Best IT Management Software for Apache Spark
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Compare the Top IT Management Software that integrates with Apache Spark as of November 2025
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This a list of IT Management software that integrates with Apache Spark. Use the filters on the left to add additional filters for products that have integrations with Apache Spark. View the products that work with Apache Spark in the table below.
What is IT Management Software for Apache Spark?
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making. Compare and read user reviews of the best IT Management software for Apache Spark currently available using the table below. This list is updated regularly.
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1
Kubernetes
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.Starting Price: Free -
2
Sematext Cloud
Sematext Group
Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.Starting Price: $0 -
3
Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
4
Activeeon ProActive
Activeeon
The solution provided by Activeeon is suited to fit modern challenges such as the growth of data, new infrastructures, cloud strategy evolving, new application architecture, etc. It provides orchestration and scheduling to automate and build a solid base for future growth. ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments (Windows, Linux, Mac, Unix, etc). ProActive Resource Manager makes compute resources available for task execution. It handles on-premises and cloud compute resources in an elastic, on-demand and distributed fashion. ProActive AI Orchestration from Activeeon empowers data engineers and data scientists with a simple, portable and scalable solution for machine learning pipelines. It provides pre-built and customizable tasks that enable automation within the machine learning lifecycle, which helps data scientists and IT Operations work.Starting Price: $10,000 -
5
Alluxio
Alluxio
Alluxio is world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between data driven applications and storage systems, bringing data from the storage tier closer to the data driven applications and makes it easily accessible enabling applications to connect to numerous storage systems through a common interface. Alluxio’s memory-first tiered architecture enables data access at speeds orders of magnitude faster than existing solutions. Imagine as an IT leader having the flexibility to choose any services that are available in public cloud and on premises. And imagine being able to scale your storage for your data lakes with control over data locality and protection for your organization. With these goals in mind, NetApp and Alluxio are joining forces to help our customers adapt to new requirements for modernizing data architecture with low-touch operations for analytics, machine learning, and artificial intelligence workflows.Starting Price: 26¢ Per SW Instance Per Hour -
6
Instaclustr
Instaclustr
Instaclustr is the Open Source-as-a-Service company, delivering reliability at scale. We operate an automated, proven, and trusted managed environment, providing database, analytics, search, and messaging. We enable companies to focus internal development and operational resources on building cutting edge customer-facing applications. Instaclustr works with cloud providers including AWS, Heroku, Azure, IBM Cloud, and Google Cloud Platform. The company has SOC 2 certification and provides 24/7 customer support.Starting Price: $20 per node per month -
7
PubSub+ Platform
Solace
Solace PubSub+ Platform helps enterprises design, deploy and manage event-driven systems across hybrid and multi-cloud and IoT environments so they can be more event-driven and operate in real-time. The PubSub+ Platform includes the powerful PubSub+ Event Brokers, event management capabilities with PubSub+ Event Portal, as well as monitoring and integration capabilities all available via a single cloud console. PubSub+ allows easy creation of an event mesh, an interconnected network of event brokers, allowing for seamless and dynamic data movement across highly distributed network environments. PubSub+ Event Brokers can be deployed as fully managed cloud services, self-managed software in private cloud or on-premises environments, or as turnkey hardware appliances for unparalleled performance and low TCO. PubSub+ Event Portal is a complimentary toolset for design and governance of event-driven systems including both Solace and Kafka-based event broker environments. -
8
Tonic Ephemeral
Tonic
Stop wasting time provisioning and maintaining databases yourself. Effortlessly create isolated test databases to ship features faster. Equip your developers with the ready-to-go data they need to keep fast-paced projects on track. Spin up pre-populated databases for testing purposes as part of your CI/CD pipeline, and automatically tear them down once the tests are done. Quickly and painlessly spin up databases at the click of a button for testing, bug reproduction, demos, and more with built-in container orchestration. Use our patented subsetter to shrink PBs down to GBs without breaking referential integrity, then leverage Tonic Ephemeral to spin up a database with only the data needed for development to cut cloud costs and maximize efficiency. Pair our patented subsetted with Tonic Ephemeral to get all the data subsets you need for only as long as you need them. Maximize efficiency by getting your developers access to one-off datasets for local development.Starting Price: $199 per month -
9
ScaleOps
ScaleOps
Reduce Kubernetes costs by up to 80% and enhance cluster reliability by using real-time, application context-aware, automation for your most critical production environments. We are bringing a new era of cloud resource management by using our proprietary technology of real-time automation & application context awareness, unlocking the full potential of cloud-native applications. Cut your Kubernetes costs by up to 80% through our intelligent resource optimization and automated workload management, ensuring you only pay for what you need without sacrificing performance. Enhance your Kubernetes environments for peak application performance and improve cluster reliability with proactive and reactive mechanisms that automatically mitigate issues caused by sudden, unexpected bursts and stressed nodes, ensuring stability and performance. Installation takes just 2 minutes. Starting with read-only permissions, you will immediately discover the potential our platform can bring to your apps.Starting Price: $5 per month -
10
Querona
YouNeedIT
We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data. -
11
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. -
