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The MOVE Fire

This is a personal recollection on the Move fire on May 13, 1985 Philadelphia police fired thousands of rounds at the MOVE house, city officials approved dropping an explosive device on the roof, the resulting fire was allowed to burn, 11 people—including five children—died, and 61 homes were destroyed. Philadelphia City Council later called it a “brutal attack carried out by the City of Philadelphia on its own citizens” and acknowledged that no individual faced criminal consequences for the bombing. One timeline correction worth preserving for the BHP record: the major previous MOVE-police confrontation was August 8, 1978, about seven years before the bombing, not a year or two earlier. Officer James Ramp was killed, other police and firefighters were wounded, nine MOVE members were later convicted, and television cameras recorded police beating Delbert Africa during his arrest. The 1985 MOVE Commission later specifically criticized city planners for failing to adequately use lessons from that 1978 confrontation. And that actually strengthens the point you’re making: 1985 did not happen without precedent or institutional memory. There had already been a deadly confrontation with MOVE, years of conflict, negotiations and police involvement before Osage Avenue.

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In August 1908, a white mob attacked Springfield, Illinois’s Black community, destroying homes and businesses and lynching two Black men. National outrage over the violence helped spur the movement that created the NAACP the following year.

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Wikipedia

Databricks

Databricks, Inc.
TypePrivate
IndustryComputer software
Artificial intelligence
Founded2013; 13 years ago (2013)[1]
Founders
Headquarters
San Francisco, California
,
United States
Products
RevenueIncrease $6.9 billion (80% YoY) (ARR, Jun 2026)[2]
Free cash flow positive (2025)
Number of employees
10,000 (2026)[3]
Websitedatabricks.com

Databricks, Inc. is an American data software company headquartered in San Francisco, California.[4] It was founded in 2013.[1][5] It offers cloud computing-based data analytics,[6] and can run on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Databricks developed the 'data lakehouse' architecture, which combines elements of data warehouses and data lakes for managing structured and unstructured data.[7] The company develops Delta Lake, an open-source project that adds ACID transaction support to data lakes.[8]

History

[edit]

2013–2021

[edit]

Databricks grew out of the AMPLab project at University of California, Berkeley, that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala.[9] The company was founded by Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, and Reynold Xin.[10]

Microsoft Azure integrated Databricks as Azure Databricks in 2017.[11]

In February 2021, together with Google Cloud, Databricks provided integration with the Google Kubernetes Engine and Google's BigQuery platform.[12] In February 2021, the company reported having more than 5,000 customers.[13]

2022–present

[edit]

Databricks announced the Data Intelligence Platform, integrating its lakehouse architecture with generative AI capabilities acquired from MosaicML.[14]

The firm was valued at $62 billion in December 2024,[15] following a $10 billion funding round.[16]

In early March 2025, Databricks announced it would invest $1 billion in San Francisco's downtown.[17]

In June 2025, Databricks entered into a four-year partnership with Alphabet to incorporate Gemini into the Databricks platform.[18] The company launched Agent Bricks,[19] a suite of tools to help organizations build AI agents, and Lakebase, an OLTP database.[20]

In April 2025, Databricks was featured in the Forbes AI 50 list.[21]

In December 2025, Databricks raised more than $4 billion in a Series L funding round at a $134 billion valuation. This was Databricks' third major fundraise in less than a year. "It comes as the company focuses on building products that address the needs of the AI revolution: a database for AI agents, an AI agent platform, and apps that let companies build and deploy data and AI applications."[22]

Partnerships and acquisitions

[edit]

Corporate partnerships

[edit]

In December 2024, Databricks along with Wiz and Workday has decided to run their products on top of AWS via the new button called "Buy with AWS".[23]

In March 2025, Databricks entered a five-year partnership with Anthropic, incorporating Anthropic's AI products into its platform in a deal valued at $100 million.[24][25]

In June 2025, Databricks announced a partnership with Google Cloud to integrate its platform with Google Cloud services.[26] In July 2026, Databricks and Microsoft announced an expanded mutual integration of each other's products and services extending into the 2030s.[27] As part of the partnership, Databricks employed Azure, Microsoft's cloud computing platform and Microsoft's Cobalt processors, while Microsoft integrated Databrick's data and AI technologies, including Databricks's chatbot Genie, into its product suite, like Microsoft 365, Teams and Copilot.[28]

In September 2025, Databricks entered into a partnership with OpenAI to incorporate the company's LLMs into the Databricks platform in a deal valued at $100 million.[29]

Acquisitions

[edit]

