Alternatives to Nextflow
Compare Nextflow alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Nextflow in 2026. Compare features, ratings, user reviews, pricing, and more from Nextflow competitors and alternatives in order to make an informed decision for your business.
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1
Google Cloud Run
Google
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler. -
2
Portainer Business
Portainer
Portainer is an intuitive container management platform for Docker, Kubernetes, and Edge-based environments. With a smart UI, Portainer enables you to build, deploy, manage, and secure your containerized environments with ease. It makes container adoption easier for the whole team and reduces time-to-value on Kubernetes and Docker/Swarm. With a simple GUI and a comprehensive API, the product makes it easy for engineers to deploy and manage container-based apps, triage issues, automate CI/CD workflows and set up CaaS (container-as-a-service) environments regardless of hosting environment or K8s distro. Portainer Business is designed to be used in a team environment with multiple users and clusters. The product includes a range of security features, including RBAC, OAuth integration, and logging - making it suitable for use in complex production environments. Portainer also allows you to set up GitOps automation for deployment of your apps to Docker and K8s based on Git repos.Starting Price: Free -
3
Tenzir
Tenzir
Tenzir is a data pipeline engine specifically designed for security teams, facilitating the collection, transformation, enrichment, and routing of security data throughout its lifecycle. It enables users to seamlessly gather data from various sources, parse unstructured data into structured formats, and transform it as needed. It optimizes data volume, reduces costs, and supports mapping to standardized schemas like OCSF, ASIM, and ECS. Tenzir ensures compliance through data anonymization features and enriches data by adding context from threats, assets, and vulnerabilities. It supports real-time detection and stores data efficiently in Parquet format within object storage systems. Users can rapidly search and materialize necessary data and reactivate at-rest data back into motion. Tension is built for flexibility, allowing deployment as code and integration into existing workflows, ultimately aiming to reduce SIEM costs and provide full control. -
4
Seqera
Seqera
Seqera is a bioinformatics platform developed by the creators of Nextflow, designed to streamline and enhance the management of scientific data analysis workflows. It offers a comprehensive suite of tools, including the Seqera Platform for orchestrating scalable data pipelines, Seqera Pipelines for accessing a curated collection of open source workflows, Seqera Containers for simplifying container management, and Seqera Studios for interactive data analysis environments. It supports seamless integration with various cloud and on-premises infrastructures, ensuring reproducibility and compliance in scientific research. Integrate Seqera into existing on-premises systems and cloud platforms like AWS, GCP, and Azure, with no forced migrations. Maintain full control over data residency and scale globally, without compromising security or performance. -
5
GenomiX
VE3 Global
GenomiX is a unified analytics platform built to manage the complexity of modern genomics research and clinical workflows. It supports large-scale sequencing data, integrates fragmented systems like LIMS and EHRs, and enables multi-omics analysis across DNA, RNA, and epigenetics. With its cloud-agnostic, container-native architecture, GenomiX ensures flexibility, compliance, and scalability for both research and healthcare environments. The platform streamlines workflows with support for popular engines like Nextflow, WDL, and Snakemake, while offering preconfigured bioinformatics pipelines. Advanced AI and ML integrations accelerate clinical interpretation and research insights. GenomiX also prioritizes security, ensuring GDPR, HIPAA, and NHS compliance while facilitating collaboration across institutions. -
6
Illumina Connected Analytics
Illumina
Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems. -
7
Apache Airflow
The Apache Software Foundation
Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows. -
8
harpoon
harpoon
harpoon is a drag-and-drop Kubernetes tool for deploying any software in seconds. Whether you're new to Kubernetes or are looking for the best way to learn, harpoon has all the features you need to be successful in deploying and configuring your software using the industry-leading container orchestrator, all with no code. Our visual Kubernetes interface enables anyone to deploy production-grade software with no code. Easily accomplish simple or complex enterprise-grade cloud deployments to deploy and configure software and autoscale Kubernetes without writing any code or configuration scripts. Instantly search for and find any piece of commercial or open source software on the planet and deploy it to the cloud with one click. Before running any applications or services, harpoon will run automated scripts that will secure your cloud provider account. Connect harpoon to your source code repository anywhere and set up an automated deployment pipeline.Starting Price: $50 per month -
