Every claim in this report traces back to one of 46 evidence records below. Each was captured passively during recon, hashed at capture for chain-of-custody, and graded per the Admiralty Scale (NATO STANAG 2511). Click any ev_xxx chip elsewhere in the report to jump straight to its source record.
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offers greater statistical power, while data with higher complexity may lead to a higher false discovery rate.
Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science.
A data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. Data warehouses are central repositories of data integrated from disparate sources.
A data lake is a system or repository of data stored in its natural, raw format, usually object blobs or files. A data lake can include structured data from relational databases, semi-structured data, unstructured data, and binary data. A data lake can be established on premises or in the cloud.
Cloud computing is defined by the International Organization for Standardization (ISO) as 'a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on demand'.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information... reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics.
Apache Hadoop is a collection of open-source software utilities for reliable, scalable, distributed computing. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab starting in 2009, in 2013, the Spark codebase was donated to the Apache Software Foundation, which has maintained it since.
Apache Iceberg is a high-performance open-source format for large analytic tables... Iceberg was originally developed at Netflix in 2017... donated to the Apache Software Foundation in 2018. It graduated to a top-level Apache project in May 2020. Vendors currently supporting Apache Iceberg tables include Buster, CelerData, Cloudera, Crunchy Data, Dremio, IBM watsonx.data, IOMETE, Oracle, Snowflake, Starburst, Tabular, AWS, Google Cloud, and Databricks.
A vector database, vector store or vector search engine is a database that stores and retrieves embeddings of data in vector space. Use-cases for vector databases include similarity search, semantic search, multi-modal search, recommendations engines, object detection, and retrieval-augmented generation (RAG).
Snowflake Inc. is an American cloud-based artificial intelligence (AI) data platform company founded in San Mateo, California, and headquartered in Menlo Park. It operates a platform that supports data analysis and simultaneous access to data sets with minimal latency. It operates on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark at the University of California, Berkeley. It offers a cloud-based platform for data analytics and artificial intelligence. It operates natively across Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Palantir Technologies Inc. is an American publicly traded company that develops data integration and analytics software. Palantir is headquartered in Miami, Florida, and was founded in 2003 by Peter Thiel, Stephen Cohen, Joe Lonsdale, Alex Karp, and Nathan Gettings.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis.
Microsoft Azure, sometimes stylized Azure, and formerly Windows Azure, is the cloud computing platform developed by Microsoft. It offers management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
Google Cloud Platform provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools.
SourceGLEIF — SNOWFLAKE INC. (LEI 254900CJNSY1K7T53Z16)·Captured
Legal name SNOWFLAKE INC.; jurisdiction US-DE; entity creation date 2012-07-23; HQ 106 East Babcock Street Suite 3A, Bozeman, MT 59715; status ACTIVE; fully corroborated; managing LOU 5493001KJTIIGC8Y1R12.
SourceGLEIF — DATABRICKS, INC. (LEI 984500FEDAC7FBD96273)·Captured
Legal name DATABRICKS, INC.; jurisdiction US-DE; entity creation date 2013-05-31; HQ 160 Spear Street 15th Floor, San Francisco, CA 94105; status ACTIVE; fully corroborated.
SourceGLEIF — PALANTIR TECHNOLOGIES INC. (LEI 549300UVN46B3BBDHO85)·Captured
Legal name PALANTIR TECHNOLOGIES INC.; jurisdiction US-DE; entity creation date 2003-05-06; HQ 1200 17th Street Floor 15, Denver, CO 80202; status ACTIVE; CHANGE_HQ_ADDRESS event recorded 2023-07-17.
SourceGLEIF — MICROSOFT CORPORATION (LEI INR2EJN1ERAN0W5ZP974)·Captured
Legal name MICROSOFT CORPORATION; jurisdiction US-WA; entity creation date 1993-09-22; HQ One Microsoft Way, Redmond, WA 98052-8300; status ACTIVE; BIC MSFTUS66XXX.
SourceGLEIF — INTERNATIONAL BUSINESS MACHINES CORPORATION (LEI VGRQXHF3J8VDLUA7XE92)·Captured
Legal name INTERNATIONAL BUSINESS MACHINES CORPORATION; jurisdiction US-NY; entity creation date 1911-06-16; HQ One North Castle Drive, Armonk, NY 10504; BIC IBMXUS33XXX; status ACTIVE.
SourceGLEIF — AMAZON.COM, INC. (LEI ZXTILKJKG63JELOEG630)·Captured
Legal name AMAZON.COM, INC.; jurisdiction US-DE; entity creation date 1996-05-28; HQ 410 Terry Ave North, Seattle, WA 98109; status ACTIVE; fully corroborated.
SourceGLEIF — SALESFORCE, INC. (LEI RCGZFPDMRW58VJ54VR07)·Captured
Legal name SALESFORCE, INC. (previous: SALESFORCE.COM, INC.); jurisdiction US-DE; entity creation date 1999-02-03; HQ Salesforce Tower 415 Mission St., San Francisco, CA 94105; BIC SFDCUS6SXXX; status ACTIVE.
SourceStartup Fortune — Databricks is closing in on Snowflake and the numbers make that case plainly·Captured
Databricks has surpassed $5.4 billion in annualized revenue growing at 65% year over year, with its Snowflake-competing data warehousing product more than (continues).
SourceDigital Today — Microsoft Fabric aims to be data platform for AI agents, targeting Snowflake and Databricks·Captured
Microsoft unveiled three new products at its Build 2026 conference to strengthen data infrastructure for AI agents. Fabric CTO Amir Netz said enterprise AI (continues).
SourceThe Register — SAP dives deeper into Iceberg with Dremio acquisition·Captured
SAP previously leaned on Databricks for integration. Published Tue 05 May 2026. Coverage of SAP's announced acquisition of Dremio (Iceberg-native lakehouse).
SourceBlocks & Files — SAP bags Dremio and Prior Labs in enterprise AI data push·Captured
SAP plans to buy agentic lakehouse business Dremio and tabular data AI model developer Prior Labs. The enterprise software giant wants to enhance its fully (continues).
SourceCustomerThink — SAP's Double Acquisition: How Dremio and Prior Labs Complete a Data Strategy·Captured
On May 4, 2026, SAP announced two acquisitions in the same breath: Dremio, an Apache Iceberg-native agentic data lakehouse, and Prior Labs, a pioneer of (continues).
SourceTechnavio — Data Analytics Market Growth Analysis - Size and Forecast 2026-2030·Captured
The data analytics market size is valued to increase by USD 375.6 billion, at a CAGR of 16.4% from 2025 to 2030. Increasing adoption of data-driven decision making cited as the primary growth driver.
SourceStatista — Data management and analytics spending worldwide 2023-2030·Captured
The global spending on data management and analytics was forecast to grow at a compound annual growth rate (CAGR) over 2023-2030 (exact CAGR redacted in Statista snippet; magnitude in the hundreds of billions USD).
SourceMarket Data Forecast — Big Data Market Size, Share, Trends & Analysis, 2033·Captured
Global Big Data Market Size, Share, Trends & Growth Forecast Report By Type (Hardware, Software and Services), Deployment Mode (On-Premises and Cloud).