Computacenter (UK) Ltd

Computacenter - Databricks Data Intelligence Platform

The Databricks Data Intelligence Platform integrates data warehouses, data lakes and AI into a "lakehouse," supporting diverse data types and AI workloads. Powered by an open-source foundation, it offers cohesive governance and security measures. Its Data Intelligence Engine ensures tailored insights, fostering organisation-wide data utilisation and AI adoption.

Features

• Real-time reporting for data analysis and decision-making.
• Remote access capabilities for data management.
• AI and ML frameworks to boost predictive analytics.
• Scalable data processing accommodates large, complex data sets efficiently.
• Analytics platform for both data lakes and warehouses.
• Automated workflows to streamline data processing and analytics pipelines.
• Advanced security features ensure data integrity and confidentiality.
• Multi-cloud support for flexibility in cloud service integration.
• Collaboration tools for team-based data exploration and insight sharing.
• Comprehensive API support for seamless third-party software integration.

Benefits

• Accelerate analytics with Databricks' optimized Apache Spark integration
• Simplify multi-cloud data integration using Delta Lake.
• Enhance data reliability and quality with MLflow for machine learning.
• Improve data governance using Unity Catalog for unified data management.
• Boost performance with Databricks' auto-scaling and optimisation features.
• Enhance security with Databricks' built-in compliance and encryption.
• Streamline data engineering workflows with notebooks.
• Deploy machine learning models faster with Databricks ML.
• Gain insights from real-time streaming data with Structured Streaming.
• Facilitate end-to-end data workflows with comprehensive API support.

£674 an instance a year

• Education pricing available
• Free trial available

Service documents

• Pricing document

  PDF

• Skills Framework for the Information Age rate card

  PDF

• Service definition document

  PDF

• Terms and conditions

  PDF

Request an accessible format

If you use assistive technology (such as a screen reader) and need versions of these documents in a more accessible format, email the supplier at government@computacenter.com. Tell them what format you need. It will help if you say what assistive technology you use.

Framework

G-Cloud 14

Service ID

938534275165414

Contact

Karen Baldock
+44 (0) 1707 631000
government@computacenter.com

Service scope

• Software add-on or extension: Yes
• What software services is the service an extension to: Databricks assumes existence of a storage layer in the cloud of choice, S3 in AWS, ADLS in Azure or GCS in Google Cloud. Data is both read and written to the storage services within users cloud account.
• Cloud deployment model: Public cloud
• Service constraints: Databricks operates ontop of cloud storage layer, necessitating data storage in S3 for AWS, ADLS for Azure, or GCS for Google Cloud. It functions through a fleet of VMs within the user's cloud account. Utilizing processes in Databricks incurs costs, encompassing VM usage duration and storage fees for data retrieval from storage into VMs. The buyers should be mindful of these implications to effectively manage expenses associated with compute and storage usage while leveraging the Databricks platform. Whilst the majority of the cloud's virtual machines are available, not every VM is available to be used with Databricks in every cloud.
• System requirements:
  • Cloud subscription is required
  • Available on AWS, Azure or GCP
  • Data must be stored in S3, ADLS, or GCS
  • Requires a service principal with permissions to create VMs
  • Requires a service principal with permissions to manage storage
  • Each workspace requires two subnets

User support

• Email or online ticketing support: Yes, at extra cost
• Support response times: It depends on the service package purchased, with response times ranging from within 1 business day, to within 1 hour. The most comprehensive package provides an SLA of under one hour response time for production critical workloads, 24*7*365. The minimum response SLA is less than 1 business day. Weekend support is offered for issues with production workloads only.
• User can manage status and priority of support tickets: No
• Phone support: No
• Web chat support: Yes, at an extra cost
• Web chat support availability: 9 to 5 (UK time), Monday to Friday
• Web chat support accessibility standard: WCAG 2.1 AA or EN 301 549
• Web chat accessibility testing: N/a
• Onsite support: Yes, at extra cost
• Support levels: "Databricks provides tiered support levels to meet the diverse needs of our customers, ensuring optimal platform performance and user satisfaction. Our support structure is designed to offer scalable solutions, from basic problem-solving to advanced technical guidance.; ; Business Support: Access to our comprehensive knowledge base, community forums, and email support. Suitable for customers with general support needs.; Enhanced Support: Includes all features of Standard Support with the addition of 24/7 phone support and faster response times. This level is ideal for businesses requiring immediate assistance for critical issues.; Production Support: Offers all the benefits of Enhances Support, plus a dedicated Technical Account Manager (TAM). The TAM serves as a proactive and strategic guide, helping to optimize your Databricks deployment and address complex operational challenges.; Additionally, Enterprise customers benefit from the expertise of a Cloud Support Engineer who provides in-depth technical assistance and performance optimization strategies tailored to your specific cloud environment.; ; Each support level is crafted to ensure that every user, from small enterprises to large corporations, receives the assistance they need to thrive in today's data-driven world."
• Support available to third parties: No

