Alternatives to Conduktor
Compare Conduktor alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Conduktor in 2026. Compare features, ratings, user reviews, pricing, and more from Conduktor competitors and alternatives in order to make an informed decision for your business.
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Amazon MSK
Amazon
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.Starting Price: $0.0543 per hour -
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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. -
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kPow
Factor House
We know how easy Apache Kafka® can be with the right tools. We built kPow to make the developer experience with Kafka simple and enjoyable, and to save businesses time and money while growing their Kafka expertise. kPow allows you to get to the heart of production issues in clicks, not hours. Search tens of thousands of messages a second with kPow’s powerful Data Inspect and kREPL functions. New to Kafka? kPow’s unique Kafka UI allows developers to quickly and easily understand core Kafka concepts and gotchas. Upskill new team members, and grow your internal Kafka expertise. kPow provides a suite of Kafka management and monitoring features in a single Docker Container or JAR file. Manage multiple clusters, schema registries, and connect installs with one instance.Starting Price: $2,650 per cluster per year -
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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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Axual
Axual
Axual is Kafka-as-a-Service for DevOps teams. Empower your team to unlock insights and drive decisions with our intuitive Kafka platform. Axual offers the ultimate solution for enterprises looking to seamlessly integrate data streaming into their core IT infrastructure. Our all-in-one Kafka platform is designed to eliminate the need for extensive technical knowledge or skills, and provides a ready-made solution that delivers all the benefits of event streaming without the hassle. The Axual Platform is a all-in-one solution, designed to help you simplify and enhance the deployment, management, and utilization of real-time data streaming with Apache Kafka. By providing an array of features that cater to the diverse needs of modern enterprises, the Axual Platform enables organizations to harness the full potential of data streaming while minimizing complexity and operational overhead. -
6
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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Aiven for Apache Kafka
Aiven
Apache Kafka as a fully managed service, with zero vendor lock-in and a full set of capabilities to build your streaming pipeline. Set up fully managed Kafka in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Easily connect it to your existing tech stack with over 30 connectors, and feel confident in your setup with logs and metrics available out of the box via the service integrations. A fully managed distributed data streaming platform, deployable in the cloud of your choice. Ideal for event-driven applications, near-real-time data transfer and pipelines, stream analytics, and any other case where you need to move a lot of data between applications — and quickly. With Aiven’s hosted and managed-for-you Apache Kafka, you can set up clusters, deploy new nodes, migrate clouds, and upgrade existing versions — in a single mouse click — and monitor them through a simple dashboard.Starting Price: $200 per month -
8
Azure Event Hubs
Microsoft
Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.Starting Price: $0.03 per hour -
9
E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
10
Google Cloud's Managed Service for Apache Kafka is a fully managed and scalable service that simplifies the deployment, management, and maintenance of Apache Kafka clusters. It automates operational tasks such as provisioning, patching, and scaling, allowing users to focus on building applications without the complexities of infrastructure management. It ensures high availability and reliability by replicating data across multiple zones, safeguarding against potential failures. It also offers seamless integration with other Google Cloud services, enabling users to create robust data processing pipelines. Security is a priority, with features like encryption at rest and in transit, identity, and access management, and network isolation to protect data. Google Cloud Managed Service for Kafka supports both public and private networking configurations, providing flexibility in connectivity options.Starting Price: $0.09 per hour
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11
Condense
Zeliot
Condense, built by Zeliot, is a real-time data streaming platform that combines fully managed Apache Kafka with everything needed to build and run event-driven applications on top of it. Instead of stitching together Kafka, stream processors, connectors, and observability tools, teams get a single platform: managed Kafka clusters, pre-built and custom transforms, deployment pipelines, and monitoring, all running inside their own cloud account (AWS, Azure, or GCP) so data never leaves their environment. Condense includes Vapr, an autonomous AI supervisor that coordinates specialist agents for Kafka, Kubernetes, Grafana, and coding tasks, cutting the operational load of running streaming infrastructure. Condense is proven in high-throughput production environments, powering connected vehicle platforms, automotive OEM telematics, EV fleets, logistics operations, Travel & Hospitality, Healthcare, Fintech, etc that process billions of events per day.Starting Price: $40/month -
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SiteWhere
SiteWhere