9
JFrog Pipelines
JFrog
JFrog Pipelines empowers software teams to ship updates faster by automating DevOps processes in a continuously streamlined and secure way across all their teams and tools. Encompassing continuous integration (CI), continuous delivery (CD), infrastructure and more, it automates everything from code to production. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions. Scales horizontally, allowing you to have a centrally managed solution that supports thousands of users and pipelines in a high-availability (HA) environment. Pre-packaged declarative steps with no scripting required, making it easy to create complex pipelines, including cross-team “pipelines of pipelines.” Integrates with most DevOps tools. The steps in a single pipeline can run on multi-OS, multi-architecture nodes, reducing the need to have multiple CI/CD tools.Starting Price: $98/month -
10
Dataform
Google
Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.Starting Price: Free -
11
GlassFlow
GlassFlow
GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. GlassFlow provides a low-code interface for quick pipeline setup, allowing users to create and deploy pipelines within minutes. It also offers features such as serverless function execution, real-time API connections, and alerting and reprocessing capabilities. The platform is designed to simplify the creation and management of event-driven data pipelines, making it accessible for Python developers.Starting Price: $350 per month -
12
AWS Data Pipeline
Amazon
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.Starting Price: $1 per month -
13
Dagster
Dagster Labs
Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale. Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.Starting Price: $0 -
14
Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
15
Drone
Harness
Configuration as a code. Pipelines are configured with a simple, easy‑to‑read file that you commit to your git repository. Each pipeline step is executed inside an isolated Docker container that is automatically downloaded at runtime. Any source code manager. Drone integrates seamlessly with multiple source code management systems, including GitHub, GitHubEnterprise, Bitbucket, and GitLab. Any platform. Drone.io natively supports multiple operating systems and architectures, including Linux x64, ARM, ARM64 and Windows x64. Any language. Drone works with any language, database or service that runs inside a Docker container. Choose from thousands of public Docker images or provide your own. Create and share plugins. Drone uses containers to drop pre‑configured steps into your pipeline. Choose from hundreds of existing plugins, or create your own. Drone makes advanced customization easy. Implement custom access controls, approval workflows, secret management, yaml syntax extensions& more. -
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Lightbend
Lightbend
Lightbend provides technology that enables developers to easily build data-centric applications that bring the most demanding, globally distributed applications and streaming data pipelines to life. Companies worldwide turn to Lightbend to solve the challenges of real-time, distributed data in support of their most business-critical initiatives. Akka Platform provides the building blocks that make it easy for businesses to build, deploy, and run large-scale applications that support digitally transformative initiatives. Accelerate time-to-value and reduce infrastructure and cloud costs with reactive microservices that take full advantage of the distributed nature of the cloud and are resilient to failure, highly efficient, and operative at any scale. Native support for encryption, data shredding, TLS enforcement, and continued compliance with GDPR. Framework for quick construction, deployment and management of streaming data pipelines. -
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definity
definity
Monitor and control everything your data pipelines do with zero code changes. Monitor data and pipelines in motion to proactively prevent downtime and quickly root cause issues. Optimize pipeline runs and job performance to save costs and keep SLAs. Accelerate code deployments and platform upgrades while maintaining reliability and performance. Data & performance checks in line with pipeline runs. Checks on input data, before pipelines even run. Automatic preemption of runs. definity takes away the effort to build deep end-to-end coverage, so you are protected at every step, across every dimension. definity shifts observability to post-production to achieve ubiquity, increase coverage, and reduce manual effort. definity agents automatically run with every pipeline, with zero footprints. Unified view of data, pipelines, infra, lineage, and code for every data asset. Detect in run-time and avoid async checks. Auto-preempt runs, even on inputs. -
18
Data Taps
Data Taps
