New 12 months, new integrations to announce! We’re excited to introduce 5 new additions to Databricks Accomplice Join– a centralized portal that will help you discover and combine knowledge, analytics, and AI options along with your Lakehouse. We’re completely satisfied to share that we have added our first companions for each the Knowledge Governance and Knowledge Safety classes in Accomplice Join! We’re additionally persevering with so as to add Knowledge Ingestion, Semantic Layer and BI and Visualization companions. This reinforces our dedication to offering modern accomplice options that reach the breadth and depth of the Databricks Lakehouse Platform via Accomplice Join.
Be taught extra about these 5 new integrations beneath!
Knowledge Safety
Privacera
Privacera is a unified Knowledge Safety Platform that integrates delicate knowledge discovery, masking, encryption, compliance workflow, audit, and fine-grained knowledge entry management throughout the Databricks Lakehouse Platform, together with Unity Catalog and Databricks SQL. Privacera’s new connector to Unity Catalog permits prospects to handle knowledge entry, together with integration with IAM options for attribute-based entry management (ABAC), knowledge tags for tag-based entry management (TBAC), file and object degree entry management, dynamic row degree filtering, in addition to column degree knowledge entry, masking, and encryption. These options allow constant and simplified entry and safety insurance policies to be utilized throughout Databricks workspaces. Be taught extra in regards to the Privacera and Databricks partnership right here.
Knowledge Governance
erwin by Quest
erwin by Quest supplies the instruments wanted that will help you fast-track your Databricks migration, design and optimize the lakehouse knowledge fashions you use, and effectively catalog and govern knowledge throughout a number of knowledge platforms. Use erwin Knowledge Modeler by Quest to auto-convert legacy knowledge fashions to be used in Databricks and rapidly design and evolve new Lakehouse knowledge fashions utilizing market-leading knowledge modeling capabilities like mannequin comparability. Ingest Databricks metadata from Databricks Unity Catalog into the erwin Knowledge Catalog to auto-document end-to-end knowledge lineage and acquire knowledge high quality visibility, affect evaluation and extra throughout your knowledge panorama. Enrich collected metadata with enterprise context and governance, and ship business-friendly knowledge discovery, knowledge literacy and threat compliance throughout your group. Be taught extra about utilizing erwin by Quest right here.
Knowledge Ingestion
Hevo Knowledge
Automate and simplify your knowledge integration course of with Hevo Knowledge. This no-code, user-friendly ELT platform helps you arrange dependable knowledge pipelines in your Databricks Lakehouse in minutes, with entry to 150+ plug-and-play connectors, together with in style SaaS purposes, enterprise instruments, and databases. With Hevo Knowledge, your crew saves hours of engineering time and enjoys entry to superior ELT options like automated schema mapping, change knowledge seize, post-load transformations, and extra. Now you can ship knowledge to what you are promoting crew in close to real-time! Enroll for a free trial as we speak.
BI and visualization
Sigma
Sigma is a cloud-native exploratory analytics platform with a well-known spreadsheet-like interface. At present, roughly one billion folks use spreadsheets month-to-month. Sigma breaks down knowledge silos and permits knowledge groups and enterprise analysts to align round a unified knowledge language. Sigma leverages the Databricks SQL Driver for Go and lets customers connect with the Databricks Lakehouse Platform in seconds, accelerating time to perception and eradicating language boundaries between knowledge and enterprise groups. Be taught extra in regards to the integration right here.
Semantic Layer
AtScale
AtScale permits smarter decision-making by accelerating the move of data-driven insights. The AtScale semantic layer platform simplifies, accelerates, and extends enterprise intelligence and knowledge science capabilities for enterprise prospects throughout all industries. With AtScale, prospects are empowered to democratize knowledge, implement self-service BI, and construct a extra agile analytics infrastructure for higher, extra impactful decision-making. Get began with AtScale on Databricks through Accomplice Join, together with an interactive getting-started information out there solely on Databricks Accomplice Join. To be taught extra in regards to the AtScale and Databricks partnership, watch this on-demand webinar.
Buyer highlight
Greenland Capital Administration improves monetary evaluation utilizing Sigma and Databricks in its trendy knowledge stack
Greenland Capital Administration, a small hedge fund, makes use of Sigma for its velocity, scale and ease of use. Certainly one of Greenland’s essential resolution standards included knowledge self-service to create dwell dashboards, P&L calculations, and most significantly, making certain sturdy knowledge governance throughout the group. The Databricks and Sigma integration additional enabled the info science crew to entry real-time knowledge quicker, securely, and extra precisely, enabling improved monetary modeling.
“Greenland has been considerate in its strategy to its knowledge stack. We wanted a platform to bridge the hole between our knowledge warehouse, our knowledge catalog, and, in the end, the evaluation we do on a day-to-day foundation. Partnering with Databricks and Sigma allowed us to prepare, discover and analyze our knowledge in an effort to ship knowledge outputs for common consumption.”
– Nan Xiao, Chief Expertise Officer at Greenland Capital Administration
Get began with Accomplice Join
Enroll for a free trial of Databricks to strive Accomplice Join at no extra price, and maintain a watch out as we unveil extra integrations within the coming months.