SiteWhere infrastructure and microservices are deployed on Kubernetes, allowing for deployment on-premise or almost any cloud provider. Highly-available configurations of Apache Kafka, Zookeeper, and Hashicorp Consul provide infrastructure. Each microservice scales independently and integrates automatically. Complete multitenant IoT ecosystem including device management, event ingestion, big data event storage, REST APIs, data integration, and much more. Distributed architecture built with Java microservices running on Docker infrastructure with Apache Kafka processing pipeline. SiteWhere CE will always be open source and free for private as well as commercial use. The SiteWhere team offers free basic support and a steady stream of new features. -
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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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14
Baidu Messaging System
Baidu AI Cloud
Baidu Messaging System (BMS) is a distributed and scalable hosting message queue service with high throughputs. It collects massive data from websites, devices, or applications for real-time analysis, such as user browsing, clicks, and searches. BMS is a hosted service based on Apache Kafka. Kafka is a distributed, multi-partition, and multi-replica messaging service. The producer asynchronously interacts with the consumer through the message queue without waiting for each other. Compared with the traditional messaging service. BMS encapsulates the Kafka cluster details and provides them in the form of a hosted service. You can directly use BMS to integrate with massively distributed applications without the consideration of cluster operations and pay-per-use only. -
15
Airy Messenger
Airy
From Conversational AI assistants to customer service experiences, own your own conversational platform with open-source Airy. Airy Core is an open source, fully-featured, production-ready conversational platform. With Airy you can process conversational data from a variety of sources. Since Airy's infrastructure is built around Apache Kafka, it can process a large amount of conversations and messages simultaneously and stream the relevant conversational data to wherever you need it. Connect anything from our free open-source live chat plugin to Facebook Messenger & Google's Business Messages to your Airy Core. This is all possible through an ingestion platform that heavily relies on Apache Kafka to process incoming webhook data from different sources. We make sense of the data and reshape it into source-independent contacts, conversations, and messages. -
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Superstream
Superstream
Superstream Is An AI-based Engine That Reduces Your Kafka Expenses And Boosts Its Performance by 75% Without Changing a Single Component or Your Existing Kafka! -
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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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Samza
Apache Software Foundation
Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Battle-tested at scale, it supports flexible deployment options to run on YARN or as a standalone library. Samza provides extremely low latencies and high throughput to analyze your data instantly. Scales to several terabytes of state with features like incremental checkpoints and host-affinity. Samza is easy to operate with flexible deployment options - YARN, Kubernetes or standalone. Ability to run the same code to process both batch and streaming data. Integrates with several sources including Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores and ElasticSearch. -
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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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StreamNative
StreamNative
StreamNative redefines streaming infrastructure by seamlessly integrating Kafka, MQ, and other protocols into a single, unified platform, providing unparalleled flexibility and efficiency for modern data processing needs. StreamNative offers a unified solution that adapts to the diverse requirements of streaming and messaging in a microservices-driven environment. By providing a comprehensive and intelligent approach to messaging and streaming, StreamNative empowers organizations to navigate the complexities and scalability of the modern data ecosystem with efficiency and agility. Apache Pulsar’s unique architecture decouples the message serving layer from the message storage layer to deliver a mature cloud-native data-streaming platform. Scalable and elastic to adapt to rapidly changing event traffic and business needs. Scale-up to millions of topics with architecture that decouples computing and storage.Starting Price: $1,000 per month -
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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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Stackable
Stackable
The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, OpenSearch, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.Starting Price: Free -
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Red Hat AMQ
Red Hat
Red Hat AMQ is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT). Based on open source communities like Apache ActiveMQ and Apache Kafka, it supports various messaging patterns to integrate applications, endpoints, and devices quickly and efficiently, enhancing enterprise responsiveness and agility. AMQ facilitates data sharing between microservices and other applications with high throughput and low latency. AMQ supports connectivity from client programs written in multiple languages. It defines an open-wire protocol for messaging interoperability, allowing enterprises to deploy various distributed messaging solutions to meet evolving business requirements. Backed by Red Hat's award-winning support and services, AMQ has a track record of supporting mission-critical applications. -
