Developer docs
API playgroundTry for free, no card

Search company profiles

Apache Iceberg

Full company profile

uuid02lfhhd

Namestring
Apache Iceberg
Legal namestring
The Apache Software Foundation
Websiteurl
apache.org
Company typeenum
Private
Founded yearint
1999
Descriptiontext

Apache Iceberg is an open-source table format specification designed to manage large analytic datasets across multiple query engines, governed by the Apache Software Foundation (ASF) under its community-led "Apache Way" development model. Technically, Iceberg provides ACID transaction support, time travel queries, partition evolution, and schema evolution for data stored in data lakes, allowing engines such as Spark, Flink, Trino, Hive, Dremio, and cloud platforms like Snowflake and Databricks to interoperate against a single, specification-defined table layout. The project is one of more than 290 ASF-hosted open-source projects and benefits from 10,000+ committers and 1,190+ ASF members globally, with development conducted on public mailing lists and source repositories.

Iceberg itself generates no direct revenue: the software is distributed free of charge under Apache License 2.0 via ASF download pages, mirrors, and source repositories, with no licensing fees, subscriptions, or paid tiers. The hosting entity, the Apache Software Foundation, is a Delaware-incorporated 501(c)(3) nonprofit funded by individual donations and Platinum/Gold/Silver corporate sponsorships from technology companies that rely on the open-source ecosystem; ASF revenue figures are not publicly disclosed. Customer segments are horizontal rather than commercial: data engineers, enterprise data platform teams, and open-source developers use Iceberg to build data lakehouse implementations, big-data analytics, and evolving schema environments. Go-to-market is entirely community-driven — Iceberg Summit, ApacheCon/Community Over Code, mailing lists, ASF blog, and social channels — with no commercial sales motion.

Short descriptiontext

Apache Iceberg is an open-source table format specification, governed by the Apache Software Foundation, that provides ACID transactions, time travel, and schema and partition evolution for large analytic datasets across multiple query engines and data lakehouse platforms, distributed free of charge under Apache License 2.0.

Operating statusenum
Operating
Ownership categoryenum
akta.pro rankint
Markets served

Serves global market

Keyword5 values
open table format, data lakehouse, ACID transactions, schema evolution, big data analytics
Industry3 codes
1Lakehouse Platforms
CodeHDAEABABPrimaryYes
2Data Lake Platforms
CodeHDAEABACPrimaryNo
3Query Engines & SQL Analytics Layers for Warehouses/Lakes
CodeHDAEABAIPrimaryNo
NAICS code1 code
  • Software Publishers513210
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Open Table Format for Data Lakes
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model2 records
1Donations and Charitable Contributions
TypeData Monetisation
Description

The Apache Software Foundation, which hosts Apache Iceberg, is a 501(c)(3) nonprofit charitable organization funded by individual and corporate donors. Donations support the foundation's operations, infrastructure, and community activities. Apache Iceberg itself is distributed free of charge.

donate.apache.org
2Sponsorship Revenue
TypeLicensing Royalties
Description

Corporate sponsors support the ASF. The foundation maintains Platinum, Gold, and Silver sponsorship tiers. Sponsors include technology companies that benefit from Apache projects.

apache.org
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Infrastructure, Operations, Personnel, Others
Pricing details1 tier
1Free open-source software - no pricing tiers
ModelFreemiumBilling cadenceMonthly
Notes

Apache Iceberg is distributed free of charge under the Apache License 2.0. Users can download, use, modify, and redistribute the software without payment. The ASF does not sell software or provide commercial support.

apache.org
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Apache Iceberg is an open-source table format specification for managing large analytic datasets on data lakes. It provides ACID transactions, time travel queries, schema evolution, and partition evolution capabilities, and is distributed free of charge under the Apache License 2.0. The specification is integrated by multiple query engines and cloud data platforms for lakehouse-style analytics.

