Alternatives to PySpark
Compare PySpark alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to PySpark in 2026. Compare features, ratings, user reviews, pricing, and more from PySpark competitors and alternatives in order to make an informed decision for your business.
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SkySpark
SkyFoundry
SkyFoundry’s software solutions help clients derive value from their investments in smart systems. Our SkySpark analytics platform automatically analyzes data from automation and control systems, metering systems, sensors and other smart devices to identify issues, patterns, deviations, faults and opportunities for operational improvements and cost reduction. SkySpark helps building owners and operators “find what matters” in the vast amount of data produced by today’s smart systems.Starting Price: $60.00/one-time -
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Polars
Polars
Knowing of data wrangling habits, Polars exposes a complete Python API, including the full set of features to manipulate DataFrames using an expression language that will empower you to create readable and performant code. Polars is written in Rust, uncompromising in its choices to provide a feature-complete DataFrame API to the Rust ecosystem. Use it as a DataFrame library or as a query engine backend for your data models. -
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pandas
pandas
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data. -
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Vaex
Vaex
At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine. -
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Tumult Analytics
Tumult Analytics
Built and maintained by a team of differential privacy experts, and running in production at institutions like the U.S. Census Bureau. Runs on Spark and effortlessly supports input tables containing billions of rows. Supports a large and ever-growing list of aggregation functions, data transformation operators, and privacy definitions. Perform public and private joins, filters, or user-defined functions on your data. Compute counts, sums, quantiles, and more under multiple privacy models. Differential privacy is made easy, thanks to our simple tutorials and extensive documentation. Tumult Analytics is built on our sophisticated privacy foundation, Tumult Core, which mediates access to sensitive data and means that every program and application comes with an embedded proof of privacy. Built by composing small, easy-to-review components. Provably safe stability tracking and floating-point primitives. Uses a generic framework based on peer-reviewed research. -
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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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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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MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
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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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IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.
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Deequ
Deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library. -
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Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.Starting Price: $0.0085 per GB per hour
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Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO). -
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Study Fetch
StudyFetch
StudyFetch is a revolutionary new platform that allows you to upload your course materials and create interactive study sets. You can study with an AI tutor, create flashcards, generate notes, take practice tests, and more. Spark.e, our AI tutor, allows you to interact directly with your study materials. You can ask questions, create flashcards, take practice tests, and customize your learning experience. StudyFetch's AI, Spark.e, utilizes advanced machine learning algorithms to offer a tailored, interactive tutoring experience. Once you upload your study materials, Spark.e scans and indexes them, making the content searchable and accessible for real-time queries. -
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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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Beaker Notebook
Two Sigma Open Source
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The widgets remain interactive in both notebooks saved to disk, and notebooks published to the web. They include unique features for handling many points, nanosecond resolution, zooming, and exporting. BeakerX’s table widget automatically recognizes pandas data frames and allows you to search, sort, drag, filter, format, select, graph, hide, pin, and export to CSV or clipboard. This makes connecting to spreadsheets quickly and easy. BeakerX has a Spark magic with GUIs for configuration, status, progress, and interrupt of Spark jobs. You can either use the GUI or create your own SparkSession with code. -
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IOMETE
IOMETE
IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control. Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual. Included in one platform: - Data Lakehouse(s) - Data Catalog - SQL Editor - Apache Spark Jobs - ML Notebooks - Orchestration Engine - Spark Connect Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible. Transparent pricing — CPU-based, no per-query fees, no billing surprises.Starting Price: Free -
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Spark NLP
John Snow Labs
Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.Starting Price: Free -
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GitHub Spark
GitHub Spark
We can enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime. GitHub Spark is an AI-powered tool for creating and sharing micro apps (“sparks”), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code. It enables this through a combination of three tightly integrated components. An NL-based editor, which allows easily describe your ideas, and then refine them over time. A managed runtime environment, which hosts your sparks, and provides them access to data storage, theming, and LLMs. A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere. Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the spark, and use it directly, or remix it, in order to further adapt it to their preferences. -
