Alternatives to Apache Storm
Compare Apache Storm alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Apache Storm in 2026. Compare features, ratings, user reviews, pricing, and more from Apache Storm competitors and alternatives in order to make an informed decision for your business.
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StarTree
StarTree
StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning: - Data Volume: query performance sustained at petabyte scale - Ingest Rates: millions of events per second, continuously indexed for freshness - Concurrency: thousands to millions of simultaneous users served with sub-second latency With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.Starting Price: Free -
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CourseStorm
CourseStorm
CourseStorm is a powerful class registration and marketing platform perfect for nonformal Arts & Culture organizations, Community Education programs, Workforce Training, and Kids Activities & Camps. CourseStorm's turn-key system includes payment processing, rosters, waitlists, customizable forms, class communication, and automated marketing tools designed to increase your efficiency and reach more students. Designed to be affordable, CourseStorm is pay-as-you-go with zero up-front costs or long-term commitments. We know you’re busy, so we’ve spent countless hours building simple, yet powerful tools to help programs like yours to connect with their students. Whether you’re offering classes in-person or online, we offer many features to help you save time and money. These include online registration and payment processing, growing enrollments, group registration, mobile registration, email marketing, and much more. Save time and grow enrollments with CourseStorm!Starting Price: Pay-as-you-go -
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BrainStorm
Brainstorm Software
BrainStorm makes it easy for you to capture information from your head, your computer screen or any file. Grab what you need on the fly. organize and embellish it when it suits you. References to external files, programs, web and email addresses can be invoked with Magic Launch. BrainStorm doesn't get in your way. Its apparent simplicity hides enormous power. Use it to refine, enhance and organize your ideas and other information into a comprehensive and coherent structure. BrainStorm's Magic Paste automatically grabs text from the clipboard. This means that all you have to do is highlight and copy material you see on screen. You can use regular copy/paste if you prefer. In both cases, you can set BrainStorm up to take heed of or ignore things like indents, vertical spaces and line breaks. A web-publish button creates an HTML version of your work which is navigable in a similar way to BrainStorm itself. -
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FoodStorm
Instacart
Simplify your order ahead, prepared foods and catering management with FoodStorm. With over 15 years of research and development, FoodStorm software will automate your processes, generate more sales and delight your customers. Fully configurable to your business's unique needs. Custom built online ordering platforms matched to your branding. Automated reports to slash hours of work and improve accuracy. Integrated with a wide range of leading platforms across accounting, payments, marketing and communications, and many more, including grocery POS. Built in CRM system to gain powerful insights into your customers, and enable sales and marketing efforts. Cloud-based so you can access your account from anywhere with internet across multiple users, seeing real-time updates and information. FoodStorm can be used across many use cases including: holiday catering, made-to-order meals, deli pre-orders, custom cakes, everyday catering, coffee ordering & even floral! Get in touch today.Starting Price: $500.00/month -
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Apache Gobblin
Apache Software Foundation
A distributed data integration framework that simplifies common aspects of Big Data integration such as data ingestion, replication, organization, and lifecycle management for both streaming and batch data ecosystems. Runs as a standalone application on a single box. Also supports embedded mode. Runs as an mapreduce application on multiple Hadoop versions. Also supports Azkaban for launching mapreduce jobs. Runs as a standalone cluster with primary and worker nodes. This mode supports high availability and can run on bare metals as well. Runs as an elastic cluster on public cloud. This mode supports high availability. Gobblin as it exists today is a framework that can be used to build different data integration applications like ingest, replication, etc. Each of these applications is typically configured as a separate job and executed through a scheduler like Azkaban. -
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Apache Heron
Apache Software Foundation
Heron is built with a wide array of architectural improvements that contribute to high-efficiency gains. Heron is API compatible with Apache Storm and hence no code change is required for migration. Easily debug and identify the issues in topologies, allowing faster iteration during development. Heron UI gives a visual overview of each topology to visualize hot spot locations and detailed counters for tracking progress and troubleshooting. Heron is highly scalable both in the ability to execute large number of components for each topology and the ability to launch and track large numbers of topologies. -
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Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
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Apache Flink
Apache Software Foundation
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers. -
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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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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. -
