Acceldata Tech Stack

Agentic data management platform for enterprise data observability and reliability

Software Development Campbell, California 201–500 employees Privately Held

Acceldata builds an agentic data management platform centered on data observability and reliability for enterprises processing petabyte-scale datasets. The tech stack reveals a heavy Apache ecosystem focus (Kafka, Spark, Flink, NiFi, Pinot, Hadoop) paired with modern data warehouses (Snowflake, Databricks) and Kubernetes orchestration—a mature, production-grade architecture. Engineering-heavy hiring (19 roles) with senior/staff concentration signals active scaling of complex distributed systems work, while open-source project contributions and internal migrations indicate a company investing in foundational infrastructure rather than surface features.

Tech Stack 95 technologies

Core StackMaven Jenkins GitHub Python GitHub Actions Java Cypress Selenium Playwright Hadoop Kafka Apache Spark Apache Flink Scala Go Kubernetes Snowflake Databricks Salesforce Kotlin MongoDB Elasticsearch Trino Apache NiFi MLflow Gradle Bash Git Hive Apache Pinot+61 more

AdoptingBlender Cinema 4D

What Acceldata Is Building

◆Challenges

Complex performance bottlenecks across distributed systems
Scaling and performance issues
Improving system reliability
Petabyte-scale data management
Cost overruns
Optimizing for cost, latency, and throughput
Preventing failures
Controlling costs
Migrating to odp hadoop environment
Hard-to-reach talent

▲Active Projects

Acceldata open data platform (odp)
Odp hadoop environment migration support
Query optimization
Apache project contributions
Data platform built on apache open-source technologies
Post-win technical account strategy
Performance tuning of distributed data systems
Poc implementation
Technical presentations and product demonstrations
Technical documentation development

Hiring Activity

Steady35 roles · 15 in 30d

Department

Engineering

Sales

Support

Product

Data

Marketing

Seniority

Senior

Staff

Mid

Junior

Lead

Principal

Manager

Company intelligence

Find more companies like Acceldata by tech stack, pain points and active projects

Get started free

About Acceldata

Acceldata develops a data management platform designed to help enterprises build reliable, trustworthy data products at scale. The company's offering centers on data observability, quality monitoring, and pipeline management, with a newer agentic AI layer (xLake Reasoning Engine) layered on top. Customers operate in hyperscale environments—financial services, retail, telecom, digital payments—where data pipeline failures cascade across business-critical systems. Active projects span Hadoop environment migrations, distributed system performance tuning, and technical account strategy post-sale, suggesting a mix of product development and hands-on customer success delivery. The company is distributed across the US, Canada, UK, and India.

HeadquartersCampbell, California

Company Size201–500 employees

Hiring MarketsIndia, United States, Canada, United Kingdom

Frequently Asked Questions

What is Acceldata's tech stack?

Acceldata uses Apache Kafka, Spark, Flink, NiFi, and Pinot for data pipelines; Hadoop and Hive for distributed storage; Snowflake and Databricks for warehousing; Kubernetes for orchestration; and Elasticsearch for search. Development languages include Java, Python, Go, and Scala.

Where is Acceldata headquartered?

Acceldata is headquartered in Campbell, California. The company also hires across India, United States, Canada, and the United Kingdom.