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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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Spark Voicemail
Spark
Spark Voicemail revolutionises your voicemail experience, making it effortless to retrieve and respond to voicemails. Spark Pay Monthly mobile users can install and use the Spark Voicemail app for free as part of their plan. Spark Prepay users need to activate the ‘Voicemail Unlimited’ extra for $1 per 4 weeks, which offers unlimited App and Voicemail use. So you can boost your responsiveness by also sending voicemails to your assistant or team to respond on your behalf! Don't worry; you can filter out calls from personal contacts. With our built-in automatic transcription service, Spark Voicemail makes your voicemails effortlessly searchable. Spark Voicemail lets you easily record a new one. Change it every season, or if you're away on holiday.Starting Price: Free -
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Apache PredictionIO
Apache
Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.Starting Price: Free -
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SparkInfluence
SparkInfluence
SparkInfluence helps the most successful government affairs and public relations teams better educate, engage, and empower their networks to act. SparkInfluence is an all-in-one, mobile-friendly software platform with the most advanced toolset on the market. Build your data-driven effort today and start getting the most out of your audience. SparkInfluence is a simple, easy-to-use software to help you build a better advocacy effort, PAC, or online community. Combining the best of grassroots advocacy tools alongside fundraising, CRM, PAC, grasstops, and more, SparkInfluence has all the functionality you need to track, manage, educate, engage, and empower your audience. Each product in the software platform is powerful on its own, but the real magic happens when you combine them together. SparkPAC is the most advanced PAC software on the market. -
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sparkPRO
Quality Early Years
sparkPRO is designed to be efficient and promote the well-being of a team in any setting. sparkPRO is more than a learning journey; the features support your team with the Early Year Foundation Stage and curriculum delivery. A leading EYFS curriculum software package, sparkPRO organizes staff time, systematizes procedures, provides ongoing EYFS assessment with a focus on quality during delivery. It provides incredible financial savings, operationally by cutting down on planning, observation, assessment and recording times. Tangibly you will save on ink and paper costs. sparkPRO not only incorporates the whole of our sparkESSENTIAL package, it also includes additional features and advanced reporting options. Supports whole team to deliver a curriculum and ‘get it right’ for each child, assessment, planning, recording and evaluating personal practice. Support your staff welfare, manage time, increase standards, allow more time to meet individual needs. -
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WebSparks
WebSparks.AI
WebSparks is an AI-powered platform that enables users to transform ideas into production-ready applications swiftly and efficiently. By interpreting text descriptions, images, and sketches, it generates complete full-stack applications featuring responsive frontends, robust backends, and optimized databases. With real-time previews and one-click deployment, WebSparks streamlines the development process, making it accessible to developers, designers, and non-coders alike. WebSparks is a full-stack AI software engineer.Starting Price: $15/month -
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Walmart Spark
Walmart
Available in more than 600 cities, Spark Driver makes it possible for service providers to earn money by shopping and delivering customer orders from Walmart and other retailers. It’s simple: customers place their orders online; orders are distributed to service providers through the Spark Driver App, and service providers accept to complete the order delivery! Flexibility, convenience, and simplicity, all you need is a car and a phone! Visit the Join Spark Driver tab on the Spark Driver website to view the service area map, select your preferred area, and complete the enrollment form. Once your information has been submitted for review, you will receive a confirmation email from our third-party administrator, Delivery Drivers, Inc. (DDI), which will provide details on how to complete the enrollment and create your Spark Driver account. Background check results are typically available within 2-7 business days, depending on state and county processes. -
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Spark
RebelWare
Spark is our fully customizable landing page-builder that presents content in a format tailor-made for specific audiences across a broad range of applications — contact forms, sales enablement, welcome, and onboarding. We created Spark to deliver one thing really well: send information to key audiences in a fast, consistent, branded, engaging, and trackable way. Spark places all of your sales engagement materials directly in your sales team’s hands, the lag time in waiting for a response. Spark can help in any situation that requires quick, customizable presentation of documents, including sales, marketing, training, compliance, HR and more. -
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ReSpark
ReSpark
ReSpark is a professional, cloud-based salon and spa software built for modern beauty businesses. Whether you run a hair salon, spa, or beauty clinic, ReSpark helps you simplify daily operations, improve staff efficiency, and boost overall profits. From appointments to payments, marketing to inventory—ReSpark automates it all so you can focus on what matters most: your clients. ReSpark is an all-in-one salon management system that includes POS & Billing, Online Appointments & Dashboard, CRM & Client Profiles, Memberships & Packages, E-Commerce Integration, Inventory Management, Digital Catalog, Campaign Creator & WhatsApp Marketing, Feedback & Loyalty Programs, and Advanced Reports & Analytics. ReSpark salon software supports everything you need—from managing daily tasks to scaling your business online. -
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GuideSpark
GuideSpark
