StreamLab
Intuitive real-time data wrangling
StreamLab is a visual platform for interactively exploring machine data streams and building real-time streaming apps without having to write any code. An intelligent suggestions engine supports users in building complete apps from ingestion to analysis and into action, by simply accepting suggestions made by StreamLab.
All of the execution takes place on s-Server, at massive scale, and deployment is immediate. With StreamLab, business analysts or Java, SQL, Python, or Scala developers can efficiently move from concept to real working application in minutes.
s-Server
Industry’s fastest streaming SQL engine: ANSI SQL+Java
Amazon Kinesis Analytics is based in part on certain technology components licensed from SQLstream: s-Server. s-Server is the only stream processor to use ANSI standards-compliant SQL for querying live data streams. Processing data at over 1M events/second per CPU core on benchmarks and at over 1M events/second per server on real-world applications, s-Server is the most powerful and scalable data processing platform available.
s-Server includes a suite of agents and adapters for machine data mediation and enterprise system/storage platform integration.
s-Dashboard
HTML5 platform for building push-based, real-time dashboards
s-Dashboard is an HTML5 platform for building push-based, real-time visualizations on s-Server. s-Dashboard enables developers to deploy real-time dashboards for streaming analytics on any device or channel, and is pre-configured with a standard set of panels, widgets, and dashboards.
s-Studio
Eclipse-based IDE (SQL and Java)
s-Studio is a stream inspection, application development, and administration console for the s-Server platform. s-Studio enables dynamic updates to live applications, adding new queries as needed or changing existing queries or views. s-Studio is built as a plug-in to the standards-compliant Eclipse framework.
Sources, Sinks, Connectors
Guavus SQLstream works with a broad array of already-implemented technologies to increase performance and provide continuous real-time support.
Guavus SQLstream is the ideal platform for processing streaming data on Apache Kafka. Use the visual StreamLab editor to sample live Kafka data and get direct feedback continuously throughout the application building process. Artificial intelligence guides you with automatic suggestions and dynamically generates streaming SQL code for optimal performance without coding errors. Build and deploy in days!
Analyze AWS Kinesis Streams
Deploy streaming analytics on-premise or in the cloud
Guavus SQLstream Adapter for Kinesis enables businesses to securely and cost-effectively ingest, analyze, and manage streaming data on and between cloud and on-premises environments.
$40k base annual subscription package includes 24×7 support and upgrades, plus $10k per server and $1k per core.
$40k
Add-ons: 10k/server, 1k/core
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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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