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Top Julia Computing Alternatives, Competitors & Similar Software

Founded 2015

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as primeNumber, primeNumber and primeNumber. These Julia Computing competitors have raised $3.6M and together serve more than - customers and employ over 1.6K team members.

Compare Julia Computing with primeNumber
1primeNumber logo
primeNumber

Data Science and Machine Learning Platforms

PrimeNumber's is a SaaS-based data integration service that enables engineers to automate the data acquisition process.

Revenue
$7.9M
Customers
-
Year founded
2015
Funding
$1.2M
Team size
67
Location
Japan
Compare Julia Computing with primeNumber
2primeNumber logo
primeNumber

Data Science and Machine Learning Platforms

PrimeNumber's is a SaaS-based data integration service that enables engineers to automate the data acquisition process.

Revenue
$7.9M
Customers
-
Year founded
2015
Funding
$1.2M
Team size
67
Location
Japan
Compare Julia Computing with primeNumber
3primeNumber logo
primeNumber

Data Science and Machine Learning Platforms

PrimeNumber's is a SaaS-based data integration service that enables engineers to automate the data acquisition process.

Revenue
$7.9M
Customers
-
Year founded
2015
Funding
$1.2M
Team size
67
Location
Japan
Compare Julia Computing with Heads Up Health
4Heads Up Health logo
Heads Up Health

Data Science and Machine Learning Platforms

Heads Up Health develops a data analytics platform for individuals and healthcare professionals, offering customizable health dashboards. The platform is tailored for concierge medicine and functional medicine practitioners.

Revenue
$7.9M
Customers
-
Year founded
2014
Funding
-
Team size
55
Location
United States
Compare Julia Computing with Arbital Health
5Arbital Health logo
Arbital Health

Data Science and Machine Learning Platforms

AI-powered platform built by the industry's leading healthcare actuaries to successfully manage risk-based contracts. It is a healthcare technology startup that facilitates value-based care through a neutral adjudication utility.

Revenue
$7.9M
Customers
-
Year founded
2023
Funding
-
Team size
52
Location
United States
Compare Julia Computing with Groundcover
6Groundcover logo
Groundcover

Data Science and Machine Learning Platforms

Groundcover is an eBPF-driven observability platform that provides teams with tools to visualize metrics, logs, and traces, designed for monitoring cloud-native systems. It enables teams to monitor everything they build and run in the cloud with a focus on cost-effectiveness.

Revenue
$7.9M
Customers
-
Year founded
-
Funding
-
Team size
82
Location
Israel
Compare Julia Computing with Lender Toolkit
7Lender Toolkit logo
Lender Toolkit

Data Science and Machine Learning Platforms

Provider of automated, innovative and comprehensive AI-powered mortgage technology solutions that streamline the mortgage origination process for mortgage lenders

Revenue
$7.9M
Customers
-
Year founded
2015
Funding
-
Team size
38
Location
United States
Compare Julia Computing with Arbital Health
8Arbital Health logo
Arbital Health

Data Science and Machine Learning Platforms

AI-powered platform built by the industry's leading healthcare actuaries to successfully manage risk-based contracts. It is a healthcare technology startup that facilitates value-based care through a neutral adjudication utility.

Revenue
$7.9M
Customers
-
Year founded
2023
Funding
-
Team size
52
Location
United States
Compare Julia Computing with RADAR
9RADAR logo
RADAR

Data Science and Machine Learning Platforms

RADAR is building technology to completely transform the in-store experience for retail employees

Revenue
$7.9M
Customers
-
Year founded
2013
Funding
-
Team size
154
Location
United States
Compare Julia Computing with Stack
10Stack logo
Stack

Data Science and Machine Learning Platforms

Stack is an end-to-end SaaS-based solution that scales mobile app business growth and drives profits by synthesizing User Acquisition, Ad Monetization and Business Intelligence. Stack is an independent market player that strives to clear the way for publishers and advertisers to collaborate directly. In an industry known for being opaque, Stack aims to increase transparency and empower mobile app businesses with the technology and information they need to thrive in a highly competitive landscape.

Revenue
$7.9M
Customers
-
Year founded
2015
Funding
-
Team size
199
Location
United States
Compare Julia Computing with Ververica
11Ververica logo
Ververica

Data Science and Machine Learning Platforms

Ververica, the original creators of Apache Flink®, empowers businesses with high-performance data streaming and processing solutions. Streamlining operations, developer efficiency, and enabling customers to solve real-time use cases reliably and securely. Ververica’s Unified Streaming Data Platform, powered by its cloud native VERA engine, revolutionizes Apache Flink®, making it easy for organizations to harness data insights at scale. With Ververica, customers can meet any business SLA, leveraging advanced data streaming and processing capabilities in real-time or on the lakehouse. Ververica enables businesses to connect, process, govern, and analyze data, across infinite use cases, with flexible deployment options, including public cloud, private cloud, or on-premise environments. Discover more at ververica.com.