In June 2020, Databricks bought Redash, an open-source tool for data visualization and building of interactive dashboards.[30] In 2021, it bought German no-code company 8080 Labs whose product, bamboolib, allowed data exploration without any coding.[31] In May 2023, Databricks bought data security group Okera, extending Databricks data governance capabilities.[32] In June, it bought the open-source generative AI startup MosaicML for $1.4 billion.[33][34] In October, Databricks bought data replication startup Arcion for $100 million.[35] In 2024, Databricks bought data-management startup Tabular for over $1 billion.[36]

In March 2023, in response to the popularity of OpenAI's ChatGPT, the company introduced an open-source language model, named Dolly after Dolly the sheep, that developers could use to create custom chatbots. Dolly has only 6 billion parameters.[37] Databricks claimed that Dolly had "ChatGPT-like instruction following ability", but has not released formal benchmark tests comparing it to ChatGPT.[38][39][40]

Databricks reported $1.6 billion in revenue for the 2023 fiscal year.[41]

In 2025, Databricks acquired a serverless database startup, Neon,[42] for around $1 billion.[43] In June 2026, Databricks announced it had agreed to acquire Panther Labs, an AI security operations center (SOC) platform, in order to use Panther's technology to support development for the security lakehouse capabilities of Lakewatch.[44][45][46][47] In August 2026, Databricks acquired Electric, a data synchronization firm, to extend its PostgreSQL capabilities and support the expansion of its Lakebase infrastructure.[48]

Finance

[edit]

Funding

[edit]

In September 2013, Databricks announced it raised $13.9 million from Andreessen Horowitz and said it aimed to offer an alternative to Google's MapReduce system.[49][50] Microsoft was a noted investor of Databricks in 2019, participating in the company's Series E at an unspecified amount.[51][52] The company has raised $1.9 billion in funding, including a $1 billion Series G led by Franklin Templeton at a $28 billion post-money valuation in February 2021. Other investors include Amazon Web Services, CapitalG (a growth equity firm under Alphabet Inc.) and Salesforce Ventures.[13] In August 2021, Databricks finished its eighth round of funding by raising $1.6 billion and valuing the company at $38 billion.[53] In December 2024, Databricks announced a $10 billion financing at a valuation of $62 billion.[15] In August 2025, Databricks announced a $1 billion Series K funding round, raising their valuation to over $100 billion.[54] Just 3 months later, in December 2025, Databricks completed a $4 billion Series L funding round at a new valuation of $134 billion.[55]

In July 2026, Coatue Management led a funding round for a $3 billion investment in Databricks, making the company's overall valuation $188 billion.[56] The funding round closed at $5 billion in August 2026, with a $190 billion post-money valuation and $7 billion revenue run rate.[57] In addition to Coatue Management, Blackstone Inc., MGX, T. Rowe Price and Sixth Street Growth were investors in the round.[58]

Funding rounds
Series Date Amount (million $) Lead investors
A 2013 13.9[49] Andreessen Horowitz
B 2014 33[59] New Enterprise Associates
C 2016 60[60] New Enterprise Associates
D 2017 140[61] Andreessen Horowitz
E Feb. 2019 250[62] Andreessen Horowitz
F Oct. 2019 400[63] Andreessen Horowitz
G Jan. 2021 1,000[64] Franklin Templeton Investments
H Aug. 2021 1,600[65] Morgan Stanley
I Sep. 2023 500[66] Capital One Ventures, Nvidia
J Dec. 2024 10,000[67] Thrive Capital
K Aug. 2025 1,000[54] Thrive Capital, Insight Partners
L Dec. 2025 4,000[68] Insight Partners, Fidelity, J.P. Morgan

Revenue

[edit]

As of February 9, 2026, Databricks had a $5.4 billion revenue run rate, growing > 65% year over year.[69] Databricks also delivered positive free cash flow over the 12 months prior.[70]

As of June 16, 2026, CNBC reported that Databricks' annualized revenue reached $6.9 billion, representing an 80% year-over-year growth.[2]

Products

[edit]

Databricks develops a cloud data platform referred to as a 'lakehouse', combining features of data warehouses and data lakes.[71] Unlike traditional proprietary data warehouses, the Databricks architecture processes data while allowing organizations to retain the underlying files in their own cloud storage using open-source formats like Apache Iceberg and Delta Lake.[72] Industry analysts note this separation of compute and storage mitigates vendor lock-in and avoids proprietary data egress fees.[73][74]