Build your data pipelines like Lego blocks with Data Taps. Add new metrics layers, zoom in, and investigate with real-time streaming SQL. Build with others, share and consume data, globally. Refine and update without hassle. Use multiple models/schemas during schema evolution. Built to scale with AWS Lambda and S3. -
19
Kestra
Kestra
Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways. -
20
Centurion
New Relic
A deployment tool for Docker. Takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings. Supports rolling deployments out of the box, and makes it easy to ship applications to Docker servers. We're using it in our production infrastructure. Centurion works in a two part deployment process where the build process ships a container to the registry, and Centurion ships containers from the registry to the Docker fleet. Registry support is handled by the Docker command line tools directly so you can use anything they currently support via the normal registry mechanism. If you haven't been using a registry, you should read up on how to do that before trying to deploy anything with Centurion. This code is developed in the open with input from the community through issues and PRs. There is an active maintainer team within New Relic. -
21
Yandex Data Proc
Yandex
You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.Starting Price: $0.19 per hour -
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Nebula Container Orchestrator
Nebula Container Orchestrator
Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula is a open source project created for Docker orchestration and designed to manage massive clusters at scale, it achieves this by scaling each project component out as far as required. The project’s aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing. Nebula is capable of simultaneously updating tens of thousands of IoT devices worldwide with a single API call in an effort to help devs and ops treat IoT devices just like distributed Dockerized apps. -
23
Pantomath
Pantomath
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage. -
24
IBM StreamSets
IBM
IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.Starting Price: $1000 per month -
25
RudderStack
RudderStack
RudderStack is the smart customer data pipeline. Easily build pipelines connecting your whole customer data stack, then make them smarter by pulling analysis from your data warehouse to trigger enrichment and activation in customer tools for identity stitching and other advanced use cases. Start building smarter customer data pipelines today.Starting Price: $750/month -
26
Google Cloud Composer
Google
Cloud Composer's managed nature and Apache Airflow compatibility allows you to focus on authoring, scheduling, and monitoring your workflows as opposed to provisioning resources. End-to-end integration with Google Cloud products including BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform gives users the freedom to fully orchestrate their pipeline. Author, schedule, and monitor your workflows through a single orchestration tool—whether your pipeline lives on-premises, in multiple clouds, or fully within Google Cloud. Ease your transition to the cloud or maintain a hybrid data environment by orchestrating workflows that cross between on-premises and the public cloud. Create workflows that connect data, processing, and services across clouds to give you a unified data environment.Starting Price: $0.074 per vCPU hour -
27
StreamScape
StreamScape
Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility. -
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Codiac
Codiac
Codiac is your all‑in‑one solution to managing infrastructure at scale, offering a unified control plane that handles container orchestration, multi‑cluster operations, and dynamic configuration with turnkey simplicity, no YAML or GitOps required. With a closed‑loop system powered by Kubernetes, it automates workload scaling, ephemeral cluster creation, blue/green and canary rollouts, and “zombie mode” scheduling to reduce cost by shutting down idle environments. You get instant ingress, domain, and URL management paired with seamless integration of TLS certificates via Let’s Encrypt. Every deployment generates immutable system snapshots and versioning, enabling instant rollbacks and audit‑ready compliance. RBAC, granular permissions, and detailed audit logs enforce enterprise‑grade security, while support for CI/CD pipelines, real‑time logs, and observability dashboards provides full visibility across all assets and environments.Starting Price: $189 per month -
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Actifio
Google
Automate self-service provisioning and refresh of enterprise workloads, integrate with existing toolchain. High-performance data delivery and re-use for data scientists through a rich set of APIs and automation. Recover any data across any cloud from any point in time – at the same time – at scale, beyond legacy solutions. Minimize the business impact of ransomware / cyber attacks by recovering quickly with immutable backups. Unified platform to better protect, secure, retain, govern, or recover your data on-premises or in the cloud. Actifio’s patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP) delivers full-stack data management — on-premises, hybrid or multi-cloud – from rich application integration, SLA-based orchestration, flexible data movement, and data immutability and security. -