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Thousands of customers use Amazon Managed Service for Apache Flink to run stream processing applications. With Amazon Managed Service for Apache Flink, you can transform and analyze streaming data in real-time using Apache Flink and integrate applications with other AWS services. There are no servers and clusters to manage, and there is no computing and storage infrastructure to set up. You pay only for the resources you use. Build and run Apache Flink applications, without setting up infrastructure and managing resources and clusters. Process gigabytes of data per second with subsecond latencies and respond to events in real-time. Deploy highly available and durable applications with Multi-AZ deployments and APIs for application lifecycle management. Develop applications that transform and deliver data to Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Service, and more.Starting Price: $0.11 per hour
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Apache Flume
Apache Software Foundation
Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault-tolerant with tunable reliability mechanisms and many failovers and recovery mechanisms. It uses a simple extensible data model that allows for online analytic applications. The Apache Flume team is pleased to announce the release of Flume 1.8.0. Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of streaming event data. -
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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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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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Apache Beam
Apache Software Foundation
The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases. -
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VeloDB
VeloDB
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools. -
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Hadoop
Apache Software Foundation
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2). -
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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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SelectDB
SelectDB
SelectDB is a modern data warehouse based on Apache Doris, which supports rapid query analysis on large-scale real-time data. From Clickhouse to Apache Doris, to achieve the separation of the lake warehouse and upgrade to the lake warehouse. The fast-hand OLAP system carries nearly 1 billion query requests every day to provide data services for multiple scenes. Due to the problems of storage redundancy, resource seizure, complicated governance, and difficulty in querying and adjustment, the original lake warehouse separation architecture was decided to introduce Apache Doris lake warehouse, combined with Doris's materialized view rewriting ability and automated services, to achieve high-performance data query and flexible data governance. Write real-time data in seconds, and synchronize flow data from databases and data streams. Data storage engine for real-time update, real-time addition, and real-time pre-polymerization.Starting Price: $0.22 per hour -
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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 Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
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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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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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Amazon Data Firehose
Amazon
Easily capture, transform, and load streaming data. Create a delivery stream, select your destination, and start streaming real-time data with just a few clicks. Automatically provision and scale compute, memory, and network resources without ongoing administration. Transform raw streaming data into formats like Apache Parquet, and dynamically partition streaming data without building your own processing pipelines. Amazon Data Firehose provides the easiest way to acquire, transform, and deliver data streams within seconds to data lakes, data warehouses, and analytics services. To use Amazon Data Firehose, you set up a stream with a source, destination, and required transformations. Amazon Data Firehose continuously processes the stream, automatically scales based on the amount of data available, and delivers it within seconds. Select the source for your data stream or write data using the Firehose Direct PUT API.Starting Price: $0.075 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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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. -
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StackStorm
StackStorm
StackStorm connects all your apps, services, and workflows. From simple if/then rules to complicated workflows, StackStorm lets you automate DevOps your way. No need to change your existing processes or workflows, StackStorm connects what you already have. Community is what makes a good product great. StackStorm is used by a lot of people around the world, and you can always count on getting answers to your questions. Stackstorm can be used to automate and streamline nearly any part of your business. Here are some of the most common applications. When failures happen, StackStorm can act as Tier 1 support: It troubleshoots, fixes known problems, and escalates to humans when needed. Continuous deployment can get complex, beyond Jenkins or other specialized opinionated tools. Automate advanced CI/CD pipelines your way. ChatOps brings automation and collaboration together; transforming devops teams to get things done better, faster, and with style. -
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StormSensor
StormSensor
Unlike traditional methods that only allow for strategic spot checks, StormSensor® provides coverage across your sewershed, and you are not limited to one or two months of data. Our powerful analytics, which includes real-time alerts and long-term tracking, capture relevant insights so you always know how your system is performing. We’re empowering our clients with the information they need to effectively manage conditions in their stormwater and wastewater infrastructure. Receive notifications of back-ups and flooding in real-time. With StormSensor®, it's possible to quantify overflows and problems before implementing solutions that are based on empirical data. At StormSensor®, we empower our clients to make informed decisions based on real data. Unlike traditional methods that only allow for strategic spot checks, StormSensor® provides coverage across your watershed, and you are not limited to one or two months of data. -
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PySpark
PySpark
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics. -