GuideSpark is the leader in change communications guiding over 1,000 enterprise customers to business success by changing the hearts and minds of employees. GuideSpark Communicate Cloud® drives organizational change with communication journeys, targeted experiences that reach, engage and change employee behavior to achieve your critical business goals. Manage, measure and scale your internal communications effectiveness with GuideSpark. -
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Spark.work
Spark.work
Spark.work is a platform that unites HR Management (HRMS) and Strategy Execution. Designed for growing companies, Spark helps leaders gain clarity and efficiency in people operations, then leverages that foundation to align and execute strategy across the organization. What Spark.work Offers Spark simplifies HR processes while connecting them directly to business goals: People Management: Centralized employee data, leave and attendance tracking, onboarding/offboarding workflows, document management, and visual organization charts. Talent & Growth: Applicant Tracking System (ATS), performance reviews, employee feedback, and development planning. Strategy & Performance: Strategy maps, OKRs, KPIs, and initiatives — all linked back to people and teams. AI Assistance: Smart agents that support KPI/OKR setup, surface insights, and automate repetitive tasks.Starting Price: $1.5 month/per user -
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Spark Inspector
Spark Inspector
With a three-dimensional view of your app's interface and the ability to change view properties at runtime, Spark can help you craft the best apps on earth. Wiring your app together with notifications? Spark's notification monitor shows you each NSNotification as it's sent, complete with a stack trace, a list of recipients and invoked methods, and more. Understand app structure at a glance and debug smarter. Connect your app to the Spark Inspector, and you'll see your app's interface front and center. As you interact with your app, the inspector updates in real-time! We monitor every change to your app's view hierarchy so you can always see what's going on. The view of your app you see in Spark isn't just beautiful, it's completely editable. You can modify almost every property of your views, from their class-level attributes to their CALayer transforms. When you make a modification, Spark invokes a method call within your app to directly modify that property.Starting Price: $49.99 one-time payment -
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SparkGrid
Sparksoft Corporation
SparkGrid is a user-friendly data management tool that simplifies communication with Snowflake by offering a tabularized interface similar to standard spreadsheet applications. It allows users to perform complex data tasks without needing extensive technical knowledge, making Snowflake more accessible. SparkGrid supports multi-field editing, SQL statement previews, and built-in error handling and security features to ensure data integrity. The intuitive graphical user interface enables easy navigation, selection, and manipulation of data such as adding or removing rows and columns. By bridging the gap between visual data management and SQL queries, SparkGrid empowers teams to work efficiently. It is designed to enhance productivity and democratize access to Snowflake’s powerful data capabilities. Available on AWS's marketplace, just search "Sparkgrid AWS Marketplace" Or contact us for custom implementation options.Starting Price: $0.20/hour -
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Tabular
Tabular
Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.Starting Price: $100 per month -
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SparkLoop
SparkLoop
Thousands of smart newsletter creators use SparkLoop to get more, high-quality email subscribers on autopilot. You should too. With SparkLoop it's easy to reward your subscribers for sharing your newsletter with their friends. So you grow faster, improve subscriber engagement, and spend less money and time on growth. Unlike other referral tools, SparkLoop was built for newsletters. So you can set up your powerful referral program, exactly like Morning Brew, in just a few clicks. No developers, code or Zapier hacks needed! Give all your subscribers a unique referral link, right inside your newsletter. Incentivize your subscribers to share their referral link with rewards and giveaways. Watch your audience grow your email-list for you, from your SparkLoop dashboard. The biggest and best newsletters on the web trust SparkLoop to help them grow. With advanced fraud prevention, full white-label and enterprise-grade security, we're the only solution you can trust.Starting Price: $99 per month -
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CredSpark
CredSpark
Most organizations aren’t experiencing a shortage of data. What they lack is a reliable way to generate data, insights, and audience engagement that can actually drive business results. Anyone can ask questions. CredSpark helps you ask the right questions while listening for your audience’s responses at scale. Learn how CredSpark is helping organizations move beyond just transactional data to build the data and insights that take their business to the next level. Answer a few questions with CredSpark's Thought Starter and we'll show you opportunities based on your interests, goals, and needs. Interested in learning more? Just let us know at the end and we'll reach out to develop a custom proposal for you. Our clients start with curiosity about their audience. With CredSpark, they’ve built ongoing conversations with individual audience members at scale, driving data, insights, interactions, and transactions. -
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Available in IBM Watson® Studio and Watson™ Knowledge Catalog, the data refinery tool saves data preparation time by quickly transforming large amounts of raw data into consumable, quality information that’s ready for analytics. Interactively discover, cleanse, and transform your data with over 100 built-in operations. No coding skills are required. Understand the quality and distribution of your data using dozens of built-in charts, graphs, and statistics. Automatically detect data types and business classifications. Access and explore data residing in a wide spectrum of data sources within your organization or the cloud. Automatically enforce policies set by data governance professionals. Schedule data flow executions for repeatable outcomes. Monitor results and receive notifications. Easily scale out via Apache Spark to apply transformation recipes on full data sets. No management of Apache Spark clusters needed.