Revenue
$7.9M
Customers
-
Year founded
2014
Funding
-
Team size
72
Location
Germany
Compare Julia Computing with Ververica
12Ververica logo
Ververica

Data Science and Machine Learning Platforms

Ververica, the original creators of Apache Flink®, empowers businesses with high-performance data streaming and processing solutions. Streamlining operations, developer efficiency, and enabling customers to solve real-time use cases reliably and securely. Ververica’s Unified Streaming Data Platform, powered by its cloud native VERA engine, revolutionizes Apache Flink®, making it easy for organizations to harness data insights at scale. With Ververica, customers can meet any business SLA, leveraging advanced data streaming and processing capabilities in real-time or on the lakehouse. Ververica enables businesses to connect, process, govern, and analyze data, across infinite use cases, with flexible deployment options, including public cloud, private cloud, or on-premise environments. Discover more at ververica.com.

Revenue
$7.9M
Customers
-
Year founded
2014
Funding
-
Team size
72
Location
Germany
Compare Julia Computing with Cube Dev
15Cube Dev logo
Cube Dev

Data Science and Machine Learning Platforms

Cube helps organizations modernize how they deliver, consume, and automate data and analytics across teams, tools, and AI agents by bringing consistency, context, and trust to the next generation of data experiences. Cube Cloud is a leading universal semantic layer platform, providing a single source of truth for both humans and Cube D3’s agentic analytics. Any data source can be unified, governed, optimized, and integrated with any data application: AI, BI, spreadsheets, and embedded analytics. Cube is installed on 90,000 servers and used by more than 5 million users. Customers include 20% of the Fortune 1000. Based in San Francisco, Cube is backed by Decibel, Bain Capital Ventures, Eniac Ventures, 645 Ventures, Databricks Ventures, and Betaworks. To learn more, visit cube.dev.

Revenue
$7.9M
Customers
-
Year founded
2019
Funding
-
Team size
72
Location
United States
Compare Julia Computing with TECH5
16TECH5 logo
TECH5

Data Science and Machine Learning Platforms

...offerings through the application of AI and Machine Learning technologies. A combination of sustained investment and single-minded dedication to the development of biometric modalities that capitalize on AI has resulted in TECH5’s algorithms being consistently ranked in the top tier of NIST ranking for face...

Revenue
$7.9M
Customers
-
Year founded
2018
Funding
-
Team size
72
Location
Switzerland
Compare Julia Computing with DNIF HYPERCLOUD
17DNIF HYPERCLOUD logo
DNIF HYPERCLOUD

Data Science and Machine Learning Platforms

DNIF HYPERCLOUD is a cloud native machine data analytics platform to help cybersecurity practitioners with platform, tools and anchoring in meeting their threat detection goals, efficiently.

Revenue
$7.9M
Customers
-
Year founded
2002
Funding
-
Team size
72
Location
United States
Compare Julia Computing with Quartr
18Quartr logo
Quartr

Data Science and Machine Learning Platforms

Quartr is a software company serving the world of finance. The Quartr ecosystem gives millions of investors, corporate professionals, and journalists easy access to first-party information from 11,000+ public companies through a variety of services. Quartr's product suite includes a free mobile app for both iOS and Android, a web app that caters to the needs of corporate professionals and retail investors alike, an embeddable player for investor relations sites, and an API solution that gives third parties the ability to stream live earnings calls and distribute documents such as slide decks, earnings reports, and financial segment data from 10,000+ public companies. All products are built with the same purpose – to bring the financial community closer together.

Revenue
$7.9M
Customers
-
Year founded
2020
Funding
-
Team size
72
Location
Sweden
Compare Julia Computing with BuddyBoss
19BuddyBoss logo
BuddyBoss

Data Science and Machine Learning Platforms

Your #1 trusted resource for BuddyPress and WordPress powered communities. Our products and custom development services help businesses across the globe, in building community platforms on WordPress and BuddyPress.

Revenue
$7.9M
Customers
-
Year founded
2010
Funding
-
Team size
72
Location
United States
Compare Julia Computing with IronNet
20IronNet logo
IronNet

Data Science and Machine Learning Platforms

Founded in 2014, IronNet Cybersecurity is a global cybersecurity leader that is revolutionizing how enterprises, industries, and governments secure their networks. IronNet takes the skills of its top-notch cybersecurity operators with their real-world, public and private sector, offensive and defensive cyber experience, and integrates their deep tradecraft knowledge into its industry-leading products to solve the most challenging cyber problems facing industry today. IronNet’s solutions leverage behavioral analytics, machine learning, and artificial intelligence techniques to help public and private enterprises across critical infrastructure detect unknown threats. Our ability to share the derived raw intelligence with peer enterprises in real-time and at machine speed, uniquely enables industries and governments to collectively defend against well-funded nation state and cyber criminal threats.

Revenue
$7.9M
Customers
-
Year founded
2014
Funding
-
Team size
72
Location
United States
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