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NetThunder
NetThunder
NetThunder is deployed in one of two ways, either as an appliance, or as a system of connected appliances, we call that The Storm™. This allows NetThunder to provide computing solutions for a large variety of situations and is future-proof. A single appliance can easily be converted into The Storm™. The NetThunder platform allows you to scale at will. Unlike most hypercoverged infrastructure, NetThunder offers specialized modules the controller will autoconfigure for your environment - optimizing to maximum performance. Configuring multiple networks and a SAN is as simple as red-wire to red-wire. Our subscription pricing model means no huge upfront buy-in cost. NetThunder is deployed either as an appliance or a system of connected appliances we call The Storm™. This allows NetThunder to provide computing and storage solutions for a large variety of use cases.Starting Price: $50 per month -
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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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FormStorm
CharacTell
Arguably the fastest and most sensitive among document classifiers, FormStorm Classify can process many thousands of different documents fast and accurately. FormStorm Classify’s smart AI algorithmic technology learns a small sample of your documents and knows how to process thousands of their types and variations. It continues to learn as it processes and grows with you, automatically. Documents come in all shapes, sizes, and content range. Yet, they still need to be understood and classified so they may be either processed properly, or routed to the desired destination. FormStorm Classify can do just that. Train it one time, and it is ready to go! It will understand the nature of documents presented to it, and is capable of distinguishing among minute document differences. -
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Apache Pulsar
Apache Software Foundation
Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Configurable replication between data centers across multiple geographic regions. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Rest admin API for provisioning, administration, tools and monitoring. -
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Apache NiFi
Apache Software Foundation
An easy to use, powerful, and reliable system to process and distribute data. Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. Some of the high-level capabilities and objectives of Apache NiFi include web-based user interface, offering a seamless experience between design, control, feedback, and monitoring. Highly configurable, loss tolerant, low latency, high throughput, and dynamic prioritization. Flow can be modified at runtime, back pressure, data provenance, track dataflow from beginning to end, designed for extension. Build your own processors and more. Enables rapid development and effective testing. Secure, SSL, SSH, HTTPS, encrypted content, and much more. Multi-tenant authorization and internal authorization/policy management. NiFi is comprised of a number of web applications (web UI, web API, documentation, custom UI's, etc). So, you'll need to set up your mapping to the root path. -
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Cavisson NetStorm
Cavisson Systems
Cavisson NetStorm is a cost-effective, performance-enhancing and easy-to-use solution for enterprise applications. It is an extremely powerful load generator that provides an accurate estimation of Client Perceived Response Time (CPRT) enabling IT companies to guarantee the Service Level Agreements (SLA). Its advanced technology efficiently handles load variables, user realism, application realism and network realism. NetStorm is a proven solution providing root cause of the issues where legacy solutions failed, prompting Several Fortune 100 companies to switch over to using NetStorm. Massive load generation for accurate estimation of client perceived response time. Handle load variables, user, application, and network realism. As the web matures, two opposite trends are converging Web business providers want to increase the bottom line while Web users are becoming less forgiving. By using NetStorm, companies can spend their IT budget more intelligently. -
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Storm it
Storm it
Storm it is a simple app that allows you to add or collect your ideas/thoughts and share them as a Tweetstorm on Twitter. Storm It is perfect for Twitteratti’s who at times feel Twitter’s 140 character limit (or even #Twitter280) to be limiting. Moreover, with Storm it, you’ll be able to compose, manage, save as draft and preview tweetstorms before publishing. PRO features via in-app purchase allow you to control tweet breaks, Switch Twitter accounts, delete tweetstorms, customise your storm styles and respond to a tweet as well. We are confident in shipping world-class products for our clients because we build world class revenue generating products for ourselves which get featured in the App Stores, top websites and media channels. We are proud of the fact that we are one of the few companies in the world that can work on your product, right from inception to implementation. -
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GeoSTORM
CivilGEO
GeoSTORM is a Civil 3D integrated stormwater software that accelerates the process of creating, analyzing, and reviewing stormwater models, supporting numerous stormwater hydrology methods. GeoSTORM utilizes Rational Method and Modified Rational Method, SCS TR-20/TR-55, EPA SWMM, CUHP (Colorado Urban Hydrology Procedure), SBUH, (Santa Barbara Urban Hydrograph), and more. The software is designed to manage stormwater models with varying complexity. GeoSTORM offers: • Civil 3D Integration & Stormwater Element Catalog • Automated Engineering Workflows • Automated Engineering Report Creation • Automated CN & TOC Calculations • Automated Catchment Area Delineation • Interactive Detention Pond Sizing and Designing • Multiple Hydrology Methods Supported • Free Training & Engineering Project Assistance • 24x7 Technical Support -
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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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Apache Sentry
Apache Software Foundation
