Acceldata Tech Stack

Agentic data management platform for enterprise data observability and AI readiness

Software Development Campbell, California 201–500 employees Privately Held

Acceldata built the original enterprise data observability platform and now operates an agentic data management layer on top of that foundation. The stack reveals a company deeply embedded in big-data infrastructure (Hadoop, Spark, Flink, Kafka) across AWS, Azure, and GCP, with active sales tooling (Outreach, Gong, Salesforce) and QA automation. Pain points cluster around Hadoop migrations, petabyte-scale performance, and distributed-systems monitoring—matching their product focus on data reliability and governance at scale.

Tech Stack 92 technologies

Core StackMaven Jenkins Python Java Salesforce Hadoop Kubernetes AWS Scala Amazon EKS Ansible Puppet Gong Cypress Selenium Playwright Kafka Apache Spark Apache Flink Gradle Bash Azure GCP Azure Kubernetes Service Apache LinkedIn Recruiter Outreach Cognism LinkedIn Sales Navigator Hive+58 more

AdoptingApache

What Acceldata Is Building

◆Challenges

Scaling and performance issues
Migrating to odp hadoop environment
Complex performance bottlenecks across distributed systems
Monitoring data reliability
Optimizing hadoop and spark performance
Data governance challenges
Scaling to petabytes
Distributed systems challenges at scale
Avoiding vendor lock-in
Controlling costs

▲Active Projects

Acceldata open data platform (odp)
Hadoop data lake cluster implementation
Odp hadoop environment migration support
Poc and onboarding deployments of acceldata hadoop distribution
Reference architecture development
Customer events and webinars
Customer reference program
Customer advocacy strategy
Odp hadoop migrations
Demo application creation

Hiring Activity

Accelerating50 roles · 25 in 30d

Department

Engineering

Sales

Support

Marketing

Product

Ops

Seniority

Senior

Staff

Mid

Intern

Junior

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Manager

Principal

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About Acceldata

Acceldata provides data observability and agentic data management solutions for enterprises managing large-scale data infrastructure. The company serves global organizations across financial services, e-commerce, telecom, and consumer goods. Their platform addresses three core problem areas: data pipeline observability, data quality assurance, and governance automation for distributed systems. The engineering-dominant hiring mix (48% of open roles) and concentration of projects around Hadoop migrations and reference architectures indicate a customer base actively transitioning to modern data lakes and seeking operational stability at petabyte scale.

HeadquartersCampbell, California

Company Size201–500 employees

Hiring MarketsIndia, United States, Canada, United Kingdom

Frequently Asked Questions

What tech stack does Acceldata use?

Core: Java, Python, Scala, Maven, Gradle, Jenkins. Infrastructure: Kubernetes (EKS, AKS), Hadoop, Apache Spark, Kafka, Flink. Cloud: AWS, Azure, GCP. Sales: Salesforce, Outreach, Gong. QA: Cypress, Selenium, Playwright.

What is Acceldata working on?

Open Data Platform (ODP) for Hadoop environments, migration support, reference architectures, customer onboarding, and advocacy programs. Internal focus on Hadoop performance optimization and scaling challenges.

How this profile is built

Acceldata's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.