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Spark Framework
Spark Framework
Build production ready, monolithic, full-stack web applications fast with ASP.NET. Install the open source Spark CLI tool to get started and create your first project Every spark project comes configured with all the essential features you need for a full stack web application. -
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Spark Cloud Studio
Spark Cloud Studio
Spark Cloud Studio is a cloud-native platform that delivers high-performance computing remotely, replacing the need for powerful local machines with instant access to scalable virtual workstations, unlimited secure storage, and on-demand CPU/GPU power for rendering and compute tasks all from your browser or desktop app. Its core products include Spark ProStation™ cloud workstations with customizable hardware and pre-installed creative and technical tools, Spark ShareSync™ unlimited encrypted file storage with real-time sync and versioning across devices, Spark SmartCompute™ scalable render farm resources that spin up on demand for heavy workloads, and a full creative stack ready to launch without installs. It supports collaboration with real-time file sharing and team management, integrates with existing tools and pipelines, and offers low-latency global access on virtually any device.Starting Price: $0.99 per hour -
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BigLake
Google
BigLake is a storage engine that unifies data warehouses and lakes by enabling BigQuery and open-source frameworks like Spark to access data with fine-grained access control. BigLake provides accelerated query performance across multi-cloud storage and open formats such as Apache Iceberg. Store a single copy of data with uniform features across data warehouses & lakes. Fine-grained access control and multi-cloud governance over distributed data. Seamless integration with open-source analytics tools and open data formats. Unlock analytics on distributed data regardless of where and how it’s stored, while choosing the best analytics tools, open source or cloud-native over a single copy of data. Fine-grained access control across open source engines like Apache Spark, Presto, and Trino, and open formats such as Parquet. Performant queries over data lakes powered by BigQuery. Integrates with Dataplex to provide management at scale, including logical data organization.Starting Price: $5 per TB -
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Spark Hire
Spark Hire
Spark Hire is an easy to use video interviewing platform with 5,000+ organizations conducting video interviews in over 100 countries. Since launching in 2012, Spark Hire has become the fastest growing video interviewing platform. Organizations of all sizes are utilizing Spark Hire to make better hires faster than ever before. All plans include unlimited one-way and recorded live video interviews with no contracts or setup fees. Sign up in under 2 minutes or request a demo to learn more today!Starting Price: $119.00 USD per month -
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Deeplearning4j
Deeplearning4j
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers. -
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Pepperdata
Pepperdata, Inc.
