Google Cloud Natural Language API
spaCy
Amazon Comprehend
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
monkeylearn
OpenNLP
Qrvey
DevicePilot
AnswerRocket
Syndigo
Amdocs CES
Yellowfin
Toucan Toco
Omniscope
Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
Google Cloud Natural Language API QrveyNo features have been listed yet.
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Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Qrvey's answer:
Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
Based on our record, Google Cloud Natural Language API seems to be a lot more popular than Qrvey. While we know about 13 links to Google Cloud Natural Language API, we've tracked only 1 mention of Qrvey. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 5 months ago
Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago
Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: 12 months ago
We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
Amazon Comprehend - Discover insights and relationships in text
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
