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Big Data 75: Companies Driving Innovation in 2025


insightsoftware
www.insightsoftware.com
With data at the heart of everything the company does, insightsoftware enables automated processes, delivers trusted insights, boosts predictability, and increases productivity.

Innovative Routines International (IRI)
www.iri.com 
A proven leader in data processing, IRI offers affordable data transformation speed in volume and superior personally identifiable information security plus test data management.

Wrangling and Securing Big Data

IRI Voracity® manipulates and manages a huge range and volume of data from a single pane of glass built on Eclipse™. Use Voracity to rapidly and reliably discover, integrate, migrate, govern, and analyze data on-premise or in the cloud, while addressing all ‘V’ challenges of big data:

VOLUME
Data from internal and public sources are growing exponentially. Voracity’s long proven IRI CoSort engine performs and combines multi-gigabyte transforms in seconds, besting legacy sort, BI, DB, and ETL tool speeds by 2-20X.

VARIETY
The myriad structured and unstructured sources is beyond most tools. Voracity supports more than 150 data sources and targets which include legacy and EDI files, multiple and multi-byte data and endian types, every RDBMS, plus many big data and cloud/SaaS sources.

VELOCITY
CDR, IOT, social, and transactional data come fast, and at different intervals. CoSort or seamlessly integrated Hadoop engines in Voracity scale workloads across commodity hardware. Voracity can also process real-time, near-real-time, or streaming DB, file, or message data through Kafka or MQTT, pipes or procedures, Spark or Storm, and IRI Ripcurrent.

VERACITY
Low quality data lowers analytic and testing value, and PII puts you at risk. Voracity’s validation, scrubbing, enrichment, and unification features all improve data quality. Its embedded data classification, discovery, and masking capabilities— plus database subsetting and realistic test data synthesis— help you nullify breaches, enhance DevOps, and comply with data privacy laws.

VALUE
As you (re)consider your informational and decision needs from data, consider the value of having a true production analytic platform that marries data preparation with analytics and visualization. Then compare Voracity’s affordable hostname-based licensing options against the steep cost of almost every other enterprise-level tool.

IRI Voracity
www.iri.com

Korem 
www.korem.com 
Korem is a geospatial data provider whose one-stop-shop drives the successful adoption of geospatial technology while managing risk.

MariaDB
https://mariadb.com 
Delivering one of the most popular database servers in the world, MariaDB—created by the original developers of MySQL—turns data into structured information in a wide array of applications.

Materialize
https://materialize.com 
Materialize is the live data layer for apps and agents, enabling enterprises to create composable data products using complex transformations of live data without compromising trustworthiness.

Melissa
www.melissa.com 
With a focus on accuracy, Melissa turns flawed data into actionable insights, empowering businesses to unlock a 360-degree view of their customers.

Microsoft
www.microsoft.com 
Microsoft delivers a wide array of services and solutions that cover desktop applications, relational database management technology, operating systems, search, and mobile devices both in the cloud and on-prem, empowering every person and every organization to achieve more.

Modern Data Company
www.themoderndatacompany.com 
Unifying all data across silos, at scale, the Modern Data Company was founded to radically simplify how organizations manage, access, and interact with data.

Big Data Trailblazer, by Srujan Akul, Co-founder and CEO, The Modern Data Company, creator of DataOS

THE MODERN DATA COMPANY is redefining enterprise data management for the AI era, transforming data from a technical challenge into an organization’s most powerful business asset. Modern’s flagship platform, DataOS, is the world’s first operating system for data, providing a breakthrough layer that integrates with existing data stacks, regardless of whether they’re advanced or legacy systems. DataOS turns disparate datasets into production-ready data products in just weeks. DataOS closes the gap between processed data and AI-native activation by delivering governed, context-aware, reusable data assets that connect seamlessly with existing tools, workflows, Agents, and LLMs.

Fortune 1000+ enterprises are using DataOS to solve mission-critical data challenges and scale AI. With DataOS, these companies are accelerating AI adoption by up to 90% while substantially reducing data consumption and platform costs, delivering measurable increases in business agility. Modern’s rapidly expanding customer base includes global category leaders across manufacturing, distribution, financial services, solution providers, and more, who trust DataOS to power their AI and business transformation. The Modern Data Company is based in Palo Alto, California.

The Modern Data Company
srujan@tmdc.io

MongoDB
www.mongodb.com 
Loved by developers and built for modern applications, MongoDB delivers a modern database that adapts and scales to handle all an organization’s application requirements.

Monte Carlo
www.montecarlodata.com 
Monte Carlo delivers the only end-to-end data and AI observability platform for enterprise teams, helping to reduce risk, improve data and AI health, and promote trust at scale.

Neo4j
https://neo4j.com 
Neo4j, provider of one of the world’s most popular graph databases, helps companies uncover hidden insights, adapt to changing needs, and make smarter decisions faster by storing data as a network of connected nodes.

NetApp
www.netapp.com 
NetApp enables organizations to manage any data, for any application, anywhere it’s needed—optimized, secured, and protected by intelligent data infrastructure.

For organizations using open source technologies to meet the demands of modern applications, reaching and maintaining the highest levels of reliability is critical. However, designing, implementing, deploying and operating open source application infrastructure is extremely complex for engineering and DevOps teams. NetApp Instaclustr is the trusted open source partner for the enterprise that accelerates time to value, reduces ongoing operational costs and delivers improved reliability when adopting these technologies. Unlike other solutions, Instaclustr supports multiple open source application infrastructure technologies across all major cloud platforms and on-prem deployments. Instaclustr also uniquely provides multiple delivery models (managed platform, enterprise support and consulting) all backed by industry leading SLAs and NetApp’s 30+ years of enterprise experience.

Additionally, Instaclustr delivers a strategic and reliable solution for delivering GenAI applications in a dynamic and rapidly evolving landscape.

Focusing on the leading-edge open source data technologies, the Instaclustr Managed Platform makes it easy to deploy, maintain and scale the right data infrastructure for GenAI applications—removing the burden and saving time, effort and costs.

Instaclustr provides the managed services, expertise and support that confidently delivers enterprise grade open source data technologies that power production-ready Gen AI applications across any cloud and drive better outcomes for AI journeys.

With Instaclustr you can focus on building differentiated Gen AI applications instead of infrastructure challenges.

NetApp
instaclustr.com

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