Search Results

boasts users among enterprise companies like Salesforce, Microsoft, and Databricks, who use Databook’s SRM platform to build the kind of deep customer connections

The platform integrates with BI and AI tools such as Power BI, Tableau, Databricks, and Snowflake. Timbr’s ontology-based approach ensures consistent business

their numbers.Enterprise-grade scale — The vendor states clients like Databricks, SAP, Siemens, and Verizon currently leverage Outreach as a purpose-built

legacy ERPs (SAP S/4HANA, Oracle, Workday) and data lakes (Snowflake, Databricks) without hardcoded schemas.Bifurcated Execution Model: Separates operations

leveraging zero copy integrations from Snowflake, Redshift, BigQuery, and Databricks. Data Cloud lets users bring in data from favorite apps using 200+ connectors

& Seller), Stripe, and others.Destinations: Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, and Google Sheets; works with Looker Studio, Power

decisions. Board can complement existing data and AI platforms, including Databricks, Snowflake, and Microsoft Fabric, by adding planning semantics, assumptions

Endpoints.Data-Stack Integration: Integrates with services such as Snowflake, Databricks, dbt, AWS, Google Cloud, Azure, Kubernetes, Docker, Spark, GitHub Actions

SpecificationsSupported Integrations: PostgreSQL, MySQL, Azure SQL, Snowflake, Databricks, BigQuery, Amazon Redshift.Supported Interfaces: Python SDK (pandas, NumPy

Core and enterprise DataHub Cloud. It connects to platforms including Databricks, Snowflake, Microsoft Fabric, Dataplex, Power BI, Salesforce, Workday,

delivers data into leading cloud data warehouses — Snowflake, BigQuery, Databricks, Amazon RDS, and PostgreSQL — and keeps it current with continuous syncing

The firm collaborates with technology partners, including Snowflake, Databricks, AWS, and NVIDIA, to deliver solutions. Their expertise extends across

SpecificationsSupported Data Warehouses: Snowflake, Google BigQuery, Amazon Redshift, Databricks, PostgreSQL, Trino, and ClickHouse.Technology Stack: TypeScript monorepo

ConnectivityThe platform includes native connectors for Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, Oracle, PostgreSQL, MySQL, and dbt. An MCP

Technical Specifications Supported Cloud Data Warehouses: Snowflake, Databricks, and Google BigQuery.Supported Analytics Endpoints: Tableau, Power BI,

through a number of technology partnerships. These include data warehouses (Databricks), observability tools (Datadog), CDPs (Amperity), digital asset management

databases, and analytics platforms including Snowflake, Amazon Redshift, Databricks, Looker, and GraphQL APIsSupported Compliance Standards: GDPR, HIPAA, ISO/IEC

SpecificationsDeployment Model: Cloud SaaS / Cloud Data Warehouse Native (Snowflake, Databricks, Google Cloud BigQuery, AWS)Developer / Vendor: LiveRamp (liveramp.com)Core

issues: Cost Optimization - Modern data platforms like Snowflake and Databricks weren’t designed for high-frequency, always-on workloads. Batch pipelines

SAP, Molecule, and Agiboo, and cloud data platforms such as Snowflake, Databricks, AWS, Microsoft Azure, and Google Cloud. Business users can configure mappings

connectors for SAP, Oracle, Workday, Microsoft, Coupa, Zip, Snowflake, and Databricks Analysis and insights 175+ prebuilt procurement analyses run automatically

infrastructure that supports pushdown execution natively within Snowflake, Databricks, BigQuery, and Redshift. The platform includes over 130 prebuilt connectors

states this differentiates it from Sagemaker which is AWS-specific or Databricks which is tied to Spark. Domino is an open system and its architecture

machine-learning workflows.Ecosystem integrations: Connects with platforms including Databricks, Snowflake, BigQuery, Redshift, SQL Server, Oracle, PostgreSQL, dbt, Airflow

operate on datasets synchronized from cloud sources such as Snowflake, Databricks, and Salesforce, supporting up to 100 million records within a single table