24
Keen
Keen.io
Keen is the fully managed event streaming platform. Built upon trusted Apache Kafka, we make it easier than ever for you to collect massive volumes of event data with our real-time data pipeline. Use Keen’s powerful REST API and SDKs to collect event data from anything connected to the internet. Our platform allows you to store your data securely decreasing your operational and delivery risk with Keen. With storage infrastructure powered by Apache Cassandra, data is totally secure through transfer through HTTPS and TLS, then stored with multi-layer AES encryption. Once data is securely stored, utilize our Access Keys to be able to present data in arbitrary ways without having to re-architect your security or data model. Or, take advantage of Role-based Access Control (RBAC), allowing for completely customizable permission tiers, down to specific data points or queries.Starting Price: $149 per month -
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Waterstream
SimpleMatter
Waterstream turns your Kafka-compatible platform into a full-fledged MQTT broker. Connect millions of clients to your data streaming platform with no code, no integration pipelines, and no additional storage. Waterstream implements a bidirectional layer between Kafka and MQTT clients. Forget managing external MQTT clusters, integration pipelines to code, and data duplication. Waterstream scales out linearly. For most operations, its nodes don’t depend on each other. Add more instances to support an increasing number of clients. Waterstream requires only Kafka to operate. The built-in persistence benefits of using Kafka are all included: high availability, high throughput, and low latency. -
26
Equalum
Equalum
Equalum’s continuous data integration & streaming platform is the only solution that natively supports real-time, batch, and ETL use cases under one, unified platform with zero coding required. Make the move to real-time with a fully orchestrated, drag-and-drop, no-code UI. Experience rapid deployment, powerful transformations, and scalable streaming data pipelines in minutes. Multi-modal, robust, and scalable CDC enabling real-time streaming and data replication. Tuned for best-in-class performance no matter the source. The power of open-source big data frameworks, without the hassle. Equalum harnesses the scalability of open-source data frameworks such as Apache Spark and Kafka in the Platform engine to dramatically improve the performance of streaming and batch data processes. Organizations can increase data volumes while improving performance and minimizing system impact using this best-in-class infrastructure. -
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Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures. -
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Focus on developing data stream processing applications and don’t waste time maintaining the infrastructure. Managed Service for Apache Kafka is responsible for managing Zookeeper brokers and clusters, configuring clusters, and updating their versions. Distribute your cluster brokers across different availability zones and set the replication factor to ensure the desired level of fault tolerance. The service analyzes the metrics and status of the cluster and automatically replaces it if one of the nodes fails. For each topic, you can set the replication factor, log cleanup policy, compression type, and maximum number of messages to make better use of computing, network, and disk resources. You can add brokers to your cluster with just a click of a button to improve its performance, or change the class of high-availability hosts without stopping them or losing any data.
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Azure HDInsight
Microsoft
Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date. -
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TIBCO Streaming
TIBCO
TIBCO Streaming is a real-time analytics platform designed to process and analyze high-velocity data streams, enabling organizations to make immediate, data-driven decisions. It offers a low-code development environment through StreamBase Studio, allowing users to build complex event processing applications with minimal coding. It supports over 150 connectors, including APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, facilitating seamless integration with various data sources. TIBCO Streaming incorporates dynamic learning operators, enabling adaptive machine learning models that provide contextual insights and automate decision-making processes. It also features real-time business intelligence capabilities, allowing users to visualize live data alongside historical information for comprehensive analysis. It is cloud-ready, supporting deployments on AWS, Azure, GCP, and on-premises environments. -
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IBM Event Automation is a fully composable event-driven solution designed to enable users to detect situations, act in real time, automate decisions, and maximize revenue potential. It allows businesses to respond in real time using Apache Flink, leveraging AI to anticipate critical business patterns. It facilitates the development of scalable applications to meet evolving business needs and handle increasing workloads seamlessly. It enables self-service access with approval controls, field redaction, and schema filtering, enforced by a Kafka-native event gateway via policy administration. IBM Event Automation unifies and accelerates event management by using policy administration for self-service access, enabling control definitions for approval processes, field-level redaction, and schema-based filtering. Use cases include transaction data analysis, inventory optimization, detecting suspicious activity, enhancing customer understanding, predictive maintenance, etc.
