Does your company use multiple tools for data ingest, ETL, data processing, and multiple databases that each have their own specialty?
Because of the large data volume and the need for performance, companies are investing in expensive software or Hadoop-based architecture that involves even more systems and does not support SQL. The infrastructure overhead is too high and too expensive to meet the requirements.
MemSQL is a single, distributed relational database with the ability to scale out to meet all data needs. MemSQL allows companies to use the same database technology for the majority of solutions, allowing developers to use familiar SQL for multiple use cases.
Native pipelines allow for fast data ingest and supports all major data types, including relational, semi-structured, geo-spatial indexes, and full text indexes. Merging rowstore and columnstore tables into the next-gen SingleStore tables, MemSQL can support complex analytical workloads, as well as transactional and operational workloads.
Your database should be incredibly fast, secure, and allow you to scale with ease as your business grows. MemSQL's architecture is unique in its ability to provide all of these cost and time benefits while also providing disaster recovery with a single click.
MemSQL can handle real time ingestion of data, as well as extremely rapid querying on that same data simultaneously within one database..
MemSQL’s built in geospatial functions can help you unlock additional value with your location data without leaving the database.
In this video, SME's George Barrett and Brian Maucere discuss 4 main paint points that businesses struggle with.
Realize the full potential of your energy and utility data and redefine the limits of what is possible with a cloud-native, operational database built for speed and scale.
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