Differentiator
Functional benefit
Problem solved
Product and service1 record
1Apache Iceberg
CategoryOpen Table Format for Data Lakes
Description

An open-source table format specification for large analytic datasets, providing ACID transactions, time travel queries, schema evolution, and partition evolution for data lakes. Distributed free of charge under the Apache License 2.0 for use by data engineers, analytics platforms, and cloud data warehouse vendors.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Open table format originally created by Databricks that provides ACID transactions and schema enforcement on data lakes. Directly competes with Apache Iceberg for the same lakehouse table format slot across Spark, Databricks, and other query engines.

TypeDirect peer
Description

Apache project providing an open table format and data platform for incremental data processing on data lakes. A direct open-source competitor to Apache Iceberg, often compared feature-for-feature for upserts, incremental queries, and time travel.

TypeBroad incumbent
Description

Hyperscaler offering BigLake and BigQuery Omni with native Apache Iceberg support, and an ASF sponsor. Competes as a broad analytics platform while contributing to and extending the Iceberg specification.

TypeBroad incumbent
Description

Hyperscaler that has invested heavily in Iceberg-native services (S3 Tables, Athena, Glue Data Catalog) and is an ASF Platinum sponsor. Competes as an end-to-end cloud data platform while simultaneously deepening the Iceberg ecosystem.

TypeBroad incumbent
Description

Cloud data platform that has added first-class Apache Iceberg support (including Iceberg Tables and managed Iceberg Catalogs) and is a Platinum sponsor of ASF. Competes as a broader platform while increasingly positioning Iceberg as the open-table-format layer underneath.

TypeBroad incumbent
Description

Creator and primary commercial backer of Delta Lake and a leading lakehouse platform. Competes head-to-head with the broader Iceberg ecosystem by promoting its own table format and tightly integrating it with the Databricks Data Intelligence Platform.

TypeDirect peer
Description

Flagship Apache data processing engine that reads and writes Iceberg tables natively. Not a direct commercial competitor but a peer in the same data engineering ecosystem, where Iceberg increasingly defines the storage layer beneath Spark workloads.

TypeEmerging player
Description

Lakehouse platform built natively on Apache Iceberg, offering an open SQL query engine and semantic layer. More directly Iceberg-aligned than the hyperscalers but smaller in scale; competes for the same enterprise lakehouse workloads.

TypeDirect peer
Description

Apache stream-processing engine with native Apache Iceberg sink/source support. A peer in the real-time/lakehouse ecosystem whose tight integration with Iceberg helps position Iceberg as a table format for both batch and streaming workloads.

TypeEmerging player
Description

Commercial sponsor and major contributor to Trino, a distributed SQL engine with first-class Apache Iceberg integration. Competes for federated query and lakehouse analytics workloads and is deeply coupled to Iceberg's evolution.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Apache Iceberg

Open Table Format for Data Lakesapache.org

Apache Iceberg is an open-source table format specification, governed by the Apache Software Foundation, that provides ACID transactions, time travel, and schema and partition evolution for large analytic datasets across multiple query engines and data lakehouse platforms, distributed free of charge under Apache License 2.0.

What Apache Iceberg does

Apache Iceberg is an open-source table format specification designed to manage large analytic datasets across multiple query engines, governed by the Apache Software Foundation (ASF) under its community-led "Apache Way" development model. Technically, Iceberg provides ACID transaction support, time travel queries, partition evolution, and schema evolution for data stored in data lakes, allowing engines such as Spark, Flink, Trino, Hive, Dremio, and cloud platforms like Snowflake and Databricks to interoperate against a single, specification-defined table layout. The project is one of more than 290 ASF-hosted open-source projects and benefits from 10,000+ committers and 1,190+ ASF members globally, with development conducted on public mailing lists and source repositories.

