Find and compare the best Artificial Intelligence software for Google Cloud BigQuery in 2024
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Use the comparison tool below to compare the top Artificial Intelligence software for Google Cloud BigQuery on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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1
Kraken
Big Squid
$100 per monthKraken is suitable for all data scientists and analysts. It is designed to be easy-to-use and no-code automated machine-learning platform. The Kraken no code automated machine learning platform (AutoML), simplifies and automates data science tasks such as data prep, data cleaning and algorithm selection. It also allows for model training and deployment. Kraken was designed with engineers and analysts in mind. If you've done data analysis before, you're ready! Kraken's intuitive interface and integrated SONAR(c), training make it easy for citizens to become data scientists. Data scientists can work more efficiently and faster with advanced features. You can use Excel or flat files for daily reporting, or just ad-hoc analysis. With Kraken's drag-and-drop CSV upload feature and the Amazon S3 connector, you can quickly start building models. Kraken's Data Connectors allow you to connect with your favorite data warehouse, business intelligence tool, or cloud storage. -
2
Tonic
Tonic
Tonic automatically creates mock datasets that preserve key characteristics of secure data sets so that data scientists, developers, and salespeople can work efficiently without revealing their identities. Tonic creates safe, de-identified data from your production data. Tonic models your production data from your production data to help tell a similar story in your testing environments. Safe and useful data that is scaled to match your real-world data. Safely share data across businesses, teams, and borders to create data that is identical to your production data. PII/PHI identification and obfuscation. Protect your sensitive data by proactive protection with automatic scanning, alerts and de-identification. Advanced subsetting across diverse database types. Fully automated collaboration, compliance, and data workflows. -
3
TruEra
TruEra
This machine learning monitoring tool allows you to easily monitor and troubleshoot large model volumes. Data scientists can avoid false alarms and dead ends by using an unrivaled explainability accuracy and unique analyses that aren't available anywhere else. This allows them to quickly and effectively address critical problems. So that your business runs at its best, machine learning models are optimized. TruEra's explainability engine is the result of years of dedicated research and development. It is significantly more accurate that current tools. TruEra's enterprise-class AI explainability tech is unrivalled. The core diagnostic engine is built on six years of research by Carnegie Mellon University. It outperforms all competitors. The platform performs sophisticated sensitivity analyses quickly, allowing data scientists, business users, risk and compliance teams to understand how and why a model makes predictions. -
4
StreamFlux
Fractal
Data is essential when it comes to constructing, streamlining and growing your company. Unfortunately, it can be difficult to get the most out of data. Many organizations face incompatibilities, slow results, poor access to data and spiraling costs. Leaders who can transform raw data into real results are the ones who will succeed in today's competitive landscape. This is possible by empowering everyone in your company to be able analyze, build, and collaborate on machine learning and AI solutions. Streamflux is a one stop shop for all your data analytics and AI needs. Our self-service platform gives you the freedom to create end-to-end data solutions. It uses models to answer complex questions, and evaluates user behavior. You can transform raw data into real business impact in days instead of months, whether you are generating recommendations or predicting customer turnover and future revenue. -
5
Continual
Continual
Without complex engineering, build predictive models that can never stop improving. Connect to your cloud data warehouse and get all of your data right where it is. You can share features and create state-of-the art ML models using only SQL or dbt, or extend with Python. Predictions can be stored directly in your data warehouse, making them available for your BI and other operational tools. You can maintain features and predictions directly within your data warehouse without the need for new infrastructure. Create state-of the-art models that make use of all your data, without having to write code or create pipelines. Continual's declarative engine AI engine allows you to unify analytics and AI teams. As you scale, manage features, models, policies and workflows with declarative GitOps. Accelerate model development using a shared feature store, and a data-first workflow. -
6
Zepl
Zepl