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HPE Ezmeral
Hewlett Packard Enterprise
Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases. -
31
Arcion
Arcion Labs
Deploy production-ready change data capture pipelines for high-volume, real-time data replication - without a single line of code. Supercharged Change Data Capture. Enjoy automatic schema conversion, end-to-end replication, flexible deployment, and more with Arcion’s distributed Change Data Capture (CDC). Leverage Arcion’s zero data loss architecture for guaranteed end-to-end data consistency, built-in checkpointing, and more without any custom code. Leave scalability and performance concerns behind with a highly-distributed, highly parallel architecture supporting 10x faster data replication. Reduce DevOps overhead with Arcion Cloud, the only fully-managed CDC offering. Enjoy autoscaling, built-in high availability, monitoring console, and more. Simplify & standardize data pipelines architecture, and zero downtime workload migration from on-prem to cloud.Starting Price: $2,894.76 per month -
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Strong Network
Strong Network
Strong Network allows the management of containers for DevOps online (as opposed to locally on developers laptop) and access them through a cloud IDE or a SSH connection (in the case of a local IDE). These containers provide a complete management of access keys and credentials to multiple types of resources, in addition to providing data loss prevention (DLP). In addition we combine the IDE with a secure chrome browser (remote browser isolation) such that any third party applications for DevOps can be accessed with DLP. This platform is a complete replacement for VDI/DaaS for code development. Our platform allows the provisioning and management of containers for development online (as opposed to locally on developers' laptops, using a solution like docker desktop for example) and enables accessing them through a cloud IDE or a SSH connection (in the case of a local IDE).Starting Price: $39 -
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Talend Pipeline Designer is a web-based self-service application that takes raw data and makes it analytics-ready. Compose reusable pipelines to extract, improve, and transform data from almost any source, then pass it to your choice of data warehouse destinations, where it can serve as the basis for the dashboards that power your business insights. Build and deploy data pipelines in less time. Design and preview, in batch or streaming, directly in your web browser with an easy, visual UI. Scale with native support for the latest hybrid and multi-cloud technologies, and improve productivity with real-time development and debugging. Live preview lets you instantly and visually diagnose issues with your data. Make better decisions faster with dataset documentation, quality proofing, and promotion. Transform data and improve data quality with built-in functions applied across batch or streaming pipelines, turning data health into an effortless, automated discipline.
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34
Datavolo
Datavolo
Capture all your unstructured data for all your LLM needs. Datavolo replaces single-use, point-to-point code with fast, flexible, reusable pipelines, freeing you to focus on what matters most, doing incredible work. Datavolo is the dataflow infrastructure that gives you a competitive edge. Get fast, unencumbered access to all of your data, including the unstructured files that LLMs rely on, and power up your generative AI. Get pipelines that grow with you, in minutes, not days, without custom coding. Instantly configure from any source to any destination at any time. Trust your data because lineage is built into every pipeline. Make single-use pipelines and expensive configurations a thing of the past. Harness your unstructured data and unleash AI innovation with Datavolo, powered by Apache NiFi and built specifically for unstructured data. Our founders have spent a lifetime helping organizations make the most of their data.Starting Price: $36,000 per year -
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DMSFACTORY DocumentsPipeliner
DMSFACTORY GmbH
DocumentsPipeliner is a server-based middleware solution for automated processing of incoming documents. It monitors mailboxes (e.g., Microsoft Exchange), file folders, or other input channels, extracts email attachments, normalizes formats (e.g., PDF/A), and enriches documents with metadata from third-party systems as needed. It then forwards the data to target systems such as M-Files, ABBYY FlexiCapture, or other DMS and workflow solutions based on rules. With DocumentsPipeliner, companies can create a central “digital mailroom” that reduces routine work in document receipt, ensures compliance, and lays the foundation for consistent, scalable business processes.Starting Price: 2580€/server -
36
Stripe Data Pipeline
Stripe
