7 Integrations with Harvest Forecast
View a list of Harvest Forecast integrations and software that integrates with Harvest Forecast below. Compare the best Harvest Forecast integrations as well as features, ratings, user reviews, and pricing of software that integrates with Harvest Forecast. Here are the current Harvest Forecast integrations in 2026:
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1
Harvest
Harvest
Harvest makes it easy to track time, gain insights from past projects, and get paid for your work. Native apps and integrations with popular tools like Asana and Slack allow Harvest to fit into your team's workflow. A wide selection of visual reports keep projects running smoothly and your team supported. By tracking time and expenses in Harvest, you capture critical project data that allows you to learn from the past, keep current projects on track, and better estimate future projects. - Review past data to improve how you scope and price work - Understand which projects are profitable — and why - Know when to take on new business (or grow your team) Turn your team's tracked time and expenses into invoices and collect payments quickly with integrated online payments. Get started today to help your team spend time wisely with Harvest.Starting Price: $11 USD/person/month annually -
2
Metric.ai
Measured Analytics
Ditch the spreadsheets and make finance a team habit. Metric.ai provides a single source of truth for all your financial data. Set project budgets, calculate costs, and recognize revenue with complete confidence. Get an up-to-date view of profit, utilization, effective bill rates, capacity, and more. Uncover over 100 service-specific KPIs and create custom metrics for enhanced decisions. Categorize projects and employees into departments, roles, offices, and more to reflect organization structure with unique metrics for each tag. Create more accurate forecasts with key metrics like revenue recognition, multi-currency, financial closures, and historical changes all in one place. Bring more predictability into your planning process. Get notified of potential risks and uncover actionable insights as to why actuals deviate from forecasts. Plan revenue, costs and profit based on project and resource plans. Account for changes in realtime. -
3
Lyftrondata
Lyftrondata
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse. -
4
Blotout
Blotout
Activate customer journeys with complete visibility using infrastructure-as-code. Blotout’s SDK offers companies all of the analytics and remarketing tools they are accustomed to, while offering best-in-class privacy preservation for the company’s users. Blotout’s SDK is out of the box compliant with GDPR, CCPA & COPPA. Blotout’s SDK uses on-device, distributed edge computing for analytics, messaging and remarketing, all without using user personal data, device IDs or IP addresses. Measure, attribute, optimize, and activate customer data with 100% customer coverage. The only stack that gives you the complete customer lifecycle by unifying event, online, and offline data sources. Establish a trusted data relationship with your customers to build loyalty and maintain compliance with the GDPR and global privacy laws. -
5
Meltano
Meltano
Meltano provides the ultimate flexibility in deployment options. Own your data stack, end to end. Ever growing connector library of 300+ connectors have been running in production for years. Run workflows in isolated environments, execute end-to-end tests, and version control everything. Open source gives you the power to build your ideal data stack. Define your entire project as code and collaborate confidently with your team. The Meltano CLI enables you to rapidly create your project, making it easy to start replicating data. Meltano is designed to be the best way to run dbt to manage your transformations. Your entire data stack is defined in your project, making it simple to deploy it to production. Validate your changes in development before moving to CI, and in staging before moving to production. -
6
iceScrum
Kagilum
Your true Agile project management tool. iceScrum helps you materialize your vision, makes it visible to your teams and ensures that it stays up-to-date as business knowledge grows. Stories helps formalizing the main features of your product and organizing requirements with a simple yet powerful visual representation. Scale up Scrum with ease, coordinate the work between your feature teams and get a high-level vision of their progress with SAFe, LeSS and more. Ensure that deadlines are always met and that the right amount of work is planned in every iteration to ensure predictable progress -
7
Singer
Singer
Singer describes how data extraction scripts called “taps” and data loading scripts called “targets” should communicate, allowing them to be used in any combination to move data from any source to any destination. Send data between databases, web APIs, files, queues, and just about anything else you can think of. Singer taps and targets are simple applications composed with pipes—no daemons or complicated plugins needed. Singer applications communicate with JSON, making them easy to work with and implement in any programming language. Singer also supports JSON Schema to provide rich data types and rigid structure when needed. Singer makes it easy to maintain state between invocations to support incremental extraction.
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