What Datalogz does

Datalogz is a New York-based BI Ops software company that provides a read-only, metadata-only observability and governance layer across enterprise analytics environments. Its flagship product, the Datalogz Control Tower, inventories every report, dashboard, dataset, and lineage signal across BI tools (Power BI, Tableau, Qlik, Sigma, Spotfire, Looker, ThoughtSpot, MicroStrategy, SAP BusinessObjects), data platforms (Snowflake, Databricks, BigQuery, Redshift, Oracle, SQL Server), and AI copilots (Microsoft Copilot, Power BI Copilot, Gemini, Claude, ChatGPT, Snowflake Cortex, Databricks Genie, ThoughtSpot Spotter), and exposes that governed context to LLMs and agents via the Model Context Protocol (MCP). Underlying capabilities include a proprietary Similarity Engine that scores reports on 14+ parameters to surface duplicates and definition drift, a Semantic Graph that maps canonical versus deprecated metric definitions, and continuous (365-day) autonomous governance guardrails for access, refresh, certification, and cost control. The platform is built on top of Lyft's open-source Amundsen data catalog.

The company sells primarily to Fortune 500 and Fortune 1000 enterprises running three or more BI tools, with named case-study customers including Georgia-Pacific and PepsiCo (co-presenters at Gartner Data & Analytics Summit 2026). Secondary segments include mid-market, U.S. public sector (sold via Carahsoft), and verticals such as manufacturing, CPG, pharmaceuticals, and financial services. Pricing is hybrid: a $39/user/month hosted Community Edition serves as a PLG-style entry point, while enterprise contracts are custom and tied to deployment type, connector count, asset volume, and custom connectors, typically delivered as multi-year SaaS or self-hosted (AWS/GCP/Azure) subscriptions with attached professional services. Distribution combines direct enterprise field sales, a self-serve/inside-sales tier, the Microsoft AI Cloud Partner Program, AWS Partner Network, Qlik Technology Partner, Carahsoft for U.S. Public Sector, and SI/implementation partners (Tecknoworks, Indicium).

Datalogz was founded in 2021 by Logan Havern (CEO), Razvan Furca (CTO), and Pablo Lerdo de Tejada (COO) and is a privately held Delaware C-corporation headquartered in Queens, New York. The company has raised approximately $7.09M in cumulative disclosed funding (a $2.09M Rule 506(b) private placement in February 2023 and a $5M seed round led by GreatPoint Ventures in December 2023), with additional backers including Squadra Ventures, Berkeley SkyDeck, Aggie Angel Network, Trajectory Ventures, Mana Ventures, Graphene Ventures, Harvard Business School, AWS Partner Network, and Microsoft for Startups. The company is SOC 2 Type II certified, holds 20+ named team members, and is actively scaling product, partnerships, and geographic reach (most recently with an India Roadshow in November 2025 and the launch of Semantic Intelligence and Datalogz 2.10 in 2026).

Name

Datalogz

Legal name

Datalogz, Inc.

Website

https://datalogz.io

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

11–50 employees

Short description

Datalogz is a New York-based BI Ops software company that provides a read-only, metadata-only observability and governance layer for enterprise analytics environments. It serves Fortune 500/1000 data-mature enterprises running multiple BI tools, AI copilots, and data warehouses.

Ownership category

akta.pro rank

Product category

BI Observability and Analytics Governance

NAICS

Software Publishers (51321), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)

akta.pro primary industry

Data Catalog & Metadata Management (HDAEADAC)

akta.pro secondary industries

Semantic Layer, Metrics Store & Headless BI (HDAEAMAE), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB)

Keywords

• BI observability platform
• Analytics governance
• Metadata management
• Data lineage tracking
• BI cost optimization

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription (Community Edition): Per-seat SaaS subscription priced at $39/user/month for the Datalogz Hosted Cloud Community Edition. Includes free trial, cloud integrations, central metadata repository, and data lineage. Recurring monthly/annual billing.
2. Enterprise Custom Contracts: Enterprise pricing is custom and tied to value delivered; based on deployment type (cloud vs self-hosted), number of connectors (BI tools), volume of data assets, and any custom connectors. Recurring contracts with measurable ROI tied to the contract.
3. Self-Hosted Enterprise + Premium Support: Self-hosted deployment option (in customer's AWS, GCP, or Azure environment) with custom features and premium support. Typically multi-year enterprise contracts with professional services attached.
4. Implementation & Migration Professional Services: Power BI Engineer role indicates Datalogz provides hands-on BI cleanup, migration, and remediation services for enterprise customers (BI environment migrations, report consolidation, sensitivity labeling).
5. Partner/Reseller Channel Revenue (Public Sector): Indirect revenue via Carahsoft Technology Corp acting as Master Government Aggregator for Datalogz across Federal, State, Local, Education, and Healthcare.

