The most efficient, sovereign & unified "on-premise" data platform available today.
Think about the Azure data platform, but on steroids and 100% Sovereign.
TIMi is an ethical solution:
Zero Lock-In: We gain your trust through exceptional performance and service, not artificial vendor lock-in
Fair price & No hidden fees & No price hikes
TIMi is a leader in these fields:
Data Preparation/ETL/BPA/BPM/ESB
- automate the most complex tasks without code
- Connect to everything: Sharepoint, SAP, Salesforce, Facebook, GAds, etc.
BigData
- 1 TIMi-server is faster than 267 Spark-servers
- Process any volumetry at negligible infrastructure cost. Process billions of rows in a matter of seconds on a standard 2K€ server.
- manage peta-byte Data Lakes
AI/ML: We invented the 1st Auto-ML tool in 2007
TIMi is a horizontal solution used in any industry: Manufacturing, Telecoms, Banks, Supermarket chains, Defense, Gov.
Also available in EU-hosted sovereign cloud.
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SCIKIQ Data Fabric makes enterprise data AI-ready, without rebuilding the data stack, In weeks and months or years SCIKIQ is an AI-native Data & Intelligence Platform that helps enterprises connect, contextualize, govern and activate their data for analytics, Generative AI and intelligent agents. Instead of adding another disconnected tool, SCIKIQ creates a unified intelligence layer across the technology you already use from SAP, Oracle and Salesforce to Snowflake, Databricks, cloud platforms, data lakes and enterprise applications.
The result is trusted, contextualized and AI-ready enterprise data — in weeks, not years. What makes SCIKIQ Data Fbric different is its ability to bring the entire data-to-AI journey into one platform. Data integration, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, conversational analytics, AI/ML, data products and AI agents work together rather than as separate tools.
At the heart of SCIKIQ is Contextual Intelligence. SCIKIQ connects technical metadata with business definitions, KPIs, ownership, relationships and rules so that people and AI understand what enterprise data actually means. This semantic foundation helps create more trusted analytics and better-grounded AI responses.
Business users can simply ask questions of their enterprise data in natural language, explore KPIs and root causes, and receive contextual answers without depending on SQL or waiting for another report.
For data and technology teams, SCIKIQ provides a governed foundation with 200+ connectors, active metadata, multi-hop lineage, data quality, role-based governance and multi-cloud support across AWS, Azure, GCP, hybrid and on-prem environments, and you don't have to rip and replace your existing investments. SCIKIQ works with your stack, not against it.
SCIKIQ is already trusted in production by leading enterprises across the USA, India and UAE, including organizations such as American Express, London Stock Exchange Group, Landmark Group and EFS. Its solutions have also been delivered alongside global technology and consulting ecosystems including AWS, Microsoft Azure, Deloitte, EY, Infosys and Tech Mahindra.
SCIKIQ has been recognized by Forrester, NASSCOM, YourStory, Inc42 and DataIQ, providing independent validation of its innovation in enterprise data and AI.
If your enterprise already has data but is struggling to turn it into trusted AI, SCIKIQ is where that journey begins
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Delta Lake
Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. Data lakes typically have multiple data pipelines reading and writing data concurrently, and data engineers have to go through a tedious process to ensure data integrity, due to the lack of transactions. Delta Lake brings ACID transactions to your data lakes. It provides serializability, the strongest level of isolation level. Learn more at Diving into Delta Lake: Unpacking the Transaction Log. In big data, even the metadata itself can be "big data". Delta Lake treats metadata just like data, leveraging Spark's distributed processing power to handle all its metadata. As a result, Delta Lake can handle petabyte-scale tables with billions of partitions and files at ease. Delta Lake provides snapshots of data enabling developers to access and revert to earlier versions of data for audits, rollbacks or to reproduce experiments.
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