Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on big data solutions. As there is a large number of startups working on a wide variety of solutions, we want to share our insights with you. This time, we are taking a look at 5 promising data warehousing solutions.
Heat Map: 5 Top Data Warehousing Solutions
Using our StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally, we looked at innovation in the field of big data. For this research, we identified 579 relevant solutions and picked 5 to showcase below. These companies are chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. Depending on your specific criteria, the top picks might look entirely different.
The Global Startup Heat Map below highlights 5 startups & scaleups developing innovative data warehousing solutions. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 579 companies we analyzed for this specific topic.
Panoply – Cloud Data Platform
Data warehousing is an important component of business intelligence (BI) for startups and companies and also impacts data reporting and analysis. As data warehouses migrate to the cloud, businesses need to invest significantly in hardware or server rooms to benefit from data warehousing. Cloud-based data warehouses make adding more storage or other integrations, as and when required, very convenient.
Panoply is a US-based startup that develops a cloud data platform. The cloud warehouse comes with extract-transform-load (ETL) integrations and provides a top-tier data infrastructure. The solution also syncs data from a variety of cloud software, replicates relational databases, and transforms not only structured query language (NoSQL) data, from multiple datasets, into relational tables.
Inka – Real Estate Data
Data warehouses enable the synthesis of data from multiple channels in a unified reporting database to provide business insights. The output is generally in the form of reports, analytics, or key performance indicator (KPI) dashboards. For the real estate industry, data sources include property management systems and social marketing, among others. Data warehousing further allows real estate startups to analyze vacancy, optimize rent, and provide better customer service.
Finnish startup Inka offers a data warehousing solution for key business data. Inka combines the affordability of data lakes with the computing power of data warehouses in a single system. The startup’s solution enables data storage, analysis, as well as data management from, and about, real estate properties. This real estate data platform also includes a web application for the convenient creation of data streams.
Artifact – Qualitative Data
Qualitative data is non-numeric and subjective, including data from interviews or recorded speech. Many companies collect vast amounts of qualitative data that need to be processed before performing analytics. Data warehouses interpret this information to find meaningful insights that help businesses improve their services.
Artifact is a US-based startup that provides warehousing solutions for qualitative data to support crucial stages of the customer’s value chain. Artifact uses machine intelligence to discover patterns and insights from customer voice samples. The startup then finds relevant insights from large amounts of conversational data to enable companies to better optimize their services.
Dataform – Scalable Analytics
While many startups understand the growing importance of artificial intelligence (AI) and advanced analytics, enterprise hardware continues to remain very expensive. Since cloud-based solutions enable easy setup and scalability, data warehousing offers a way for startups and scaleups to tap into big data analytics. Scalable analytics also ensures that companies are able to add data warehousing capacities easily and in a cost-effective manner.
British startup Dataform offers a scalable data warehousing platform for big data and analytics teams. The startup’s solution enables entire data teams to develop, test, deploy, and share a centralized data model. Dataform automatically runs the customers’ pipelines to ensure their data warehouses are always up-to-date. This solution turns raw data from all data processes in the warehouse into analytics-ready datasets.
ThinkCol – Data Visualization
Data visualization is a powerful technique that condenses enterprise data from different sources to provide easy-to-consume insights. Startups gather information from data warehouses, data marts, and data lakes for creating comprehensive data visualization. These solutions reduce the time-to-market for products. Visualization of data also allows companies to quickly identify market trends and increase operational efficiency.
ThinkCol is a Chinese startup that provides solutions for predictive modeling, data warehousing, and data visualization. The startup’s team of in-house scrapers gather high-quality data to provide various business insights. The startup also offers services for data labeling and data enrichment.
What About The Other 574 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence and enable you to achieve your goals faster. The 5 data warehousing solutions showcased above are promising examples out of 579 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.
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