The platform is built on the open-source Apache Spark framework, enabling analytical queries on semi-structured data without requiring a traditional database schema.[75] While the platform's classic architecture provided robust distributed computing capabilities, it inherently required data teams to manually configure, size, and manage the underlying cluster infrastructure. To eliminate this operational complexity, Databricks introduced a serverless architecture across its analytics and AI workloads.[76] This serverless tier fully abstracts the cloud environment, automatically provisioning, scaling, and terminating compute resources without requiring manual tuning or cluster management.[77]

In October 2022, Lakehouse received FedRAMP authorization for use with the U.S. federal government and contractors.[78]

The company has also created Delta Lake, MLflow and Koalas, open source projects that span data engineering, data science and machine learning.[79][80]

In June 2020, Databricks launched Delta Engine, a fast query engine for Delta Lake,[81] compatible with Apache Spark and MLflow.[82]

In November 2020, Databricks introduced Databricks SQL (previously called SQL Analytics) for running business intelligence and analytics reporting on top of data lakes. Analysts can query data sets with standard SQL or use connectors to integrate with business intelligence tools like Holistics, Tableau, Qlik, Sigma, Looker, and ThoughtSpot.[83]

Databricks offers a platform for other workloads, including machine learning, data storage and processing, streaming analytics, and business intelligence.[84]

In early 2024, Databricks released the Mosaic set of tools for customizing, fine-tuning and building AI systems. It includes AI Vector Search for building RAG models; AI Model Serving, a service for deploying, governing, querying and monitoring models fine-tuned or pre-deployed by Databricks; and AI Pretraining, a platform for enterprises to create their own LLMs.[85]

In March 2024, Databricks released its DBRX foundation model under the Databricks Open Model License.[86] It has a mixture-of-experts architecture and is built on the MegaBlocks open-source project.[87] DBRX cost $10 million to create. According to the company, DBRX performed competitively on industry benchmarks against other open-source models available at the time.[88] It beat other models like Llama 2 at solving logic puzzles and answering general knowledge questions, among other tasks. While it has 136 billion parameters, it only uses 36 billion, on average, to generate outputs.[89] According to Databricks, DBRX can be used as a foundation for companies to build customized AI models using their proprietary data.[90][non-primary source needed]

In June 2024, Databricks open sourced Unity Catalog, a unified governance offering, under the Apache Spark 2.0 license.[91]

In addition to building the Databricks platform, the company has co-organized massive open online courses about Spark[92] and a conference for the Spark community called the Data + AI Summit,[93] formerly known as Spark Summit.[94][non-primary source needed]

At the 2025 Data + AI Summit, Databricks introduced Agent Bricks, a development platform for AI agents,[95] Lakebase, a transactional database,[96] and Databricks One, a no-code AI business intelligence platform.[97] The company also disclosed its Databricks SQL product would grow to a $1 billion revenue run rate.[98]

In March 2026, Databricks released Genie Code, an AI agent for data science and engineering tasks.[99] That same month, the company announced Lakewatch, an AI-powered agentic security platform to automate threat detection and response.[100]

In June 2026, Databricks released Omnigent, which it called an open source “meta-harness” for AI agents, like Anthropic's Claude Code and OpenAI's Codex, which are classified as harnesses, or the wrapper that turns AI models into agents.[101] Omnigent is a common interface layer above command-line agents that allows users to build, control and collaborate on AI agents across models.[101] During the company's "Data + AI Summit" conference, also in June 2026, Databricks announced a real-time analytics engine called Lakehouse//RT; an architecture to collapse online transaction processing and online analytical processing on a single copy of data, called LTAP (which is an initialism for "lake transactional-analytics process"); and Genie One, an agentic "co-worker."[102] At the same conference, the company also released Genie ZeroOps, which automates monitoring, investigation and remediation of issues across data and AI workloads.[103]

References

[edit]
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Wikipedia

Databricks

Databricks, Inc. is an American data software company headquartered in San Francisco, California. It was founded in 2013. It offers cloud computing-based data analytics, and can run on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Databricks developed the 'data lakehouse' architecture, which combines elements of data warehouses and data lakes for managing structured and unstructured data. The company develops Delta Lake, an open-source project that adds ACID transaction support to data lakes.

