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Spark
What Does Spark Do?
Apache Spark is a powerful open-source unified analytics engine for large-scale data processing. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab in 2009, Spark was donated to the Apache Software Foundation (ASF) in 2013, under whose stewardship it continues to thrive. It is renowned for its speed and ease of use, supporting a wide range of workloads including batch processing, interactive queries (SQL), real-time stream processing, machine learning (MLlib), and graph processing (GraphX). Apache Spark is driven by a global community of developers and is one of the most active projects in the ASF.
Where Is Spark's Headquarters?
HQ Function
The Apache Software Foundation (ASF) provides crucial organizational, legal, and financial support for Apache Spark and over 350 other open-source software projects. It ensures these projects, including Spark, remain community-driven, vendor-neutral, and freely available under the Apache License 2.0.
Notable Features:
The ASF's 'headquarters' is primarily an administrative and legal address. The Foundation itself operates virtually, without a central physical office building. Its true 'office' is its global, distributed community of committers, members, and project contributors.
Work Culture:
The ASF fosters a 'Community Over Code' philosophy, emphasizing a collaborative, meritocratic, and consensus-based culture. Transparency in governance and development is paramount, with decisions made by the project communities.
HQ Significance:
The ASF's stewardship is fundamental for Apache Spark's governance, intellectual property management, brand protection, and the long-term sustainability and neutrality of the project as a leading open-source technology.
Values Reflected in HQ: The ASF's operations reflect values of openness, transparency, community-led development, meritocracy, consensus decision-making, and the provision of software for the public good, all of which are embodied in the Apache Spark project.
Location:
Apache Spark has a profound global presence, defined by its extensive and active worldwide community of developers, contributors, and users, rather than physical offices. It is deployed by organizations of all sizes across diverse industries in nearly every country for big data processing, machine learning, stream processing, and advanced analytics. Its development is a global collaborative effort, with significant contributions from individuals and companies in North America, Europe, Asia, and other regions. This international footprint is further amplified by numerous Spark-related conferences (like the Data + AI Summit), local meetups, and vibrant online communities that connect users and developers across the globe.
Street Address:
1000 N West Street, Suite 1200
City:
Wilmington
State/Province:
Delaware
Country:
USA
Where Else Does Spark Operate Around the World?
Global / Distributed
Address: Not Applicable. Apache Spark is an open-source project developed and maintained by a distributed global community of individual contributors and organizations. It does not have physical branch offices.
To foster a worldwide, inclusive community for the development, innovation, and widespread adoption of Apache Spark. Regional presence is expressed through local meetup groups, community-organized events, and conferences, rather than physical offices.
Buying Intent Signals for Spark
Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Who's Leading Spark? Meet the Executive Team
As of April 2025, Spark' leadership includes:
Who's Investing in Spark?
Spark has been backed by several prominent investors over the years, including:
What Leadership Changes Has Spark Seen Recently?
Apache Spark, as an open-source project under The Apache Software Foundation (ASF), does not have 'executives' in the traditional corporate sense. Project leadership is vested in its Project Management Committee (PMC). Changes to PMC membership (e.g., new members being voted in, existing members becoming emeritus) are based on sustained contributions, merit, and community consensus, following ASF governance processes. These are not 'hires' or 'exits' but rather an evolution of project stewardship.
What Technology (Tech Stack) Is Used bySpark?
Discover the tools Spark uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.
Spark Email Formats and Examples
Communication within the Apache Spark project and its global community primarily takes place through official public mailing lists hosted by The Apache Software Foundation (e.g., for developers, users, committers). These lists are the central channels for discussions, questions, announcements, and decision-making. There isn't a standardized 'company' email format for individual contributors as one would find in a commercial enterprise; communication is list-based or via ASF email addresses for official roles.
[list-name]@spark.apache.org (e.g., dev@spark.apache.org, user@spark.apache.org, issues@spark.apache.org)
Format
user@spark.apache.org
Example
90%
Success rate
What's the Latest News About Spark?
spark.apache.org • February 9, 2024
Apache Spark 3.5.1 Maintenance Release Announced
Apache Spark 3.5.1, a maintenance release focusing on stability fixes, was made available. This version includes improvements in PySpark's Kubernetes support, enhanced error handling, and Python type hints, building upon the features of Spark 3.5.0. Users of Spark 3.5.0 are encouraged to upgrade....more
spark.apache.org • October 13, 2023
Apache Spark 4.0.0 Preview 1 Released
The Apache Spark community announced the first preview release of Spark 4.0.0. This major upcoming version is set to introduce significant enhancements, including Python type-hint enforcement in PySpark, improved Structured Streaming, and advancements in Spark Connect, among other features....more
Databricks Blog / Data + AI Summit • June 26, 2023
English SDK for Apache Spark Announced at Data + AI Summit
Databricks announced the private preview of an English SDK for Apache Spark, aiming to make Spark more accessible by allowing users to write Spark applications using natural language instructions, which are then translated into PySpark code. This highlights ongoing efforts to simplify big data development....more
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