Average Ratings 0 Ratings
Average Ratings 20 Ratings
Similar Products
-
Google Cloud BigQueryBigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
-
CouchbaseCouchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Couchbase connects and mobilizes your data, so you can power peak experiences, harness the power of AI and scale globally—all with less risk and lower overhead.
-
SCIKIQSCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years. Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE. SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace. What makes SCIKIQ different is Contextual Intelligence. SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents. Why enterprises choose SCIKIQ AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming Proven production deployments across Manufacturing retail, airlines, logistics, BFSI
-
AnalyticsCreatorAnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
-
Bright DataBright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions. With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists. What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.
-
DataBuckBig Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
-
Gemini Enterprise Agent PlatformGemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
-
RunpodRunpod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, Runpod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, Runpod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
-
DenodoDenodo is a logical data management platform built to help enterprises unify, govern, and deliver trusted data across complex technology environments. It connects data from cloud, on-premises, SaaS, third-party, and multi-cloud systems without copying or duplicating the information. The platform gives organizations a single trusted view of distributed data, helping analytics teams, business users, and AI agents access current information more efficiently. Denodo supports trustworthy agentic AI by combining live data access with business semantics, centralized governance, compliance controls, and lineage. Its self-service data marketplace allows users to find, prepare, and use governed data while reducing dependence on IT teams. The platform also supports natural language search, personalized data delivery, and role-specific views so users can get data with the right business meaning. Denodo helps organizations improve data lakehouse investments by giving teams optimized access to data beyond a single repository. Its real-time delivery capabilities help operations, analytics, and AI systems make decisions based on current information instead of stale copies. By reducing integration time and improving time-to-insight, Denodo gives enterprises a trusted data foundation for AI, analytics, and digital transformation.
-
RaimaDBRaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
Description
The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.
Description
Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Aleph
Yes
Ascend
Yes
DataGalaxy
Yes
DataHub
Yes
DataMarket
Yes
EZConvertBI
Yes
GetDot.ai
Yes
Hevo
Yes
Kana
Yes
Lyftrondata
Yes
Integrations
Aleph
Yes
Ascend
Yes
DataGalaxy
Yes
DataHub
Yes
DataMarket
Yes
EZConvertBI
Yes
GetDot.ai
Yes
Hevo
Yes
Kana
Yes
Lyftrondata
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
Looker (Google Cloud core) offer three platform editions:
Standard: A Looker (Google Cloud core) product for small organizations or teams with fewer than 50 users that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 1,000 query-based API calls per month, and up to 1,000 administrative API calls per month.
Enterprise: A Looker (Google Cloud core) product with enhanced security features for a wide variety of internal BI and analytics use cases that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 100,000 query-based API calls per month, and up to 10,000 administrative API calls per month.
Embed: A Looker (Google Cloud core) product for deploying and maintaining external analytics and custom applications at scale that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 500,000 query-based API calls per month, and up to 100,000 administrative API calls per month.
Standard: A Looker (Google Cloud core) product for small organizations or teams with fewer than 50 users that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 1,000 query-based API calls per month, and up to 1,000 administrative API calls per month.
Enterprise: A Looker (Google Cloud core) product with enhanced security features for a wide variety of internal BI and analytics use cases that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 100,000 query-based API calls per month, and up to 10,000 administrative API calls per month.