Iceberg itself generates no direct revenue: the software is distributed free of charge under Apache License 2.0 via ASF download pages, mirrors, and source repositories, with no licensing fees, subscriptions, or paid tiers. The hosting entity, the Apache Software Foundation, is a Delaware-incorporated 501(c)(3) nonprofit funded by individual donations and Platinum/Gold/Silver corporate sponsorships from technology companies that rely on the open-source ecosystem; ASF revenue figures are not publicly disclosed. Customer segments are horizontal rather than commercial: data engineers, enterprise data platform teams, and open-source developers use Iceberg to build data lakehouse implementations, big-data analytics, and evolving schema environments. Go-to-market is entirely community-driven — Iceberg Summit, ApacheCon/Community Over Code, mailing lists, ASF blog, and social channels — with no commercial sales motion.

Apache Iceberg firmographics

Firmographics
Name
Apache Iceberg
Legal name
The Apache Software Foundation
Website
https://apache.org
Company type
Private
Founded year
1999
Operating status
Operating
Short description
Apache Iceberg is an open-source table format specification, governed by the Apache Software Foundation, that provides ACID transactions, time travel, and schema and partition evolution for large analytic datasets across multiple query engines and data lakehouse platforms, distributed free of charge under Apache License 2.0.
Ownership category
akta.pro rank

Apache Iceberg industry classification

Industry
Product category
Open Table Format for Data Lakes
NAICS
Software Publishers (513210)
SIC
Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Lakehouse Platforms (HDAEABAB)
akta.pro secondary industries
Data Lake Platforms (HDAEABAC), Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)

Keywords

  • Open table format
  • Data lakehouse
  • ACID transactions
  • Schema evolution
  • Big data analytics

Apache Iceberg business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Infrastructure, Operations, Personnel, Others

Revenue model

  1. Donations and Charitable Contributions: The Apache Software Foundation, which hosts Apache Iceberg, is a 501(c)(3) nonprofit charitable organization funded by individual and corporate donors. Donations support the foundation's operations, infrastructure, and community activities. Apache Iceberg itself is distributed free of charge.
  2. Sponsorship Revenue: Corporate sponsors support the ASF. The foundation maintains Platinum, Gold, and Silver sponsorship tiers. Sponsors include technology companies that benefit from Apache projects.

Pricing tiers

ModelBillingPrice
FreemiumMonthlyFree open-source software - no pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Apache Iceberg product offering

Product offering

Core offering

Apache Iceberg is an open-source table format specification for managing large analytic datasets on data lakes. It provides ACID transactions, time travel queries, schema evolution, and partition evolution capabilities, and is distributed free of charge under the Apache License 2.0. The specification is integrated by multiple query engines and cloud data platforms for lakehouse-style analytics.

Differentiator

Problem solved

Functional benefit

Products and services

  • Apache Iceberg An open-source table format specification for large analytic datasets, providing ACID transactions, time travel queries, schema evolution, and partition evolution for data lakes. Distributed free of charge under the Apache License 2.0 for use by data engineers, analytics platforms, and cloud data warehouse vendors.

Companies that use Apache Iceberg

Customer profile

Segments3 records

Ideal customer profiles2 records

Apache Iceberg technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Apache Iceberg partnerships and signals

Strategic signal

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Apache Iceberg competitors and assessment

Company assessment

Direct peers

  • Delta Lake: Open table format originally created by Databricks that provides ACID transactions and schema enforcement on data lakes. Directly competes with Apache Iceberg for the same lakehouse table format slot across Spark, Databricks, and other query engines.
  • Apache Hudi: Apache project providing an open table format and data platform for incremental data processing on data lakes. A direct open-source competitor to Apache Iceberg, often compared feature-for-feature for upserts, incremental queries, and time travel.
  • Apache Spark: Flagship Apache data processing engine that reads and writes Iceberg tables natively. Not a direct commercial competitor but a peer in the same data engineering ecosystem, where Iceberg increasingly defines the storage layer beneath Spark workloads.
  • Apache Flink: Apache stream-processing engine with native Apache Iceberg sink/source support. A peer in the real-time/lakehouse ecosystem whose tight integration with Iceberg helps position Iceberg as a table format for both batch and streaming workloads.

