MotherDuck Integrations

Streamkap is a modern streaming ETL platform built on top of Apache Kafka and Flink, designed to replace batch ETL with streaming in minutes. It enables data movement with sub-second latency using change data capture for minimal impact on source databases and real-time updates. The platform offers dozens of pre-built, no-code source connectors, automated schema drift handling, updates, data normalization, and high-performance CDC for efficient and low-impact data movement. Streaming transformations power faster, cheaper, and richer data pipelines, supporting Python and SQL transformations for common use cases like hashing, masking, aggregations, joins, and unnesting JSON. Streamkap allows users to connect data sources and move data to target destinations with an automated, reliable, and scalable data movement platform. It supports a broad range of event and database sources.

PuppyGraph allows you to query multiple data stores in a single graph model. Graph databases can be expensive, require months of setup, and require a dedicated team. Traditional graph databases struggle to handle data beyond 100GB and can take hours to run queries with multiple hops. A separate graph database complicates architecture with fragile ETLs, and increases your total cost ownership (TCO). Connect to any data source, anywhere. Cross-cloud and cross region graph analytics. No ETLs are required, nor is data replication. PuppyGraph allows you to query data as a graph directly from your data lakes and warehouses. This eliminates the need for time-consuming ETL processes that are required with a traditional graph databases setup. No more data delays or failed ETL processes. PuppyGraph eliminates graph scaling issues by separating computation from storage.

Orb was designed with flexibility in mind. Our unique architecture separates the way your product works from how you price it, so that you can easily evolve. Orb accelerates the engineering velocity to ensure you launch on time. Now, your team can focus on the core product instead of billing. Orb is the single source of truth for your billing needs. Our powerful workflows bring your finance and engineering teams together. Orb is designed for businesses who need to be flexible with their pricing. Our unique model allows you to bill on consumption, seats, and anything in between. Try out different value metrics, and offer custom-negotiated discounts and extras. Orb covers all your needs, from PLG to SLG. Orb lets you approach revenue in a modern way. Our architecture decouples product logic from billing logic, so you can experiment with new pricing and optimize revenue. Connect product usage Direct billing

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

Processing and storage of tabular datasets, e.g. CSV or Parquet files. Large result set transfer to client. Large client/server installations are required for central enterprise data warehousing. Multiple concurrent processes can be used to write to a single database. DuckDB is a relational database management software (RDBMS). It is a system to manage data stored in relational databases. A relation is basically a mathematical term for a particular table. Each table is a named collection. Each row in a table has the same number of named columns. Each column is of a particular data type. Schemas are used to store tables, and a collection can be accessed to access the entire database.

Paradime, an AI-powered analytics tool, is designed to improve data operations through accelerated dbt pipelines. It also reduces data warehouse costs by more than 20% and boosts analytics ROI. Its smart IDE streamlines dbt, saving up to 83% in coding time. The CI/CD features accelerate pipeline delivery and reduce the need for platform engineers. Radar optimizes data operations and provides automatic cost savings. Paradime integrates seamlessly into various applications. It offers over 50 integrations that support comprehensive analytics workflows. It is enterprise-ready and provides secure, flexible, scalable, and scalable solutions to large-scale data operations. GDPR and CCPA-compliant, with the appropriate technical and organization measures in place to safeguard your information. Weekly vulnerability testing, and yearly penetration tests to ensure infrastructure systems remain up-to-date.