Pricing tiers

Go-to-market motion5 records

Distribution channels8 records

Marketing channels10 records

Core offering

Datalogz sells a unified BI Ops platform, the Datalogz Control Tower, that continuously monitors every BI tool, dashboard, dataset, and dollar across an enterprise's analytics stack. The platform is read-only and metadata-only, ingesting native metadata from BI tools (Power BI, Tableau, Qlik, Sigma, Spotfire), data warehouses (Snowflake, Databricks, BigQuery, Redshift), and AI copilots (Microsoft Copilot, Gemini, Claude, ChatGPT, Snowflake Cortex, Databricks Genie), then delivering autonomous governance, BI similarity scoring, and AI-ready context over MCP.

Product overview

Datalogz offers a single unified BI Ops platform anchored by the Datalogz Control Tower — its core product — and extended through several integrated modules and use-case solutions. Control Tower provides the always-on inventory, monitors, alerts, and insights that constitute the base governance layer. On top of it, BI 360 delivers an executive 360° view across BI tools, BI Migration Hub supports BI platform transformations, Semantic Intelligence maps every metric into a governed semantic graph (with BI Similarity as its similarity-scoring engine), and the upcoming Agent BIOps module exposes health-tagged, policy-aware agents plus an MCP server so LLMs can consume governed context. A set of solution packages — Risk Reduction, Cost Reduction, BI Access Audit, Capacity Monitoring, BI Governance, and BI Similarity — repackage Control Tower capabilities for specific executive priorities. Deployment options include Datalogz Hosted Cloud (Community Edition at $39/user/month and enterprise) and Self-Hosted on AWS/GCP/Azure.

Differentiator

Problem solved

Functional benefit

Brands

• Datalogz Control Tower: Flagship product/platform — a unified BI/Analytics control tower for monitoring data consumption, governance, alerts, inventory and analytics similarity across BI tools.
• Datalogz BI 360
• Datalogz Semantic Intelligence

Products and services

• Datalogz Control Tower Unified BI Ops platform that continuously monitors every BI tool, dashboard, dataset, and dollar across the enterprise; provides always-on, autonomous governance, de-duplication, ownership mapping, and similarity detection, turning BI sprawl into a governed analytics layer.
• BI 360 Executive dashboard within Control Tower that rolls up adoption, licensing, usage trends, and a global inventory across BI tools so leaders see ROI and admins can act with confidence.
• BI Migration Hub Migration module that streamlines BI platform transformations with end-to-end visibility, automated metadata management, and proactive detection of critical assets and dependencies.
• Semantic Intelligence Maps every metric, definition, lineage, ownership, and usage signal across BI tools, warehouses, and AI copilots into a single semantic graph that clusters concepts, detects drift on a 0-100 scoring scale, and surfaces overlap for AI-ready governance.
• Datalogz 2.10 Major platform release that extends Datalogz Control Tower with the Semantic Intelligence layer, positioning the product to govern analytics from BI to AI.

Named customers3 records

Segments12 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration40 records

AI capability11 records

Feature8 records

Partnerships

Twelve partnerships are on record, tiered flagship, core and minor.