Embed: A Looker (Google Cloud core) product for deploying and maintaining external analytics and custom applications at scale that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 500,000 query-based API calls per month, and up to 100,000 administrative API calls per month.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Databricks
Founded
2013
Country
United States
Website
databricks.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/looker/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
Yes
For Sales
Yes
For eCommerce
Yes
Image Recognition
No
Machine Learning
Yes
Multi-Language
Yes
Natural Language Processing
Yes
Predictive Analytics
Yes
Process/Workflow Automation
Yes
Rules-Based Automation
Yes
Virtual Personal Assistant (VPA)
No
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
Yes
Predictive Analytics
Yes
Templates
Yes
Business Intelligence
Ad Hoc Reports
Yes
Benchmarking
Yes
Budgeting & Forecasting
Yes
Dashboard
Yes
Data Analysis
Yes
Key Performance Indicators
Yes
Natural Language Generation (NLG)
Yes
Performance Metrics
Yes
Predictive Analytics
Yes
Profitability Analysis
Yes
Strategic Planning
Yes
Trend / Problem Indicators
Yes
Visual Analytics
Yes
Dashboard
Annotations
Yes
Data Source Integrations
Yes
Functions / Calculations
Yes
Interactive
Yes
KPIs
Yes
OLAP
Yes
Private Dashboards
Yes
Public Dashboards
Yes
Scorecards
Yes
Themes
Yes
Visual Analytics
Yes
Widgets
Yes
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
Yes
Regression Analysis
Yes
Sentiment Analysis
Yes
Statistical Modeling
Yes
Text Analytics
Yes
Data Fabric
Data Access Management
Yes
Data Analytics
Yes
Data Collaboration
Yes
Data Lineage Tools
Yes
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
Yes
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
Yes
Deletion Management
Yes
Email Management
No
Policy Management
No
Process Management
No
Roles Management
Yes
Storage Management
Yes
Data Lineage
Database Change Impact Analysis
Yes
Filter Lineage Links
Yes
Implicit Connection Discovery
Yes
Lineage Object Filtering
Yes
Object Lineage Tracing
Yes
Point-in-Time Visibility
Yes
User/Client/Target Connection Visibility
Yes
Visual & Text Lineage View
Yes
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
Yes
Information Governance
Yes
Master Data Management
Yes
Match & Merge
Yes
Data Science
Access Control
Yes
Advanced Modeling
Yes
Audit Logs
Yes
Data Discovery
Yes
Data Ingestion
Yes
Data Preparation
Yes
Data Visualization
Yes
Model Deployment
Yes
Reports
Yes
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
Yes
Relational Display
Yes
Simulation Models
Yes
Visual Discovery
Yes
Data Warehouse
Ad hoc Query
Yes
Analytics
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
Yes
Match & Merge
Yes
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Product Features
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
No
High Volume Processing
Yes
No-Code Sandbox
Yes
Predictive Analytics
No
Templates
Yes
Business Intelligence
Ad Hoc Reports
Yes
Benchmarking
Yes
Budgeting & Forecasting
Yes
Dashboard
Yes
Data Analysis
Yes
Key Performance Indicators
Yes
Natural Language Generation (NLG)
No
Performance Metrics
Yes
Predictive Analytics
No
Profitability Analysis
Yes
Strategic Planning
Yes
Trend / Problem Indicators
Yes
Visual Analytics
Yes
Business Performance Management
Ad Hoc Reports
Yes
Ad hoc Analysis
Yes
Budgeting & Forecasting
Yes
Consolidation / Roll-Up
No
Dashboard
Yes
Key Performance Indicators
Yes
Predictive Analytics
No
Qualitative Analysis
No
Quantitative Analysis
Yes
Scorecarding
No
Strategic Planning
No
Dashboard
Annotations
Yes
Data Source Integrations
Yes
Functions / Calculations
Yes
Interactive
Yes
KPIs
Yes
OLAP
Yes
Private Dashboards
Yes
Public Dashboards
Yes
Scorecards
Yes
Themes
Yes
Visual Analytics
Yes
Widgets
Yes
Data Analysis
Data Discovery
No
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
Yes
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
Yes
Data Visualization
Analytics
Yes
Content Management
Yes
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
Embedded Analytics
Ad hoc Query
Yes
Application Development
Yes
Benchmarking
Yes
Dashboard
Yes
Interactive Reports
Yes
Mobile Reporting
Yes
Multi-User Collaboration
Yes
Self Service Analytics
Yes
Streaming Analytics
Yes
Visual Workflow Management
Yes
Marketing Analytics
A/B Testing
No
Campaign Management
No
Channel Attribution
No
Customer Journey Mapping
No
Dashboard
Yes
Performance Metrics
Yes
Predictive Analytics
Yes
ROI Tracking
Yes
Social Media Metrics
Yes
Website Analytics
Yes
Reporting
Customizable Dashboard
Yes
Data Source Connectors
No
Drag & Drop
Yes
Drill Down
Yes
Email Reports
No
Financial Reports
Yes
Forecasting
Yes
Marketing Reports
Yes
OLAP
No
Report Export
Yes
Sales Reports
Yes
Scheduled / Automated Reports
Yes
Sales Analytics
Collaboration Tools
No
Dashboards
Yes
Forecasting Analytics
Yes
Ideal Customer Profile (ICP)
No
Lead Analytics
No
Pipeline Management
No
Predictive Forecasting
Yes
Predictive Lead Scoring
Yes
Sales Intelligence Reporting
Yes
Web Analytics
Campaign Management
Yes
Conversion Tracking
Yes
Form Analytics
No
Goal Tracking
Yes
Keyword Tracking
Yes
Multiple Site Management
No
Pageview Tracking
No
Referral Source Tracking
Yes
Site Search Tracking
Yes
Time on Site Tracking
Yes
User Interaction Tracking
Yes
