Learn more about how Industry 4.0 and IoT are transforming the way we access and analyze data.
Today’s IoT deployments are challenged to operate at high speeds, and with fewer resources. They generate large volumes of data on a continuous basis, that must be ingested, and processed with high throughput to deliver actionable insights instantly.
Current IoT cloud solutions cannot keep up. See why edge computing is a must have when it comes to any company's IoT strategy.
HarperDB's dynamic schema allows for performant and scalable data warehousing on unstructured data.
Consume unstructured and structured sensor data into a single model, and perform real-time analytics without transformation or data mapping while using your favorite business intelligence tools and our analytics drivers for JDBC, ODBC, Excel,
HarperDB offers full NoSQL CRUD with features that are unique to HarperDB like joins, advanced math, and multiple conditions. HarperDB offers full CRUD operations via SQL like any traditional RDBMS which is intended to accommodate application and BI use cases. This allows ingestion of data via standard SQL INSERT & UPDATE as well as offering complex SQL queries with no performance impact on unstructured data. Joins, multiple operators, and multiple conditions are possible in sub-second time.
While any product can be fully indexed, HarperDB is fully indexed without utilizing RAM or data duplication. This avoids out of memory exceptions and row locking. No configuration is required. This means that you can run the reports and dashboards you want, without needing a DBA to add new indexes or configure new views.
Don't want to learn a new version of SQL? Don't worry, HarperDB supports ANSI SQL on unstructured data with joins, multiple