Broad incumbents

  • Google Cloud (BigLake / BigQuery): Hyperscaler offering BigLake and BigQuery Omni with native Apache Iceberg support, and an ASF sponsor. Competes as a broad analytics platform while contributing to and extending the Iceberg specification.
  • Amazon Web Services (S3 Tables / Athena / Glue): Hyperscaler that has invested heavily in Iceberg-native services (S3 Tables, Athena, Glue Data Catalog) and is an ASF Platinum sponsor. Competes as an end-to-end cloud data platform while simultaneously deepening the Iceberg ecosystem.
  • Snowflake: Cloud data platform that has added first-class Apache Iceberg support (including Iceberg Tables and managed Iceberg Catalogs) and is a Platinum sponsor of ASF. Competes as a broader platform while increasingly positioning Iceberg as the open-table-format layer underneath.
  • Databricks: Creator and primary commercial backer of Delta Lake and a leading lakehouse platform. Competes head-to-head with the broader Iceberg ecosystem by promoting its own table format and tightly integrating it with the Databricks Data Intelligence Platform.

Emerging players

  • Dremio: Lakehouse platform built natively on Apache Iceberg, offering an open SQL query engine and semantic layer. More directly Iceberg-aligned than the hyperscalers but smaller in scale; competes for the same enterprise lakehouse workloads.
  • Starburst (Trino): Commercial sponsor and major contributor to Trino, a distributed SQL engine with first-class Apache Iceberg integration. Competes for federated query and lakehouse analytics workloads and is deeply coupled to Iceberg's evolution.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

Apache Iceberg social profiles

Digital presence

Apache Iceberg financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Apache Iceberg leadership team

Management profile

Number of profiles

Apache Iceberg funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Apache Iceberg M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Apache Iceberg

What does Apache Iceberg do?

Apache Iceberg is an open-source table format specification for managing large analytic datasets on data lakes. It provides ACID transactions, time travel queries, schema evolution, and partition evolution capabilities, and is distributed free of charge under the Apache License 2.0. The specification is integrated by multiple query engines and cloud data platforms for lakehouse-style analytics.

Is Apache Iceberg a public or private company?

Apache Iceberg is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Apache Iceberg founded?

Apache Iceberg was founded in 1999.

How does Apache Iceberg make money?

Two revenue lines are on record. Donations and Charitable Contributions are the primary driver. The others are sponsorship Revenue.

Who are Apache Iceberg's main competitors?

Direct peers on record are Delta Lake, Apache Hudi, Apache Spark and Apache Flink. Broad incumbents are Google Cloud (BigLake / BigQuery), Amazon Web Services (S3 Tables / Athena / Glue), Snowflake and Databricks. Emerging players are Dremio and Starburst (Trino).

Does Apache Iceberg have an API?

No public API is recorded for Apache Iceberg.

What industry is Apache Iceberg in?

