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SCIKIQ Data Fabric
SCIKIQ lists its India office at 7th Floor, AIHP Skyline, Plot 97A, Sector 32, Gurugram, Haryana 122001.
What it is
SCIKIQ Data Fabric is a platform for integrating, curating, governing, and activating enterprise data across environments. Its Connect, Control, Curate, and Consume framework covers data integration, profiling, curation, visualization, and API publication. A no-code, drag-and-drop interface is intended to let business teams work with data. The platform includes semantic knowledge graphs, active metadata management, embedded machine learning, lineage, and governance controls for ownership and permissions. SCIKIQ lists 200+ pre-built connectors, including SAP S/4HANA, Snowflake, Databricks, AWS, Salesforce, Oracle, and Kafka, and names GPT-4, Claude, and Gemini among the systems it works with. Connected sources can be queried in natural language, while curated data can be used in reports, dashboards, machine-learning sandpits, or APIs. SCIKIQ describes on-premises, private-cloud, multi-cloud, and hybrid deployment options. It says its Control capability can profile data and identify and resolve quality issues automatically. Pricing is on request: Basic allows up to 25 users and one stack; Standard up to 75 users and one to two stacks; Advanced up to 200 users and two to three stacks. Custom Enterprise lists unlimited users and stacks.
For and against
For
- Provides a no-code, drag-and-drop interface.
- Lists 200+ pre-built connectors.
- Supports natural-language queries of connected sources.
- Can publish curated data as APIs, reports, or dashboards.
- Supports hybrid deployment and data lineage.
Against
- Pricing is available on request.
- Basic is limited to 25 users and one stack.
- Listed plans specify different user and stack limits.
The verdict
SCIKIQ Data Fabric combines data integration, quality controls, governance, and multiple ways to consume curated data. Plans require a demo or sales contact, and their user and stack limits differ.
Who it suits
SCIKIQ describes the platform for mid-sized enterprises and business teams that need data access with IT governance and control. Its listed capabilities may also suit organizations combining data across on-premises, private-cloud, or multi-cloud environments.
Plans and prices
Advanced
Up to 200 users · 2–3 stacks · 8–12 weeks deployment
Read 5 Oct 2026 · scikiq.com
Basic
Up to 25 users · 1 stack · 4–6 weeks deployment
Read 5 Oct 2026 · scikiq.com
Custom Enterprise
Unlimited users and stacks · Phased global rollout
Read 5 Oct 2026 · scikiq.com
Standard
Up to 75 users · 1–2 stacks · 6–8 weeks deployment
Read 5 Oct 2026 · scikiq.com
On the record
- AI and metadata
- The platform page lists semantic knowledge graphs, active metadata management, and embedded machine learning as capabilities.scikiq.com · read 5 Oct 2026
- AI integrations
- The homepage lists GPT-4, Claude, and Gemini among the systems SCIKIQ works with.scikiq.com · read 5 Oct 2026
- AI use
- The Data Hub page says users can query connected sources in natural language and lists automated lineage, semantic enrichment, and role-based controls for AI prompts.scikiq.com · read 5 Oct 2026
- Capabilities
- Its 4C framework covers Connect, Control, Curate, and Consume, including data integration, governance, curation, visualization, and API publication.scikiq.com · read 5 Oct 2026
- Connectors
- SCIKIQ's homepage lists 200+ pre-built connectors and names SAP S/4HANA, Snowflake, Databricks, AWS, Salesforce, Oracle, and Kafka.scikiq.com · read 5 Oct 2026
- Consumption
- The platform can publish curated data as an API and provide reports, dashboards, and machine-learning sandpits.scikiq.com · read 5 Oct 2026
- Data capabilities
- The platform includes semantic knowledge graphs, active metadata management, and embedded machine learning.scikiq.com · read 5 Oct 2026
- Data quality
- SCIKIQ says its Control capability can profile data and identify and resolve data quality issues automatically.scikiq.com · read 5 Oct 2026
- Delivery speed
- SCIKIQ says its platform delivers a trusted, real-time enterprise data view in days or weeks instead of months or years.scikiq.com · read 5 Oct 2026
- Deployment
- The FAQ states that customers can host data on-premises or in a private cloud, and describes deployment in a customer trust network using a virtual private cloud.scikiq.com · read 5 Oct 2026
- Deployment environments
- SCIKIQ says its architecture supports multi-vendor, multi-cloud environments and describes on-premises, multi-cloud, or hybrid data management.scikiq.com · read 5 Oct 2026
- Governance
- SCIKIQ Control is described as providing asset discovery and cataloging, data profiling and quality issue resolution, and record-to-report lineage.scikiq.com · read 5 Oct 2026
- Industries
- SCIKIQ says it is used across manufacturing, telecom, healthcare, airlines, banking, supply chain, retail, and agriculture.scikiq.com · read 5 Oct 2026
- Integration sources
- The Data Hub page lists connectors for SQL Server, MySQL, PostgreSQL, Oracle, Teradata, DB2, SAP, Kafka, HTTP APIs, Snowflake, Amazon S3, CSV/Excel, and Dropbox.scikiq.com · read 5 Oct 2026
- Intended users
- The pricing page describes the platform as designed for mid-sized enterprises, while the company story says it aims to put enterprise data in business teams' hands with IT governance and control.scikiq.com · read 5 Oct 2026
- Interface
- The product page describes a no-code, drag-and-drop interface intended to let business teams work with data without stitching together organizational silos.scikiq.com · read 5 Oct 2026
- No-code interface
- The platform provides a no-code, drag-and-drop interface for business teams.scikiq.com · read 5 Oct 2026
- Plan limits
- The published plan comparison lists user and stack limits for Basic, Standard, and Advanced, with unlimited users and stacks for Custom Enterprise.scikiq.com · read 5 Oct 2026
