Company profile: Databricks
1.1 - Company Overview
Company description
- Provider of a unified data and AI platform that combines data engineering, analytics, and machine learning on a lakehouse architecture. Offers collaborative data science workflows, Apache Sparkβbased data pipelines, and integration with various cloud services. Products include Databricks Lakehouse Platform, Unity Catalog, Databricks SQL, Delta Lake, MLflow, and Databricks Marketplace.
Products and services
- Databricks Lakehouse Platform: Databricks engineers an enterprise-grade lakehouse unifying data engineering, analytics, and machine learning
- Builds Apache Spark pipelines and integrates with various cloud services to manage and analyze data
- Delta Lake: Databricks constructs an open-source storage layer bringing ACID transactions to data lakes, enabling reliable data engineering and data science workflows within the lakehouse architecture
- Unity Catalog: Databricks architects a compliance-grade centralized governance system delivering fine-grained access controls, data lineage, and audit capabilities for data and AI assets across the Databricks Lakehouse Platform
Key contacts
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Financial details
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1.2 - Competitors and similar companies to Databricks
Altiscale
HQ: United States
Website
- Description: Provider of a cloud-based Big Data platform purpose-built for Apache Hadoop, offering access to a managed Hadoop cloud and the operational expertise to execute complex Hadoop projects, with monitoring of both infrastructure and jobs.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: βββββ
- Total funding raised: $βββm
- Backers: ββββββββββ
- Acquisitions: ββ
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Eventador
HQ: United States
Website
- Description: Provider of fully managed, enterprise-grade stream processing as a service based on Apache Flink and Kafka, enabling organizations to build real-time data applications while alleviating complexity; platform based in Austin, TX.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: βββββ
- Total funding raised: $βββm
- Backers: ββββββββββ
- Acquisitions: ββ
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Swiftype
HQ: United States
Website
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- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: βββββ
- Total funding raised: $βββm
- Backers: ββββββββββ
- Acquisitions: ββ
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HStreaming
HQ: United States
Website
- Description: Provider of proprietary technology that enables smart collection, analysis and visualization of massive data streams as they are generated, delivering continuous real-time and batch analytics in a single platform; powered by Hadoop and compatible with all Hadoop distributions.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: βββββ
- Total funding raised: $βββm
- Backers: ββββββββββ
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Teradata
HQ: United States
Website
- Description: Provider of connected multi-cloud data platforms, applications, and services for enterprise analytics, with flexibility to handle massive and mixed data workloads. Offerings include Teradata Vantage, ClearScape Analytics with AI, ML and natural language processing, VantageCloud Lake, VantageCore Solutions powered by Dell Technologies, Analytic Archive, and Enterprise Data Warehouse.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: βββββ
- Total funding raised: $βββm
- Backers: ββββββββββ
- Acquisitions: ββ
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2.M&A buyers
2.1 Potential strategic acquirers in the sector
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2.2 - Strategic buyer groups for Databricks
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Buyer group 2: ββββββββ ββββββββ
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Buyer group 3: ββββββββ ββββββββ
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3. Investors and private equity firms
3.1 - Buyout funds investing in similar companies to Databricks
2.2 - Growth funds investing in similar companies to Databricks
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4 - Top valuation comps for Databricks
4.2 - Public trading comparable groups for Databricks
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