation capabilities needed accelerate your digital transformation. -
49
DataStax
DataStax
The Open, Multi-Cloud Stack for Modern Data Apps. Built on open-source Apache Cassandra™. Global-scale and 100% uptime without vendor lock-in. Deploy on multi-cloud, on-prem, open-source, and Kubernetes. Elastic and pay-as-you-go for improved TCO. Start building faster with Stargate APIs for NoSQL, real-time, reactive, JSON, REST, and GraphQL. Skip the complexity of multiple OSS projects and APIs that don’t scale. Ideal for commerce, mobile, AI/ML, IoT, microservices, social, gaming, and richly interactive applications that must scale-up and scale-down with demand. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Use REST, GraphQL, JSON with your favorite full-stack framework Richly interactive apps that are elastic and viral-ready from Day 1. Pay-as-you-go Apache Cassandra DBaaS that scales effortlessly and affordably. -
50
Red Hat OpenShift Streams
Red Hat
Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems. Red Hat OpenShift Streams for Apache Kafka makes it easy to create, discover, and connect to real-time data streams no matter where they are deployed. Streams are a key component for delivering event-driven and data analytics applications. The combination of seamless operations across distributed microservices, large data transfer volumes, and managed operations allows teams to focus on team strengths, speed up time to value, and lower operational costs. OpenShift Streams for Apache Kafka includes a Kafka ecosystem and is part of a family of cloud services—and the Red Hat OpenShift product family—which helps you build a wide range of data-driven solutions.
