When was Tabular Tools founded?

Tabular Tools was founded in 2023.

Where is Tabular Tools located?

Tabular Tools is headquartered in Wilmington, United States.

Is Tabular Tools a funded company?

Tabular Tools is a funded company, having raised a total of $***** in its 1st and only funding round.

Where does Tabular Tools rank among its competitors?

Tabular Tools ranks 50th amongst 54 active competitors, of which 2 are funded. It stands 11th in terms of total funding among its competitors. The most recent competitor to raise funding was Jeco, which secured $1.3M in Jul, 2025.

Who are the top competitors of Tabular Tools?

Tabular Tools' top competitors include Azul Systems, Stackify and ZeroTurnaround. Among them, Jeco secured the most recent funding round in July, 2025.

Tabular Tools - 2026 Company Profile & Competitors

Tabular Tools is an unfunded company based in Wilmington (United States), founded in 2023. It operates as a Developer of software tools for analyzing and optimizing data models. Tabular Tools has not raised any funding yet. The company has 54 active competitors, including 2 funded and 6 that have exited. Its top competitors include companies like Azul Systems, Stackify and ZeroTurnaround.

Company Details

Developer of software tools for analyzing and optimizing data models. These tools identify performance bottlenecks within semantic models used in business intelligence environments. The software provides diagnostics to assist in the adjustment of measures and calculations to improve processing efficiency. Users can track modifications to their models to monitor performance changes over time. The functionality includes options for obfuscating data to maintain privacy during the analysis process. The software integrates with existing development environments to facilitate the management of model lifecycles from initial creation through to deployment.

Social
Email ID: *****@tabulartools.com

Key Metrics

Founded Year

2023

Location

Wilmington, United States

Stage

Unfunded

Ranked

50^th among 54 active competitors

Similar Companies

Azul Systems & 57 more

View Tabular Tools' full profile

Tabular Tools has not raised any funding rounds yet.

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Top competitors of Tabular Tools include Azul Systems, Stackify and ZeroTurnaround. Here is the list of Top 10 competitors of Tabular Tools, ranked by Tracxn score:

Rank	Company Details	Short Description	Total Funding	Investors	Tracxn Score
1st	Azul Systems 2002, San Francisco (United States), Acquired	Provider of Java platform designed for modern cloud enterprise deployments	$82.2M	Meritech, Worldview Technology Partners & 10 others	74/100
2nd	Stackify 2012, Kansas City (United States), Acquired	Cloud-based application performance management	$10.4M	Software Growth Partners, Cypress Growth Capital ... & 1 others	42/100
3rd	ZeroTurnaround 2007, Tartu (Estonia), Acquired	Productivity tools for Java developers	$11.7M	Bain Capital Ventures, Venture Guides & 3 others	40/100
4th	Jeco 2024, London (United Kingdom), Seed	Developer of software tools that optimise performance and reduce production costs	$1.3M	The Games Angels, British Business Bank	38/100
5th	Allinea 2002, Warwick (United Kingdom), Acquired	Tools for parallel programming and high performance computing	$643K	Mercia, Midven & 4 others	36/100
6th	New Blue Room Corpus Christi (United States), Unfunded	Developer of a free Java development environment designed for beginners	-	-	33/100
7th	Falcon Computing 2014, Santa Clara (United States), Early Stage	Developer of acceleration solutions for compute-intensive and big data applications	$10M	Baidu Ventures	32/100
8th	RISCWARE Gurugram (India), Unfunded	Provider of RISC-V design verification tools and related development services	-	-	24/100
9th	Functio 2023, Unfunded	Developer of AI-powered code optimization tools for performance improvement	-	-	24/100
10th	Superluminal 2017, Zoetermeer (Netherlands), Unfunded	Provider of profiling tool for C language code	-	-	24/100
50th	Tabular Tools 2023, Wilmington (United States), Unfunded	Developer of software tools for analyzing and optimizing data models	-	-	16/100