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32
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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Eclipse Streamsheets
Cedalo
Build professional applications to automate workflows, continuously monitor operations, and control processes in real-time. Your solutions run 24/7 on servers in the cloud and on the edge. Thanks to the spreadsheet user interface, you do not have to be a software developer. Instead of writing program code, you drag-and-drop data, fill cells with formulas, and design charts in a way you already know. Find all necessary protocols on board that you need to connect to sensors, and machines like MQTT, REST, and OPC UA. Streamsheets is native to stream data processing like MQTT and kafka. Pick up a topic stream, transform it and blast it back out into the endless streaming world. REST opens you the world, Streamsheets let you connect to any web service or let them connect to you. Streamsheets run in the cloud, on your servers, but also on edge devices like a Raspberry Pi. -
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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 -
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Lenses
Lenses.io
Enable everyone to discover and observe streaming data. Sharing, documenting and cataloging your data can increase productivity by up to 95%. Then from data, build apps for production use cases. Apply a data-centric security model to cover all the gaps of open source technology, and address data privacy. Provide secure and low-code data pipeline capabilities. Eliminate all darkness and offer unparalleled observability in data and apps. Unify your data mesh and data technologies and be confident with open source in production. Lenses is the highest rated product for real-time stream analytics according to independent third party reviews. With feedback from our community and thousands of engineering hours invested, we've built features that ensure you can focus on what drives value from your real time data. Deploy and run SQL-based real time applications over any Kafka Connect or Kubernetes infrastructure including AWS EKS.Starting Price: $49 per month -
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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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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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DoubleCloud
DoubleCloud
Save time & costs by streamlining data pipelines with zero-maintenance open source solutions. From ingestion to visualization, all are integrated, fully managed, and highly reliable, so your engineers will love working with data. You choose whether to use any of DoubleCloud’s managed open source services or leverage the full power of the platform, including data storage, orchestration, ELT, and real-time visualization. We provide leading open source services like ClickHouse, Kafka, and Airflow, with deployment on Amazon Web Services or Google Cloud. Our no-code ELT tool allows real-time data syncing between systems, fast, serverless, and seamlessly integrated with your existing infrastructure. With our managed open-source data visualization you can simply visualize your data in real time by building charts and dashboards. We’ve designed our platform to make the day-to-day life of engineers more convenient.Starting Price: $0.024 per 1 GB per month -
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Amazon MWAA
Amazon
Amazon Managed Workflows for Apache Airflow (MWAA) is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. Apache Airflow is an open-source tool used to programmatically author, schedule, and monitor sequences of processes and tasks referred to as “workflows.” With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workflows automatically scales its workflow execution capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data.Starting Price: $0.49 per hour -
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Pravega
Pravega
Distributed messaging systems such as Kafka and Pulsar have provided modern Pub/Sub infrastructure well suited for today’s data-intensive applications. Pravega further enhances this popular programming model and provides a cloud-native streaming infrastructure, enabling a wider swath of applications. Pravega streams are durable, consistent, and elastic, while natively supporting long-term data retention. Pravega solves architecture-level problems that former topic-based systems Kafka and Pulsar have failed to solve, such as auto-scaling of partitions or maintaining high performance for a large number of partitions. It enhances the range of supported applications by efficiently handling both small events as in IoT and larger data as in videos for computer vision/video analytics. By providing abstractions beyond streams, Pravega also enables replicating application state and storing key-value pairs. -