Onboarding and offboarding

• Getting started: All Databricks customers receive access to self paced learning on the Databricks Academy, which covers areas such as platform administration, data engineering, analytics and data science. In addition to that, there are options such as "train the trainer", instructor led classes, workshops and hackathons.
• Service documentation: Yes
• Documentation formats: HTML
• End-of-contract data extraction: The vast majority of customer data never leaves the customer cloud account. When a customer leaves Databricks, their workspace is deleted within 30 days of workspace or account deletion. Any data contained in the workspace that is not in customer's cloud account can be extracted by the customer at will before the customer leaves.
• End-of-contract process: At the end of the committed capacity contract either (a) a renewal may be agreed or (b) the customer's workspace remains accessible but billing reverts to the pay-as-you-go cost model paid through monthly invoices or on a payment card.

Using the service

• Web browser interface: Yes
• Supported browsers:
  • Microsoft Edge
  • Firefox
  • Chrome
  • Safari
  • Opera
• Application to install: No
• Designed for use on mobile devices: No
• Service interface: Yes
• User support accessibility: WCAG 2.1 AA or EN 301 549
• Description of service interface: Databricks' primary interface is through the web UI. This provides an easy-to-use graphical interface to workspace folders and their contained objects, data objects, and computational resources. Interactive development is facilitated through the Databricks notebook, which are similar in concept to Jupyter notebooks, but come with additional features such as automatic versioning, co-presence for collaboration, multi language support, and access controls. There is also a comprehensive API suite for programmatic interactions, which can be accessed by third party tools for orchestrating wider system workflows.
• Accessibility standards: WCAG 2.1 AA or EN 301 549
• Accessibility testing: "Databricks provides a robust, web-based interface that facilitates efficient and precise data management and analysis. Our integrated workspace supports a broad spectrum of data operations, from data science and engineering to business analytics.; ; Please note, while Databricks strives to provide an accessible platform, specific testing with assistive technologies has not been conducted. We are committed to continuous improvement in this area to ensure our services are accessible to all users, including those utilizing assistive technologies."
• API: Yes
• What users can and can't do using the API: A comprehensive set of REST APIs covers all aspects of the platform. For example, managing permissions, managing processing jobs, managing compute resources, managing code repositories. These APIs require authentication through a token generated and stored securely within the Databricks platform. Full API documentation is available on the Databricks website.
• API documentation: Yes
• API documentation formats:
  • Open API (also known as Swagger)
  • HTML
• API sandbox or test environment: No
• Customisation available: No

Scaling

• Independence of resources: Each Databricks workspace is isolated in the customer's cloud environment. This means that all demanding operations (for example using compute resource from cloud provider, writing to cloud storage) are independent from what other customers are doing.

Analytics

• Service usage metrics: Yes
• Metrics types: Within the UI, billable usage metrics are displayed on a per workspace basis. Automatic logging tracks compute resource usage, user auditing, notebook usage, and processing workflow reports. These logs can be configured to be delivered to your cloud storage for further analysis and reporting. Together, the logs allow for security and access auditing, cost optimisations, and identifying high cost users and workloads for further investigation.
• Reporting types:
  • API access
  • Real-time dashboards
  • Regular reports

Resellers

• Supplier type: Reseller providing extra features and support
• Organisation whose services are being resold: Databricks

Staff security

• Staff security clearance: Other security clearance
• Government security clearance: None

Asset protection

• Knowledge of data storage and processing locations: Yes
• Data storage and processing locations:
  • United Kingdom
  • European Economic Area (EEA)
  • Other locations
• User control over data storage and processing locations: Yes
• Datacentre security standards: Managed by a third party
• Penetration testing frequency: At least every 6 months
• Penetration testing approach: Another external penetration testing organisation
• Protecting data at rest:
  • Encryption of all physical media
  • Other
• Other data at rest protection approach: Databricks' inherits the physical security policies of the cloud data centers on which it is deployed.; ; Databricks leverages the physical security policies of the cloud data centers where it is hosted. It ensures data encryption at multiple levels: Control plane data is secured and can optionally use customer-provided keys for additional encryption. This applies to notebooks, secrets, and DB SQL queries. Importantly, most user data resides in customer-controlled storage, which can also be encrypted. Additionally, EBS volumes in Databricks clusters are encrypted by default and can use customer-managed keys if desired, extending to the DBFS root bucket.
• Data sanitisation process: No
• Equipment disposal approach: A third-party destruction service