• Microsoft (AI Cloud Partner Program)flagshipTechnology or Integration · 14 July 2024Datalogz joined the Microsoft AI Cloud Partner Program in July 2024. The program provides advanced AI tools, resources, and support. Integration spans Microsoft Power BI, Microsoft Fabric, Microsoft 365, SharePoint, Excel, Copilot, and Azure.
• IndiciumcoreImplementation/ SI/ Consulting Partner · 14 May 2024Indicium (data consultancy, NYC + São Paulo, 600+ data projects) and Datalogz announced a joint strategic partnership in New York City on May 14, 2024 — combining BI Ops with expert data and AI consultancy.
• Carahsoft Technology Corp.flagshipChannel Partner/ Reseller/ Distributor · 13 March 2024Carahsoft is Datalogz's Master Government Aggregator® for U.S. Public Sector. In February 2024 Carahsoft added Datalogz to its portfolio as a trusted SaaS Multicloud Solution and Data & Analytics solution; March 2024 formal Data Trust partnership announced.
• Qlik (Technology Partner)flagshipTechnology or Integration · 1 January 2024In 2024 Datalogz became a Qlik Technology Partner, expanding coverage and extending reach into Qlik-based ecosystems at Qlik's customers worldwide. Datalogz integrates natively with Qlik Sense.
• Harvard Business SchoolminorOthersListed in Datalogz's 'We are backed by' section (Harvard Business School logo). Likely affiliated with founders/alumni network rather than direct investment.
• AWS Partner NetworkcoreTechnology or IntegrationDatalogz is part of the AWS Partner Network. Self-hosted deployment option explicitly supports AWS environments; Redshift is listed as a supported data warehouse connector.
• TecknoworkscoreImplementation/ SI/ Consulting PartnerTecknoworks (founded 2001, 100+ professionals across multiple continents) is listed as a Datalogz Partner. Jointly empowers organizations in launching and succeeding in their digital initiatives.
• Intake MediaminorGTM or Marketing PartnerIntake Media specializes in message strategy and content development for early-stage startups (cyber and critical technologies for America's national security). Supports Datalogz's GTM and fundraising content.
• definityminorGTM or Marketing Partnerdefinity co-sponsored the Future Frontiers event in April 2026 ('How Data Leaders Reduce Complexity Without Slowing the Business') with Datalogz.
• Metric InsightsminorGTM or Marketing PartnerMetric Insights co-sponsored the Future Frontiers event 'Modernizing BI Governance Without Killing Self-Service' (August 26, 2025) with Datalogz.
• QualyticsminorGTM or Marketing PartnerQualytics co-sponsored the Future Frontiers event 'From Data Sprawl to AI Strategy' (July 17, 2025) with Datalogz.
• Lyft (Amundsen open source)coreOEM/ Whitelabel/ Licensing PartnerDatalogz is built on top of Lyft's open source data catalog Amundsen. Open-source licensed inbound code dependency providing the metadata foundation of the platform.

Scale indicators15 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Collibra: Enterprise data intelligence and governance platform with deep catalog, stewardship, and policy workflows. Operates as a broader incumbent in the same 'BI/data governance' category as Datalogz.
• Microsoft Purview: Microsoft's unified data governance service spanning catalog, lineage, and policy across Azure, Fabric, and Power BI. The dominant incumbent threat to Datalogz inside Microsoft-anchored enterprises.
• Informatica: Large-scale data integration and governance suite (including data catalog and data quality). Competes with Datalogz on enterprise catalog and metadata management budgets, with a much broader product portfolio.
• Unity Catalog (Databricks): Databricks' native unified catalog for data and AI assets with built-in governance and lineage. Competes with Datalogz at the metadata layer within Databricks estates and increasingly across BI tools.

Direct peers

• CastorDoc: AI-enabled data discovery, catalog, and documentation platform. Competes directly with Datalogz in the BI/analytics catalog space, with emphasis on self-service analytics.
• Atlan: Active metadata platform combining data catalog, lineage, and governance for modern data stacks. Closely comparable product surface to Datalogz, targeting similar enterprise and mid-market data teams.
• Alation: Data catalog and governance platform serving Fortune 500 data teams. Direct overlap with Datalogz's metadata catalog and governance positioning, with a more mature enterprise install base and substantially more capital raised.
• Secoda: AI-powered data catalog, lineage, and governance platform aimed at data teams. Closely comparable scope to Datalogz — inventory, documentation, governance, and AI-driven search — with a similar mid-market-to-enterprise go-to-market.

Emerging players

• Bigeye: Data observability and quality platform with lineage and metric monitoring. Overlaps with Datalogz on continuous monitoring and metric trust, particularly on warehouse estates (Snowflake, BigQuery).
• Monte Carlo: Data observability platform focused on data reliability, freshness, and quality monitoring. Adjacent to Datalogz's monitors/alerts layer and frequently evaluated alongside BI governance tools in enterprise RFPs.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/datalogz
• Facebookfacebook.com/Datalogz
• LinkedInlinkedin.com/company/datalogz
• Instagraminstagram.com/datalogz.io

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Subsidiaries1 record

Funding overview

Funding rounds2 records

Investors8 records

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

M&A

Investments

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

Frequently asked questions about Datalogz