Apache Iceberg's product category is Open Table Format for Data Lakes. Its primary akta.pro industry code is HDAEABAB, Lakehouse Platforms, with a secondary code of HDAEABAC, Data Lake Platforms. Its NAICS code is 513210 and its SIC code is 7370.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales
Live signals
DatabricksUnlocking Data Portability: Preventing Catalog Lock-in with REGISTER and UNREGISTER APIsApache Iceberg added REGISTER and UNREGISTER endpoints to its REST catalog specification, enabling safe table handoff between catalogs without copying data. UNREGISTER removes the table's entry from the original catalog and returns its metadata location, preventing split-brain scenarios. A follow-up post will cover production migration steps.Amazon Web ServicesUnlocking real-time analytics: Streaming Aurora DSQL changes into Apache IcebergAWS announced support for change data capture (CDC) within Amazon Aurora DSQL, enabling the streaming of real-time data changes to Amazon Kinesis Data Streams. The article provides a technical guide on building a pipeline that delivers these events to Apache Iceberg tables via Amazon Data Firehose for real-time analytics and audit trails.Tech InsiderApache Iceberg vs Delta Lake vs Hudi 2026 ComparedThis technical comparison article analyzes three open-source table formats for data lakehouses — Apache Iceberg, Delta Lake, and Apache Hudi — examining their specifications, architecture, performance, ecosystem support, and use cases as of June 2026. The article notes that Iceberg v3 reached general availability in mid-2026 with new features including deletion vectors (offering up to 10x speedup for merge-heavy workloads), row lineage, and a VARIANT type, while all three formats have converged on core capabilities. Iceberg has emerged as the de facto open standard due to cross-vendor endorsement from AWS, Snowflake, Google, and even Databricks, though Delta Lake remains dominant in Databricks and Microsoft Fabric ecosystems, and Hudi excels at streaming upserts and CDC workloads. The article discusses interoperability tools like Delta UniForm and Apache XTable that allow tables to be readable across formats, effectively lowering the stakes of format selection.SnowflakeDanica FineThe article discusses the release of multiple versions of Apache Iceberg and Apache Polaris, highlighting new features and improvements like support for semi-structured data, enhanced governance, and better connectivity.Amazon Web ServicesAccelerate data lake operations with Apache Iceberg V3 deletion vectors and row lineageAWS has released support for Apache Iceberg V3 capabilities, specifically deletion vectors and row lineage, across its analytics and storage services including Amazon EMR, AWS Glue, and Amazon S3 Tables. These features are designed to optimize data lake operations by reducing storage costs and improving write performance through efficient handling of batch updates and compliance deletes. The update enables precise change tracking for audit trails and incremental processing without requiring custom engine-specific implementations.GoogleWhat is a data lakehouse, and how does it work?The article defines the data lakehouse as a hybrid data architecture that combines the flexibility of data lakes with the management capabilities of data warehouses to address issues like high costs and data duplication. It details how this unified platform supports diverse workloads such as business intelligence, machine learning, and AI while ensuring data governance and scalability through features like ACID transactions. Google Cloud is highlighted as a provider offering specific tools, including BigLake and BigQuery, to implement open lakehouse architectures using formats like Apache Iceberg.BoomiWhat Is a Data Lakehouse? Key Features ExplainedThe article explains the data lakehouse architecture, a modern data framework that combines the scalability of data lakes with the reliability and performance of data warehouses. It details key features such as unified storage, compute-storage separation, and ACID transaction support, while highlighting tools like Delta Lake, Apache Iceberg, and Boomi Data Integration. The piece outlines benefits including improved governance, cost-effectiveness, and enhanced support for AI/ML workflows across various industries.CakeHow to Build an Enterprise AI Stack (That Doesn’t Break at Scale)The article outlines a modular, open-source approach to building enterprise AI stacks, categorizing necessary tools into data engineering, analytics, MLOps, and AIOps. It highlights specific technologies such as Apache Iceberg, PyTorch, LangChain, and Ray as key components for scalable and secure AI implementation. Cake is presented as the platform designed to facilitate this composable infrastructure.MinIO Blog7 Data Lakehouse Examples in ActionThe article presents a collection of case studies demonstrating the practical application of open-source lakehouse technologies such as Apache Iceberg, Hudi, and Dremio. It highlights specific organizational benefits including sub-second analytics at petabyte scale, real-time ingestion capabilities, and significant reductions in storage costs through Hadoop migrations. The content serves as a resource for architects and engineers to evaluate current data architecture strategies.The New StackThe Problem with Tiered StorageThe article contrasts traditional tiered data storage with modern object storage solutions, arguing that keeping all data 'hot' offers superior performance and value for analytics. It highlights AWS S3 Tables using Apache Iceberg and Hydrolix as key technologies enabling cost-effective, low-latency access to large volumes of historical log data. The piece emphasizes benefits such as improved machine learning training, enhanced cybersecurity threat hunting, and broader business intelligence capabilities compared to frozen storage.