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Managed Service for Apache Airflow is a fully managed workflow orchestration platform from Google Cloud built on the open-source Apache Airflow project. It allows users to author, schedule, and monitor data pipelines using Python-based workflows known as DAGs. The platform eliminates the need to manage infrastructure, enabling teams to focus on building and running pipelines. It integrates seamlessly with Google Cloud services such as BigQuery, Dataflow, and Managed Service for Apache Spark. It also supports hybrid and multi-cloud environments, allowing workflows to span across different systems. Users benefit from built-in monitoring, logging, and troubleshooting tools for reliability. The service is designed to simplify complex data workflows, including ETL, MLOps, and automation tasks. Overall, it provides a scalable and flexible solution for orchestrating modern data pipelines.Starting Price: $0.074 per vCPU hour
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42
Quix
Quix
Building real-time apps and services require lots of components running in concert: Kafka, VPC hosting, infrastructure as code, container orchestration, observability, CI/CD, persistent volumes, databases, and much more. The Quix platform takes care of all the moving parts. You just connect your data and start building. That’s it. No provisioning clusters or configuring resources. Use Quix connectors to ingest transaction messages streamed from your financial processing systems in a virtual private cloud or on-premise data center. All data in transit is encrypted end-to-end and compressed with G-Zip and Protobuf for security and efficiency. Detect fraudulent patterns with machine learning models or rule-based algorithms. Create fraud warning messages as troubleshooting tickets or display them in support dashboards.Starting Price: $50 per month -
43
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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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. -
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Upstash
Upstash
Blend the performance of in-memory with the durability of disk storage enabling many use cases beyond caching. You can leverage multi-region replication with global databases. True Serverless Kafka where price scales to zero. With per-request pricing, you only pay what you use. Built-in REST API allows you to produce and consume your Kafka topics from anywhere. Start free, then pay only for what you use with per-request pricing. Forget your expensive server/instance. Use Upstash as much as you need, you'll never pay more than the cap price, guaranteed. Upstash REST API enables access from Cloudflare Workers and Fastly Compute@Edge. With the global database, you can access your database from anywhere with very low latency. Low latency data, ease of use, and pay-per-request pricing makes Upstash a perfect choice for the Jamstack and Serverless world. With servers/instances, you pay per hour or a fixed price. With Serverless, you pay per request.Starting Price: $0.2 per 100K commands -
46
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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Astro by Astronomer
Astronomer
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a modern data orchestration platform, powered by Apache Airflow, that enables the entire data team to build, run, and observe data pipelines-as-code. Astronomer is the commercial developer of Airflow, the de facto standard for expressing data flows as code, used by hundreds of thousands of teams across the world. -
48
Amazon EMR
Amazon
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting. -
49
Xeotek
Xeotek
Xeotek helps companies develop and explore their data applications and streams faster with Xeotek's powerful desktop and web application. Xeotek KaDeck was designed to be used by developers, operations, and business users alike. Because business users, developers, and operations jointly gain insight into data and processes via KaDeck, the whole team benefits: fewer misunderstandings, less rework, more transparency. Xeotek KaDeck puts you in control of your data streams. Save hours of work by gaining insights at the data and application level in projects or day-to-day operations. Export, filter, transform and manage data streams in KaDeck with ease. Run JavaScript (NodeV4) code, transform & generate test data, view & change consumer offsets, manage your streams or topics, Kafka Connect instances, schema registry, and ACLs – all from one convenient user interface. -
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SQLife
Bitifyware
SQLife is a modern, cross-platform database management tool supporting Oracle, PostgreSQL, MySQL, SQL Server, Redis, MongoDB, Kafka, RabbitMQ and more. Built with JavaFX, it provides an intuitive interface for DBAs and developers. ## Features * Comprehensive Connection Properties with keep-alive * Object Management (tables, views, procedures, triggers, etc.) * Partition/Sub-Partition Table Management * SQL Editor with auto-completion and syntax highlighting * Data Export/Import (SQL, CSV, Excel, JSON, XML, Markdown, PNG) * SQL History with Git integration * Oracle Scheduler Jobs Management * Dark Mode, MCP support, LLM Agent * Schema Comparison, Locks Monitor * SSH Tunnel and Proxy support * i18n: 13 languagesStarting Price: $14.99
