Spire scales linearly in both the volume of data and the number of users, supporting massive data and massive user concurrency in real-time. And, unlike many other Big Data solutions, Spire provides a familiar application interface with SQL.
For “Hadoop-sized” data, Spire fills-in the missing pieces of your data workflow. Spire is Big Data, real-time and easy to use.
Big Data
Spire is built on Hadoop + HBase, the most scalable and reliable foundation for Big Data. Spire is 100% distributed, easily handling any volume of data and any number of users.
Hadoop is a great foundation, and Spire goes far beyond with a revolutionary distributed index that gives real-time performance – in-bound and out-bound. And, HBase is a proven enterprise-grade data store. Based on Google’s BigTable model, HBase is capable of storing and serving data at massive scale.
Because it easily handles data of any size, Spire makes applications much more scale-free.
Real-time
Spire is the only full-featured database with a truly distributed index. Unlike sharded databases (with their sharded indexes) that run queries on every node and then aggregate the results, with big hits to performance and flexibility, Spire queries are “single-path” and quickly run on only the nodes that have the requested data.
Real-time, distributed indexing is integral to Spire, producing results in milliseconds (instead of minutes or longer) against even the largest datasets. Spire enables true real-time Big Data applications that support millions of events and users.
Easy to use
Spire brings the familiarity and flexibility of SQL to massive datasets. Unlike other Big Data systems, Spire does not require sharding, custom query algorithms or knowing the details of how your data is stored.
Spire also integrates full-text search, so you can combine data of any format into a single, integrated database. And, Spire supports in-database, real-time MapReduce, giving you the total flexibility and control you need to access and use your data exactly the way you want.
Spire's RESTful APIs, JSON objects and support for JDBC make it a web-ready, real-time database for any Big Data application.