Stripe Data Pipeline sends all your up-to-date Stripe data and reports to Snowflake or Amazon Redshift in a few clicks. Centralize your Stripe data with other business data to close your books faster and unlock richer business insights. Set up Stripe Data Pipeline in minutes and automatically receive your Stripe data and reports in your data warehouse on an ongoing basis–no code required. Create a single source of truth to speed up your financial close and access better insights. Identify your best-performing payment methods, analyze fraud by location, and more. Send your Stripe data directly to your data warehouse without involving a third-party extract, transform, and load (ETL) pipeline. Offload ongoing maintenance with a pipeline that’s built into Stripe. No matter how much data you have, your data is always complete and accurate. Automate data delivery at scale, minimize security risks, and avoid data outages and delays.Starting Price: 3¢ per transaction -
37
Adele
Adastra
Adele is an intuitive platform designed to simplify the migration of data pipelines from any legacy system to a target platform. It empowers users with full control over the functional migration process, while its intelligent mapping capabilities offer valuable insights. By reverse-engineering data pipelines, Adele creates data lineage mappings and extracts metadata, enhancing visibility and understanding of data flows. -
38
Openbridge
Openbridge
Uncover insights to supercharge sales growth using code-free, fully-automated data pipelines to data lakes or cloud warehouses. A flexible, standards-based platform to unify sales and marketing data for automating insights and smarter growth. Say goodbye to messy, expensive manual data downloads. Always know what you’ll pay and only pay for what you use. Fuel your tools with quick access to analytics-ready data. As certified developers, we only work with secure, official APIs. Get started quickly with data pipelines from popular sources. Pre-built, pre-transformed, and ready-to-go data pipelines. Unlock data from Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and many others. Code-free data ingestion and transformation processes allow teams to realize value from their data quickly and cost-effectively. Data is always securely stored directly in a trusted, customer-owned data destination like Databricks, Amazon Redshift, etc.Starting Price: $149 per month -
39
Metrolink
Metrolink.ai
A high -performance unified platform which is layered on any existing infrastructure for seamless onboarding. Metrolink’s intuitive design empowers any organization to govern its data integration by arming it with advanced manipulations aimed to maximize diverse and complex data, refocus human resources, and eliminate overhead. Diverse, complex, multi-source, streaming data with rapidly changing use cases. Spending much more of the talent on data utilities, losing the focus on the core business. Metrolink is a Unified platform that allows organization design and manage their data pipelines according to their business requirements. This by enabling intuitive UI, advanced manipulations on diverse & complex data with high performance, in a way that amplifies data value while leveraging all data functions and data privacy in the organization. -
40
MAIOT
MAIOT
We commoditize production-ready Machine Learning. ZenML, the star MAIOT product, is an extensible, open-source MLOps framework to create reproducible Machine Learning pipelines. ZenML pipelines are built to take experiments from data versioning to a deployed model. The core design is centered around extensible interfaces to accommodate complex pipeline scenarios, while providing a batteries-included, straightforward “happy path” to achieve success in common use-cases without unnecessary boiler-plate code. We want to enable Data Scientists to focus on use-cases, goals and, ultimately, workflows for Machine Learning, not the underlying technologies. As the Machine Learning landscape is evolving fast, in both Software and Hardware, it is our objective to decouple reproducible workflows to productionize Machine Learning from the required tooling, to make the adoption of new technologies as easy as possible. -
41
Dataplane
Dataplane
The concept behind Dataplane is to make it quicker and easier to construct a data mesh with robust data pipelines and automated workflows for businesses and teams of all sizes. In addition to being more user friendly, there has been an emphasis on scaling, resilience, performance and security.Starting Price: Free -
42
Apache Brooklyn
Apache Software Foundation
Your applications, any clouds, any containers, anywhere. Apache Brooklyn is software for managing cloud applications. Use it for: Blueprints describe your application, stored as text files in version control, components configured & integrated across multiple machines automatically, 20+ public clouds, or your private cloud or bare servers - and Docker containers, monitor key application metrics; scale to meet demand; restart and replace failed components. View and modify using the web console or automate using the REST API. -
43
Axoflow
Axoflow