Pepperdata autonomous cost optimization for data-intensive workloads such as Apache Spark is the only solution that delivers 30-47% greater cost savings continuously and in real time with no application changes or manual tuning. Deployed on over 20,000+ clusters, Pepperdata Capacity Optimizer provides resource optimization and full-stack observability in some of the largest and most complex environments in the world, enabling customers to run Spark on 30% less infrastructure on average. In the last decade, Pepperdata has helped top enterprises such as Citibank, Autodesk, Royal Bank of Canada, members of the Fortune 10, and mid-sized companies save over $250 million. -
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Blackberry Spark
BlackBerry
Trusted Unified Endpoint Security and Unified Endpoint Management. BlackBerry Spark® offers visibility and protection across all endpoints, including personal laptops and smartphones used for work. It leverages AI, machine learning and automation to provide improved cyber threat prevention. BlackBerry Spark includes a comprehensive Unified Endpoint Security (UES) layer that seamlessly works with BlackBerry Unified Endpoint Management (UEM) to deliver Zero Trust security with Zero Touch experience. But one size rarely fits all, especially with a remote workforce using devices that may or may not be owned by your organization. That's why BlackBerry Spark Suites are available with a range of offerings to meet your needs for UEM and/or UES. BlackBerry Spark offers the broadest set of security capabilities, management tools and visibility covering people, devices, networks, apps, and automation. -
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SparkHub
Decision Accelerator
SparkHub is a software tool that provides team process, structure and tools to drive collaboration among stakeholders. SparkHub is used to curate existing content (facts, evidence, data) and structure it in a hierarchical, decision-forcing manner. This approach aims to create more compelling presentations that guide stakeholders towards a clear line of argumentation. The SparkHub Advantage: - Faster Decision Making: Streamlines the process for clearer conclusions. - Informed Choices: Ensures all decisions are backed by sound evidence and a comprehensive understanding of the situation. - Enhanced Collaboration: Fosters communication and engagement amongst stakeholders. - Improved Transparency: Provides clear visibility into the decision-making process for all involved.Starting Price: $0 -
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Laravel Spark
Laravel
Laravel Spark is a comprehensive SaaS starter kit designed to streamline the development of subscription-based applications by providing essential features out of the box. It allows developers to define monthly and yearly subscription plans through a simple configuration file, enabling customers to manage their subscriptions via a dedicated billing portal. The platform supports multiple payment gateways, including Stripe and Paddle, facilitating recurring payments, per-seat pricing, and PayPal transactions. Spark's billing portal operates independently from the main application, granting developers the flexibility to utilize their preferred frontend technologies, such as Blade with Bootstrap or Inertia with Vue.js. This separation also simplifies the process of upgrading Spark, as it doesn't interfere with the application's core codebase. Additional features include automated invoice emailing, downloadable PDF invoices, and support for per-seat billing.Starting Price: $99 per project -
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Daft
Daft
Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Daft can handle User-Defined Functions (UDFs) in columns, allowing you to apply complex expressions and operations to Python objects with the full flexibility required for ML/AI. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. -
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Spark Prospect
Spark Prospect
Spark Prospect is the AI sales prospecting and sales enablement platform that understands your leads and prospects by assessing personality, creating custom pitches, and inquiring about interests, style, and more. Get better lead engagement with AI. Personalize outreach and pitches to prospects using an understanding of their personalities based on their LinkedIn profile. Navigate LinkedIn with AI. Spark Prospect makes prospecting easy for sales, PR, investor, talent teams. AI personality assessments, cold pitch builders, and more for LinkedIn profiles. Spark Prospect uses artificial intelligence to understand personalities, create custom pitches, and inquire about target leads and prospects navigating LinkedIn data.Starting Price: $9 per month -
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Apache Kylin
Apache Software Foundation
Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query. -
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ClaimSpark
ClaimSpark
ClaimSpark is an AI-powered platform designed to help roofing contractors create insurance-ready estimates quickly and accurately. The tool converts roof reports, photos, and insurance documents into professional claim estimates within minutes. By analyzing uploaded documents, ClaimSpark identifies missing line items, outdated pricing codes, and underbilled work. This helps contractors capture the full value of their roofing projects without relying on expensive supplement consultants. The platform automatically links line items to supporting evidence such as photos and measurement reports. Contractors can also add additional findings using plain language, which the system converts into proper insurance pricing codes. ClaimSpark helps roofers increase claim approvals and maximize revenue while simplifying the insurance estimate process.Starting Price: $200/job -
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SparkPredict
SparkCognition
SparkPredict, SparkCognition’s analytics solution, is revolutionizing maintenance by minimizing downtime and delivering millions of dollars in operating cost savings. SparkPredict is a turnkey solution that analyzes sensor data and uses machine learning to return actionable insights, flagging suboptimal operations and identifying impending failures before they occur. Equip your operations with predictive AI analytics that protect assets and keep them online. Drive labor efficiencies during downtime with insights that inform repairs. Retain the knowledge of your workforce with machine learning that codifies human expertise. Predict more machine problems with less work and expand asset failure horizons. Take quick, informed repair actions with explainable failure indicators. Maintain predictive accuracy with automatic model retraining that improves models over time.