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Wikipedia

San Francisco

San Francisco, officially the City and County of San Francisco, is the 17th-largest city and second-densest major city in the United States, with a 2025 population of 826,079. It is the fourth-most populous city in California and the second most-populous in the Bay Area. Some 4.6 million residents live in the city's metropolitan statistical area. Around 9.2 million live in the San Jose–San Francisco–Oakland combined statistical area, the fifth-largest in the United States. San Francisco is a global center for technology and finance, and is well-known for its affluence, eclectic architecture, and mild climate. Prior to European settlement, San Francisco was inhabited by the Yelamu Ohlone. On June 29, 1776, settlers from New Spain established the Presidio of San Francisco at the Golden Gate, and the Mission San Francisco de Asís a few miles away, both named for Francis of Assisi. The California gold rush of 1849 brought rapid growth, making it the largest city on the West Coast at the time. In 1856, San Francisco became a consolidated city-county. After three-quarters of the city was destroyed by the 1906 earthquake and fire, it was quickly rebuilt, hosting the Panama–Pacific International Exposition nine years later. In World War II, it was a major port of embarkation for naval service members shipping out to the Pacific theater. After the war, the confluence of returning servicemen, significant immigration, liberalizing attitudes, the rise of the beatnik and hippie countercultures, the sexual revolution, opposition to U.S. involvement in the Vietnam War, and other factors led to the Summer of Love and the gay rights movement, cementing San Francisco as a center of liberal activism. In 2024, San Francisco had a GDP of $268 billion and a GDP per capita of $324,000, ranking first by per capita income and sixth by aggregate income among U.S. cities with a population of 300,000 or more. The city's productivity is spurred by its leading universities, high-tech, healthcare, finance, insurance, real estate, and professional services sectors. The city is home to numerous companies—many in the technology sector—including Salesforce, Uber, Airbnb, Levi's, Gap, OpenAI, Chime, Anthropic, Databricks, Dropbox, and Lyft. In 2022, San Francisco had more than 1.7 million international visitors and approximately 20 million domestic visitors. It is known for its steep rolling hills, varied neighborhoods (including Chinatown and the Mission District); and landmarks including the Golden Gate Bridge, cable cars, and Alcatraz. The city is home to educational and cultural institutions such as the University of California, San Francisco, the University of San Francisco, San Francisco State University, the San Francisco Conservatory of Music, the Legion of Honor, the de Young Museum, the San Francisco Museum of Modern Art, the San Francisco Symphony, the San Francisco Ballet, the San Francisco Opera, the SFJAZZ Center, and the California Academy of Sciences. Two major league sports teams, the San Francisco Giants and the Golden State Warriors, play their home games within San Francisco. San Francisco International Airport (SFO) is one of the world's busiest airports, while a light rail and bus network, in tandem with the BART and Caltrain systems, connects nearly every part of San Francisco with the wider region.

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Wikipedia

California Memorial Stadium

California Memorial Stadium (also known simply and commonly as Memorial Stadium or CMS) is an outdoor college football stadium located on the campus of the University of California, Berkeley. It is the home field for the California Golden Bears of the Atlantic Coast Conference. Opened in 1923, the venue currently seats around 63,000 for football; its playing field runs northwest to southeast at an approximate elevation of 410 feet (125 m) above sea level. It has been named one of the top college football stadiums by various publications, and it was listed on the U.S. National Register of Historic Places on November 27, 2006. In September 2026, Cal Athletics announced a multi-year $22.8 million naming rights deal with Databricks, under which the stadium will officially be known as the Databricks Field at California Memorial Stadium. Memorial Stadium was funded from public contributions, as a memorial to Californians who lost their lives in World War I (1917–18). The chair of the architectural committee was John Galen Howard, the university's chief architect, and his influence is evident in the stadium's neoclassical motif. In addition to its unique architecture, the stadium's position at the foot of the Berkeley Hills provides top row spectators with panoramic views of San Francisco Bay and west side viewers with views of the Berkeley Hills and Strawberry Canyon. This has earned it a reputation as one of the most scenic venues in college football. Traditionally, during all football games and especially during the Big Game against Stanford, the hill overlooking the eastern side of Memorial Stadium attracts spectators hoping to watch a game for free, earning the nickname "Tightwad Hill".

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Wikipedia

Ion Stoica

Ion Stoica (born 1964 or 1965) is a Romanian–American computer scientist specializing in distributed systems, cloud computing and computer networking. He is a professor of computer science at the University of California, Berkeley and co-director of AMPLab. He co-founded Conviva and Databricks with other original developers of Apache Spark and Anyscale with other original developers of Ray. In 2022, Forbes ranked him and Matei Zaharia as the 3rd-richest Romanians with a net worth of US$1.6 billion.

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TOPIC OF THE DAY

Greenwood / Black Wall Street

Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.

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TRIVIA QUESTION OF THE DAY

What prosperous Tulsa district became widely known as “Black Wall Street”?

The Greenwood District.