SkySQL Serverless Analytics Powered by Apache Spark SQL

SERVERLESS ANALYTICS POWERED BY
APACHE SPARK SQL

The fastest way to make your SkySQL databases available to developers, analysts, data scientists and engineers, via a popular modern analytics layer, Spark SQL. Integrate any other data, structured or unstructured, from sources like S3 and formats like Parquet, Avro, CVS, etc. Harness cloud economics with the separation of compute and storage for cost efficient, serverless use while offering massive analysis capacity for interactive and collaborative analytics.

Zeppelin Notebooks

SkySQL Notebook powered by Apache Zeppelin empowers your cross-functional teams to quickly spin up and perform data-driven, interactive data analytics with SQL, Python, Java, Scala and R.

Reduce Data Preparation

Rapidly perform bulk ingestion, join and analyze disparate data sources with different formats including JSON, Hive, ORC, Avro, Parquet, CSV and many others without ETL.

Massive Scale

Quickly and affordably scale analytics using Apache Spark on Kubernetes orchestrated compute pools (clusters) as a distributed SQL engine. Pay only for what you use without the need for DBA or IT skills.

Apache Spark SQL

Embed SQL queries and ad hoc analytics into Spark programs, seamlessly switching back and forth between APIs and programming languages, returning results as structured datasets.

Broad Connectivity

Inherits all MariaDB and SkySQL connectivity plus Apache Spark BI reporting and visualization tool vendor support via JDBC and ODBC drivers.

See What's New in SkySQL Try Serverless Analytics

real-world analytics use cases

MariaDB SkySQL with serverless analytics powered by Apache Spark SQL empowers cross-functional teams to rapidly and affordably start small and scale up analytics projects covering a range of use cases across various industries.

Financial Services

Analyze millions of quotes for trading in tens of milliseconds to estimate price point, profitability and risk.

Healthcare Analytics

Analyze disparate and diverse data across multiple database instances and increase query performance to support massive datasets.

Retail

Analyze customer behavior for retail use cases such as cross-sell/up-sell, customer loyalty and churn.

Manufacturing

Analyze ERP and IoT data to predict points of component and systems failure thereby increasing uptime and reducing maintenance costs.

Modern Analytics Capabilities

Standard SQL

Analyze large amounts of data with standard SQL, including joins with other tables (row or columnar).

Spark connectors and interpreters

Use Spark connectors and interpreters to ingest data and publish machine learning results for interactive, ad hoc analysis.

Interactive notebooks

Bring together different skills sets and programming languages into a single interactive and collaborative environment with multiple backends.

Core Components

SkySQL Notebooks powered by Apache Zeppelin: Single user, by project and a persistent jump point to spin up serverless analytics instances.
SkySQL administration: Fully managed cloud data service provides a la carte MariaDB databases as services for data exploration and analytics with serverless analytics from a single pane of glass for monitoring, management and execution of serverless compute pools.
SkySQL data services: Support for semi-structured data mapping, federated query for joins across disparate data including all SkySQL resident databases, S3 and GCS cloud storage, remote databases, warehouses, lakes and web services.
SkySQL analytics services: Workload analytics including a smart query optimizer coupled with parallel compute pool connection to turbo boost performance.

Serverless analytics with MariaDB and Apache Spark