Thrilling information! We have seamlessly built-in MotherDuck with GoodData, drawing upon our intensive expertise with various databases and rigorously testing to make sure top-notch efficiency and effectivity.

What are DuckDB and MotherDuck?

DuckDB is an in-process on-line analytical processing database (OLAP), providing a lightning-fast, feature-rich, open-source database. It could possibly effortlessly function throughout numerous programming languages, together with internet browsers.

MotherDuck takes this a step additional, remodeling DuckDB right into a service with added options. These embrace seamless connection by means of customary protocols, and optimizing SQL executions with a singular hybrid execution idea.

Take a look at our engineer-focused article for a extra in-depth have a look at what DuckDB and MotherDuck can do.

How MotherDuck and GoodData are making a splash

Comparative exams have revealed that MotherDuck outperforms opponents, delivering sooner outcomes and excelling in low latency and excessive concurrency eventualities. This makes it a dependable selection for organizations aiming to optimize their analytics workflows with sooner question outcomes and effectivity in dealing with giant information units.

Strategic funding for decrease prices

Count on considerably decrease Complete Value of Possession (TCO), not simply because MotherDuck is a brand new participant out there, but in addition due to the inherent effectivity of the engine itself. This integration is a strategic funding for companies in search of innovation and effectivity of their information analytics journey.

With its simple pricing mannequin, MotherDuck brings simplicity and transparency, avoiding the complexities seen in different options. In contrast to Snowflake’s minute-based pricing, MotherDuck’s serverless structure affords a extra predictable method, charging customers based mostly on the information quantity they retailer or course of.

Seamless integration with GoodData’s semantic layer

MotherDuck seamlessly integrates with GoodData’s semantic layer, which acts as an abstraction of the bodily information, and decouples finish customers from the generally complicated back-end logic. The semantic layer gives a higher-level metric language, enabling clean migration between database engines.

MotherDuck simplifies the transition for GoodData customers migrating from platforms like Snowflake, BigQuery, or Redshift. The cloning of workspaces is a seamless course of as customers can effortlessly join them to the MotherDuck information supply, enabling parallel testing. This stage of flexibility underscores MotherDuck’s dedication to delivering an answer that’s each environment friendly and user-centric, empowering organizations to easily adapt and evolve their information ecosystems.

Who can profit from the GoodData and MotherDuck integration?

For those who’re questioning if this integration aligns along with your analytics objectives, see if you’ll find your self within the following eventualities:

• You wish to ship analytics over small to midsized datasets to an unlimited consumer base with remarkably low latencies (in contrast to typical cloud-based Knowledge Warehousing choices).
• You wish to future-proof efficiency, whereas successfully managing prices.

Strive the combination for your self

For those who’re curious about making an attempt GoodData with MotherDuck, you’ll be able to register for our labs atmosphere right here. Alternatively, get a free trial to see GoodData in motion.