All work can be synced, searched and managed across your data science team. Zepl's powerful search allows you to discover and reuse models, code, and other data. Zepl's enterprise collaboration platform allows you to query data from Snowflake or Athena and then build your models in Python. For enhanced interactions with your data, use dynamic forms and pivoting. Zepl creates new containers every time you open your notebook. This ensures that you have the same image each time your models are run. You can invite your team members to join you in a shared space, and they will be able to work together in real-time. Or they can simply leave comments on a notebook. You can share your work with fine-grained access controls. You can allow others to read, edit, run, and share your work. This will facilitate collaboration and distribution. All notebooks can be saved and versioned automatically. An easy-to-use interface allows you to name, manage, roll back, and roll back all versions. You can also export seamlessly into Github. -
7
Channel
Channel AI
Ask any data question in plain English. Connect your database, ask a question, get an answer. You can get the answers you need even if you don't know SQL. Finally, you can self-serve your data insights. Simply query in plain English. Channel can help you understand the basics of your warehouse. Beautiful visualization. Channel automatically generates beautiful visualizations from your data and chooses the appropriate chart type based upon your preferences. Self-service, for real. Channel can be used by everyone, from product managers to analysts. You don't have to wait for the data you want. Answer the questions that you should be asking. Channel uncovers the insights you didn’t know you needed by analysing your warehouse in advance. Combine your knowledge. Channel learns from all questions it has ever asked and prompts you with the most important questions. Sharing definitions. Keep track of which terms are important to your organization. -
8
AI2sql
AI2sql.io
Engineers and non-engineers alike can create efficient, error-free SQL queries with AI2sql. Simply enter some keywords about your data and AI2sql will automatically create a SQL query that is optimized for your data. This results in extremely fast performance. We wanted to share some amazing numbers about AI2sql and what they have been able accomplish with it. It is essential to clearly define your goals, use the customization options, and test and verify the generated SQL in order to get the best results from AI2sql. To see if you get more efficient or accurate queries, you can change the input or prompts used to generate the SQL statements. -
9
AI Query
AI Query
$10 per monthAI will do the heavy lifting by using simple English. AI Query allows anyone to create efficient SQL queries without having to know anything about the database. With simple text prompts, you can quickly create SQL queries once your database schema has been created. Let the AI do all the work. -
10
Robust Intelligence
Robust Intelligence
Robust Intelligence Platform seamlessly integrates into your ML lifecycle to eliminate any model failures. The platform detects weaknesses in your model, detects statistical data issues such as drift, and prevents data from being inserted into your AI system. A single test is the heart of our test-based approach. Each test measures the model's resistance to a particular type of production model failure. Stress Testing runs hundreds upon hundreds of these tests in order to assess model production readiness. These tests are used to automatically configure an AI Firewall to protect the model from the specific types of failures to which it is most vulnerable. Continuous Testing also runs these tests during production. Continuous Testing provides an automated root cause analysis that identifies the root cause of any test failure. ML Integrity can be ensured by using all three elements of Robust Intelligence. -
11
TextQL
TextQL
The platform indexes BI and semantic layers, documents the data in dbt and uses OpenAI and linguistic models to provide self service power analytics. TextQL allows non-technical users to work with data quickly and easily by asking questions within their work contexts (Slack/Teams/Email) and receiving automated answers quickly and securely. The platform uses NLP and semantic layers including the dbt labs semantic layer to ensure reasonable solutions. TextQL's handoffs to humans analysts, when needed, simplify the entire question-to-answer with AI. Our mission at TextQL is to empower teams of business professionals to find the data they need in less than one minute. To achieve this, we assist data teams in surfacing and creating documentation for their data to ensure that business teams are able to trust that their reports will be up-to-date. -
12
Tantl
Tantl
To maintain privacy and security, only allow certain tables and columns. Tantl works with you to answer your data queries. The more you use it, the better it understands your data. -
13
UbiOps
UbiOps