12
Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
13
Lyftrondata
Lyftrondata
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse. -
14
Xtendlabs
Xtendlabs
Installing, and configuring today’s complex software technology platforms takes an extraordinary investment in time and resources. Not with Xtendlabs. Xtendlabs Emerging Technology Platform-as-a-Services provides immediate access to emerging Big Data, Data Sciences, and Database technology platforms online, from any device and location, 24/7. Xtendlabs are available on-demand, any time, from any location, including home, office or the road. Xtendlabs scale to meet your needs on-demand, so you can focus on your business problem and learning rather than struggling to find and set up infrastructure . Just sign-in to get immediate access to your virtual lab environment. Xtendlabs requires no virtual machine installation, system setup or configuration, saving valuable time and resources. Pay as you go monthly. With Xtendlabs there are no upfront investments in software or hardware. -
15
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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16
Sync
Sync Computing
Sync Computing offers Gradient, an AI-powered compute optimization engine designed to enhance data infrastructure efficiency. By leveraging advanced machine learning algorithms developed at MIT, Gradient provides automated optimization for organizations running data workloads on cloud-based CPUs or GPUs. Users can achieve up to 50% cost savings on their Databricks compute expenses while consistently meeting runtime service level agreements (SLAs). Gradient's continuous monitoring and fine-tuning capabilities ensure optimal performance across complex data pipelines, adapting seamlessly to varying data sizes and workload patterns. The platform integrates with existing data tools and supports multiple cloud providers, offering a comprehensive solution for managing and optimizing data infrastructure. -
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Astro by Astronomer
Astronomer
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a modern data orchestration platform, powered by Apache Airflow, that enables the entire data team to build, run, and observe data pipelines-as-code. Astronomer is the commercial developer of Airflow, the de facto standard for expressing data flows as code, used by hundreds of thousands of teams across the world. -
18
Google Cloud Bigtable
Google
Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started. -
19
IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
20
Privacera
Privacera
At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™. -
21
HPE Ezmeral
Hewlett Packard Enterprise
Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases. -
22
Prodea
Prodea
Launch secure, scalable and globally compliant connected products with services within six months. Prodea provides the only IoT platform-as-a-service (PaaS) that was specifically designed for manufacturers of mass-market consumer home products. It is comprised of three main services. IoT Service X-Change Platform, for quickly launching connected products with services across global markets requiring minimal development. Insight™ Data Services, to gain key insights from user and product usage data. And EcoAdaptor™ Service, to enhance product value through cloud-to-cloud integration and interoperability with other products and services. Prodea has helped its global brand customers launch 100+ connected products, in less than six months on average, across six continents. This was made possible by using the Prodea X5 Program which was designed to work with our three main cloud services to help brands evolve their systems. -
23
Pavilion HyperOS
Pavilion
Powering the most performant, dense, scalable, and flexible storage platform in the universe. Pavilion HyperParallel File System™ provides the ability to scale across an unlimited number of Pavilion HyperParallel Flash Arrays™, providing 1.2 TB/s read, and 900 GB/s write bandwidth with 200M IOPS at 25µs latency per rack. Uniquely capable of providing independent, linear scalability of both capacity and performance, the Pavilion HyperOS 3 now provides global namespace support for both NFS and S3, enabling unlimited, linear scale across an unlimited number of Pavilion HyperParallel Flash Array systems. Take advantage of the power of the Pavilion HyperParallel Flash Array to enjoy unrivaled levels of performance and availability. The Pavilion HyperOS includes patent-pending technology to ensure that your data is always available, with performant access that legacy arrays cannot match. -
24
Lightbits
Lightbits Labs
We help our customers achieve hyperscale efficiency and cost savings for their own private cloud or public cloud storage as a service offering. With our software-defined block storage solution, Lightbits, customers scale their business effortlessly, accelerate IT operations, and reduce cost – at the speed of local flash. Break the dependency between compute and storage to allocate resources independently to bring the flexibility and efficiency of the cloud on-premises. Deliver low latency and high performance while guaranteeing high availability for your distributed databases and cloud native applications such as SQL, NoSQL, and “in memory”. With the constant growth of data in the forever available data center, one of the critical challenges is that applications and services running at scale must stay stateful as they migrate around the data center in order to keep services available and efficient in the presence of constant failures. -
25
NVIDIA Magnum IO
NVIDIA
NVIDIA Magnum IO is the architecture for parallel, intelligent data center I/O. It maximizes storage, network, and multi-node, multi-GPU communications for the world’s most important applications, using large language models, recommender systems, imaging, simulation, and scientific research. Magnum IO utilizes storage I/O, network I/O, in-network compute, and I/O management to simplify and speed up data movement, access, and management for multi-GPU, multi-node systems. It supports NVIDIA CUDA-X libraries and makes the best use of a range of NVIDIA GPU and networking hardware topologies to achieve optimal throughput and low latency. In multi-GPU, multi-node systems, slow CPU, single-thread performance is in the critical path of data access from local or remote storage devices. With storage I/O acceleration, the GPU bypasses the CPU and system memory, and accesses remote storage via 8x 200 Gb/s NICs, achieving up to 1.6 TB/s of raw storage bandwidth. -
26
Unravel
Unravel Data
Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.
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