Tengu Description
TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster.
It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace.
It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.
Tengu Alternatives
Big 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.
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Denodo 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.
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SCIKIQ 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
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MANTA
Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows.
Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.
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Pricing
Pricing Information:
Qrama offers 2 variants of the Tengu platform license: TENGU.CORE and TENGU.PLUS.
The platform offered is identical, but TENGU.CORE users are responsible for hosting on a public cloud provider, while TENGU.PLUS users enjoy hosting by Qrama on Google cloud.
Next to this, users of TENGU.PLUS can rely on extended support and free onboarding.
The platform offered is identical, but TENGU.CORE users are responsible for hosting on a public cloud provider, while TENGU.PLUS users enjoy hosting by Qrama on Google cloud.
Next to this, users of TENGU.PLUS can rely on extended support and free onboarding.
Integrations
Company Details
Company:
Tengu
Year Founded:
2016
Headquarters:
Belgium
Website:
www.tengu.io
Media
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Product Details
Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Live Training (Online)
In Person
Training Videos
Customer Support
Business Hours
Online Support
Tengu Features and Options
Data Management Software
Data Analysis
Data Capture
Data Integration
Data Migration
Information Governance
Master Data Management
Match & Merge
Data Fabric Software
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Continuous Integration Software
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Permission Management
Testing Management
Master Data Management Software
Data Governance
Data Masking
Data Source Integrations
Metadata Management
Process Management
Relationship Mapping
Visualization
Big Data Platform
Collaboration
Data Cleansing
Data Mining
Data Warehousing
High Volume Processing
No-Code Sandbox
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