UbiOps provides an AI infrastructure platform to help teams run AI & ML workloads quickly as reliable and secure Microservices without disrupting their existing workflows. UbiOps can be integrated seamlessly into your data-science workbench in minutes. This will save you time and money by avoiding the hassle of setting up expensive cloud infrastructure. You can use UbiOps as a data science team in a large company or a start-up to launch an AI product. UbiOps is a reliable backbone to any AI or ML services. Scale AI workloads dynamically based on usage, without paying for idle times. Instantly access powerful GPUs for model training and inference, enhanced by serverless, multicloud workload distribution. -
14
SAVVI AI
SAVVI AI
Savvi is a powerful tool that can help you solve business challenges quickly and easily. Increase operational efficiency and empower your team for success. Start with the decision, prediction or recommendation that you would like to automate using AI. With a single line of code, you can easily integrate existing data into your app or run a cold start on data. Savvi manages your AI App from start to finish. Define your prediction or decision options. Identify business goals. Savvi collects data, trains ML models, builds your objective functions, and deploys your AI App. Savvi will learn continuously to improve according to your goals. Savvi will securely collect data and train a ML model from your product in less than few weeks. Savvi code can be dropped in and you're ready to go. You don't need to start with a data architecture project in order to use AI. -
15
HuLoop
HuLoop
Get data-driven advice on your people, processes and technologies. Automate complex business processes across disparate systems, data and systems. Automate repetitive tasks for testing that are difficult to perform manually. HuLoop platform creates intelligent agents to perform repetitive tasks that your people shouldn't be doing. HuLoop's digital agents can reduce costs, increase productivity, and improve job satisfaction for employees across your organization. It helps you to see, understand and change your capabilities as well as how your people and processes interact. Automation and orchestration across disparate systems, data and systems of complex business processes. This reduces human dependency. Controls and executes test and verifies expected results. Automates repetitive tasks, and performs tests that are difficult to perform manually. -
16
Fluent
Fluent
AI allows you to self-serve the data insights of your company. Fluent is an AI data analyst that helps you explore data and discover the questions you should ask. Fluent does the rest. No learning curve or complicated interface. Just type in your question, and Fluent will take care of the rest. Fluent helps you clarify your question so that you can get the insights you need. Fluent helps you uncover the questions that you should be asking in order to get the most out of your data. Fluent allows you to build a shared understanding about your data with real-time collaborative tools and a data dictionary. No more silos or confusion. No more disagreements about how to define revenue. Fluent integrates seamlessly with Slack and Teams so you can access data insights without having to leave your chat. Fluent provides a verifiable result with a visual representation of the exact SQL path and AI logic behind each query. Curate tailored datasets, with clear usage guidelines and a quality control system to enhance data integrity and access. -
17
CodeSquire
CodeSquire
You can quickly write code by translating your comments to code. This example shows how you can quickly create a Plotly Bar chart. You can quickly create entire functions without needing to search for parameters or library methods. This example shows how to load df from AWS bucket in parquet format. CodeSquire will allow you to create SQL queries. All you need to do is provide simple instructions about what you want to pull and join. CodeSquire can help you understand code from another person. Simply ask CodeSquire to explain the function and get your explanation in plain English. CodeSquire can help with complex functions that require multiple logic steps. You can brainstorm with it by starting small and adding more complex features along the way. -
18
impaction.ai
Coxwave
Discover. Analyze. Optimize. Use [impaction.ai]’s intuitive semantic search to easily sift conversational data. Type 'find me conversation where ...', and let our engine handle the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations and highlights key trends. It can even recommend which dialogues you should pay attention to. Take data-driven action to improve user engagement and create a smarter and more responsive AI product. Columbus is not only a great source of information, but also offers suggestions on how to improve the situation. -
19
Align AI
Coxwave
Discover. Analyze. Optimize. Align AI's intuitive search allows you to quickly and easily sort through conversational data. Type 'find me conversation where ...', and let our engine handle the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations and highlights key trends. It can even recommend which dialogues you should pay attention to. Take data-driven action to improve user engagement and create a smarter and more responsive AI product. Columbus is not only a great source of information, but also offers suggestions on how to improve the situation.