Technologies
We don’t reinvent the wheel, but we do rebuild it for each of our customers using exactly the right technologies. We rely on proven tools and methods and new developments that our engineers have checked intensively and critically in advance.
Cloud Service Provider
Microsoft Azure
Local, hybrid, multi-cloud, or edge: With Azure, we develop forward-looking cloud solutions in all sectors. We are a Microsoft Gold Partner and certified in the areas of architecture, data engineering, and machine learning.
Google GCP
With Google Cloud Services, it is possible to develop applications faster, make more intelligent business decisions, and network people everywhere. Our Google-certified cloud engineers and architects will be glad to help you with this.
Amazon AWS
For organizations of all sizes and in all industries, the broadest selection of data analytics services opens up the possibility of reinventing businesses with data.
Special services for data relocation, data storage, data lakes, Big Data analyses, log analyses, streaming analyses, and machine learning (ML), and everything in between.
Enterprise Data Plattform
Cloudera
The Cloudera data platform is based on proven Hadoop open source technologies, so it is unique in the world. Available on-premise in the private or public cloud, Cloudera lets you save, analyze, and operate data effortlessly.
Databricks
The Databricks Unified Analytics Platform, which came originally from the developers of Apache Spark™, unites data science and data development across the entire machine learning life cycle – from data preparation to experimentation and provision of ML applications.
Snowflake
This user-friendly solution provides the necessary performance, flexibility, and nearly unlimited scalability in order to load, integrate, analyze, and share your data easily and securely, including a nearly unlimited number of parallel workloads.
Machine Learning
Modulos
The data-centered AI platform revolutionizes the creation of trustworthy AI applications. System-guided recommendations help companies on their AI journey to create reliable ML models cost-efficiently in their own areas of specialty.
Enterprise data integration
Starburst
Starburst is the analysis engine for data mesh. With Starburst, teams reduce the total costs of their infrastructure and analytics investments, prevent vendor lock-ins, and use existing, suitable tools. Starburst helps companies make better decisions more quickly, decisions that are based on all data. Companies such as Comcast, FINRA, and Condé Nast already rely on these solutions.
Qlik Data Integration
Qlik plays a pioneering role with regard to the availability of heterogeneous data: Faster data transmission and availability, automated data preparation for analyses, and clever data management let you extract greater benefits from more data and save time and money at the same time.
Data preparation, analytics & visualization
Trifacta
Trifacta’s mission is to bring data analysts’ productivity to a new level by making the bottleneck in the data life cycle – data wrangling – more intuitive and efficient.
NoSQL & real-time technology
Confluent
The event streaming platform that comes originally as open source format from the developers of Apache Kafka® and has been reinterpreted as an enterprise solution. Data streaming as event enables completely new possibilities for solving problems with high scaling.
Neo4j
Neo4j is the world’s leading graphics database with native graphics storage and processing, which, with its property graph model and its own cypher query language, ensure easy understanding of every graph problem.
Partners from industry, science, and research
HP Enterprise
HP develops its comprehensive, innovation-strategic portfolio in order to help organizations of any size with the transformation from traditional technology platforms to the IT systems of the future. Scigility and HP are working together to optimally advance digital transformation for customers.
Exascale Infolab
The cooperation with Exascale will allow us to remain an expert partner with the latest technologies even in the future. Thanks to cooperations with good industrial and academic partners, we contribute to the research and development of Big Data technologies.
We look forward to speaking with you.
Do you have questions about a case, would you like a quote, or to get to know us better?
Or are you a data scientist, an awesome coder or a passionate engineer searching for a brilliant team and cool challenges?
Regardless of what you need, we're here for you.
Scigility Switzerland AG
Europaallee 41
8004 Zürich, Switzerland
+41 44 214 62 89
contact@scigility.com
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