Axoflow, the Security Data Layer is the foundation for your SIEM and analytics tools enabling the use of AI, up to 70% faster investigations, and more than 50% reduction in SIEM spend by feeding them with actionable data. Axoflow Platform is built up of the following parts: A pipeline acting as the transportation layer for your security data and also acting as an automated ‘translator’ between data schemas. AI - If you prefer to run your detection content locally - whether it’s an AI or ML model, a threat intel lookup, or another type of enrichment - we’ve got you covered. Storage solutions to facilitate the cost-effective storage of security data and also acting as local storage to run your decentralized detection. Orchestration to weave all of the parts together in an easy-to-use GUI that lets youmonitor and manage, and control and search your data. -
44
Upsolver
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries. -
45
DataKitchen
DataKitchen
Reclaim control of your data pipelines and deliver value instantly, without errors. The DataKitchen™ DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment. You’ve already got the tools you need. Our platform automatically orchestrates your end-to-end multi-tool, multi-environment pipelines – from data access to value delivery. Catch embarrassing and costly errors before they reach the end-user by adding any number of automated tests at every node in your development and production pipelines. Spin-up repeatable work environments in minutes to enable teams to make changes and experiment – without breaking production. Fearlessly deploy new features into production with the push of a button. Free your teams from tedious, manual work that impedes innovation. -
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Northflank
Northflank
The self-service developer platform for your apps, databases, and jobs. Start with one workload, and scale to hundreds on compute or GPUs. Accelerate every step from push to production with highly configurable self-service workflows, pipelines, templates, and GitOps. Securely deploy preview, staging, and production environments with observability tooling, backups, restores, and rollbacks included. Northflank seamlessly integrates with your preferred tooling and can accommodate any tech stack. Whether you deploy on Northflank’s secure infrastructure or on your own cloud account, you get the same exceptional developer experience, and total control over your data residency, deployment regions, security, and cloud expenses. Northflank leverages Kubernetes as an operating system to give you the best of cloud-native, without the overhead. Deploy to Northflank’s cloud for maximum simplicity, or connect your GKE, EKS, AKS, or bare-metal to deliver a managed platform experience in minutes.Starting Price: $6 per month -
47
HashiCorp Nomad
HashiCorp
A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single 35MB binary that integrates into existing infrastructure. Easy to operate on-prem or in the cloud with minimal overhead. Orchestrate applications of any type - not just containers. First class support for Docker, Windows, Java, VMs, and more. Bring orchestration benefits to existing services. Achieve zero downtime deployments, improved resilience, higher resource utilization, and more without containerization. Single command for multi-region, multi-cloud federation. Deploy applications globally to any region using Nomad as a single unified control plane. One single unified workflow for deploying to bare metal or cloud environments. Enable multi-cloud applications with ease. Nomad integrates seamlessly with Terraform, Consul and Vault for provisioning, service networking, and secrets management. -
48
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. -
49
Etleap
Etleap
Etleap was built from the ground up on AWS to support Redshift and snowflake data warehouses and S3/Glue data lakes. Their solution simplifies and automates ETL by offering fully-managed ETL-as-a-service. Etleap's data wrangler and modeling tools let users control how data is transformed for analysis, without writing any code. Etleap monitors and maintains data pipelines for availability and completeness, eliminating the need for constant maintenance, and centralizes data from 50+ disparate sources and silos into your data warehouse or data lake. -
50
Azure Container Instances
Microsoft
Develop apps fast without managing virtual machines or having to learn new tools—it's just your application, in a container, running in the cloud. By running your workloads in Azure Container Instances (ACI), you can focus on designing and building your applications instead of managing the infrastructure that runs them. Deploy containers to the cloud with unprecedented simplicity and speed—with a single command. Use ACI to provision additional compute for demanding workloads whenever you need. For example, with the Virtual Kubelet, use ACI to elastically burst from your Azure Kubernetes Service (AKS) cluster when traffic comes in spikes. Gain the security of virtual machines for your container workloads, while preserving the efficiency of lightweight containers. ACI provides hypervisor isolation for each container group to ensure containers run in isolation without sharing a kernel.