Apache Sentry™ is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster. Apache Sentry has successfully graduated from the Incubator in March of 2016 and is now a Top-Level Apache project. Apache Sentry is a granular, role-based authorization module for Hadoop. Sentry provides the ability to control and enforce precise levels of privileges on data for authenticated users and applications on a Hadoop cluster. Sentry currently works out of the box with Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala and HDFS (limited to Hive table data). Sentry is designed to be a pluggable authorization engine for Hadoop components. It allows you to define authorization rules to validate a user or application’s access requests for Hadoop resources. Sentry is highly modular and can support authorization for a wide variety of data models in Hadoop. -
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Apache Giraph
Apache Software Foundation
Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. Apache Giraph is an iterative graph processing framework, built on top of Apache Hadoop. -
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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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Apache Doris
The Apache Software Foundation
Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation. Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine. Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL. Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches. Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.Starting Price: Free -
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WebStorm
JetBrains
WebStorm is a powerful JavaScript and TypeScript integrated development environment (IDE) designed to boost developer productivity and enjoyment. It comes ready to use out of the box with essential tools for JavaScript, TypeScript, HTML, CSS, and popular frameworks like React, Angular, and Vue. WebStorm offers deep code understanding, fast navigation, safe refactoring, and built-in Git support. It automates complex tasks such as resolving merge conflicts and debugging tests, saving developers time. The IDE integrates advanced AI-powered coding assistance, including unlimited code completion and offline support. WebStorm’s customizable interface and plugin ecosystem make it adaptable to any developer’s workflow.Starting Price: $129 per user per year -
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StormWall
StormWall
StormWall is a global cybersecurity provider focused on safeguarding websites, networks, services, and IT infrastructures of any size from modern DDoS attacks. With over 13 years of experience in DDoS protection, StormWall currently serves more than 1,300 active clients worldwide and has successfully completed over 8,000 projects across 70 countries. StormWall’s extensive global filtering network spans eight scrubbing centers, delivering a combined filtering capacity of over 8 Tbps. The company offers advanced protection against all known types of DDoS attacks at every layer, from L3 to L7, ensuring robust defense against today’s advanced multi-vector threats. Antibot protection is included in the Enterprise pricing plan to safeguard your business-critical web applications from bots. With StormWall, clients pay only for legitimate traffic, avoiding extra costs associated with attacks, which makes long-term expense management predictable and transparent. Our lightning-fast 24/7 techniStarting Price: $72/month/user -
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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. -
46
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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DigiStorms
DigiStorms
DigiStorms is an AI-powered onboarding automation platform designed to help SaaS companies convert free users into paying customers through behavior-based email engagement. The platform analyzes a company’s product and user journey to automatically generate personalized onboarding email sequences tailored to key product milestones. DigiStorms tracks real-time user behavior, such as signups, feature usage, milestone completion, and inactivity, then sends targeted emails at the most relevant moments. Businesses can quickly create onboarding flows without manually writing every email or building complicated automation rules from scratch. The platform provides full visibility into user onboarding funnels, showing where users engage, stall, or drop off before upgrading. Every email sequence generated by DigiStorms is fully editable, allowing teams to customize messaging, timing, and triggers before launch.Starting Price: $19/month -
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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. -
49
Apache Axiom
The Apache Software Foundation
The Apache Axiom™ library provides an XML Infoset compliant object model implementation which supports on-demand building of the object tree. It supports a novel "pull-through" model which allows one to turn off the tree building and directly access the underlying pull event stream using the StAX API. It also has built in support for XML Optimized Packaging (XOP) and MTOM, the combination of which allows XML to carry binary data efficiently and in a transparent manner. The combination of these is an easy to use API with a very high performant architecture! Developed as part of Apache Axis2, Apache Axiom is the core of Apache Axis2. However, it is a pure standalone XML Infoset model with novel features and can be used independently of Apache Axis2. -
50
StormGeo
StormGeo
Empowering business decisions to safeguard the future. Delivering weather intelligence and advanced analytics amid a changing climate, scalable to your needs. Tropical storms and hurricanes are notoriously difficult to predict. With expert tools and meteorologists available 24/7, StormGeo delivers global tropical system updates and business decision guidance directly to you. While the world faces extreme weather and the effects of climate change, StormGeo’s team of thought leaders, analysts, and dedicated meteorologists will help guide your company through a changing environment. Bring your company to the future, where sustainability meets digitalization. Our climate, ocean, and data scientists as well as hundreds of meteorologists team up to protect your business in a changing environment. We monitor 100,000 onshore locations around the world with site-specific forecasts. We are available 24/7/365 days a year.
