what is StreamLab?
the streamapp builder
Guavus SQLstream is equipped with StreamLab, a graphical interface that allows everyone to build, test and deploy streaming applications in minutes without the need to write code.
StreamLab uses a simple 1-2-3 model that allows for an easy-to-build, easy-to-manage data cycle. Hints-based guided exploration, complex analysis, and output to live applications or data storage happen concurrently, continuously, and in real time.
In The Forrester Wave™: Streaming Analytics, Q3 2017 report, StreamLab brought us a top score in PRODUCTIVITY.
Through the StreamLab interface, you can easily discover and direct data to s-Server for processing. Data can be streamed from a log file, a Kafka topic, Kinesis, a network socket, an AMQP message, etc.
A range of different sources can be added, including:
StreamLab can be used to run concurrent operations (such as integration, filtering, parsing, enriching, transformation, windowing, correlation, time-based and geospatial queries), through:
Processed data is visualized in real time through StreamLab dashboards that can be built or updated ad-hoc while the system is running. Generating dashboards is easy and flexible, and can be done using Scripts, the Basic Dashboard command, or the Custom Dashboard command.
Custom dashboards can include the following:
Modifying dashboards is easy, with options to:
StreamLab can be used to direct results to data stores for further use, and/or push data into live third-party executions (consumer applications, control systems, etc.), through the following types of external sinks:
Intelligent formatting rules are applied automatically for common data source formats. Rulesets ensure that the data is structured correctly and common fields such as timestamps, IP addresses and geospatial coordinates identified correctly.
StreamLab’s graphical data stream browser allows analysts to view incoming data streams in real time and to enhance them via transformation rules. For example, an analyst can apply formatting and field identification rules, and save the output as a new Blaze stream. The Suggestions Tool identifies likely formatting and structuring issues and offers advice on how to correct any problems.
Real-time dashboards based on SQLstream s-Dashboard provide push-based, continuous visualization of real-time alerts and analytics. Dashboards include line graphs, bar charts, maps and text reports.
READY TO GIVE IT A TRY?
SQLstream Blaze is free to download and use up to 1GB/day (after which it throttles).
Guavus SQLstream’s mission is to make real-time stream analytics easy to use and own with a one-stop-shop solution that performs the best, has the widest footprint, never turns off, and can be developed and customized by data scientists and engineers alike.
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