Data importing and exporting

• Data export approach: Data resides in the customer's cloud storage account. If any data is saved within Databricks, this can be exported by writing the required code.
• Data export formats:
  • CSV
  • Other
• Other data export formats:
  • Any format supported by Spark
  • Parquet
  • Delta Lake
  • Avro
  • JSON
  • Database tables via ODBC / JDBC connectors
  • ORC
  • Any format supported by Pyhton
  • Any format supported by R
• Data import formats:
  • CSV
  • Other
• Other data import formats:
  • DOC
  • XLS
  • JSON
  • PARQUET
  • ORC
  • AVRO
  • Binary
  • Text
  • LibSVM
  • XML

Data-in-transit protection

• Data protection between buyer and supplier networks:
  • Private network or public sector network
  • TLS (version 1.2 or above)
  • Other
• Other protection between networks: Secure cluster connectivity, enabled by default, enhances security by closing VPC ports and removing public IP addresses for cluster nodes. Clusters connect to the control plane relay via HTTPS on port 443, bolstering network security. This simplifies network administration, eliminating the need for port configuration and network peering. With streamlined administration and improved security, Databricks gains expedited approval as a PaaS provider. However, it's important to note that this feature is available exclusively for Databricks accounts. Existing workspaces cannot be retrofitted; new workspaces must be created to utilize this feature.
• Data protection within supplier network:
  • TLS (version 1.2 or above)
  • Other
• Other protection within supplier network: Data transmitted between the customer data plane and the Databricks control plane is TLS 1.2+ encrypted. Data sent between hosts in a cluster, in the customer data plane, can be encrypted either in software (some limitations apply) or hardware (by using AWS Nitro instances).

Availability and resilience

• Guaranteed availability: Databricks does not publish SLA metrics, but availability notification and detail is available via https://status.databricks.com. Databricks cannot provide SLA details in a questionnaire as they are contractual documents managed through the legal process.
• Approach to resilience: Databricks ensures resilience/availability of its service through a robust architectural framework and strategic datacenter setups. The service operates on a dual-plane system comprising a control plane and compute plane. The control plane manages backend services within the Databricks account, while the compute plane, where data is processed, can be either serverless within the Databricks environment or classic, using resources in the customer's Azure subscription. This structure allows for natural isolation and enhanced security, as the compute resources in the classic plane are within the customer's controlled environment​​.; For disaster recovery, Databricks employs a comprehensive strategy that includes the use of multiple workspaces and the replication of data across different control planes in different regions. This setup ensures minimal disruption during a disaster, with options for both active-passive and active-active recovery strategies. The active-passive setup involves syncing data from active deployment to a passive one, which can be activated in case of primary region failure. In contrast, an active-active strategy runs processes in both regions simultaneously, offering higher availability but at a higher cost​.; This resilient framework not only ensures that Databricks meets critical business needs but also aligns with best practices for high availability and disaster recovery in cloud services."
• Outage reporting: Email alerts and public dashboards. https://status.databricks.com

Identity and authentication

• User authentication needed: Yes
• User authentication:
  • 2-factor authentication
  • Identity federation with existing provider (for example Google Apps)
  • Username or password
  • Other
• Other user authentication: Databricks customers will generally authenticate with their SAML-compliant identity provider, and Databricks supports checks for IP Access Lists or that connectivity occur over private link. Databricks staff must authenticate, MFA, and connect to our VPN to access the production platform.
• Access restrictions in management interfaces and support channels: Customers manage the permissions for their own users. For Databricks staff access: Databricks personnel cannot access customer workspaces or production systems except under very specific circumstances. Any access requires authentication via a Databricks-built system that validates access and performs policy checks. Access requires that employees be on our VPN, and our single sign-on solution requires multifactor authentication.
• Access restriction testing frequency: At least every 6 months
• Management access authentication:
  • 2-factor authentication
  • Identity federation with existing provider (for example Google Apps)
  • Username or password
  • Other
• Description of management access authentication: Databricks customers will generally authenticate with their SAML-compliant identity provider, and Databricks supports checks for IP Access Lists or that connectivity occur over private link. Databricks staff must authenticate, MFA, and connect to our VPN to access the production platform.

Audit information for users

• Access to user activity audit information: Users have access to real-time audit information
• How long user audit data is stored for: User-defined
• Access to supplier activity audit information: Users have access to real-time audit information
• How long supplier audit data is stored for: User-defined
• How long system logs are stored for: At least 12 months

Standards and certifications

• ISO/IEC 27001 certification: Yes
• Who accredited the ISO/IEC 27001: BDO
• ISO/IEC 27001 accreditation date: 18/12/2021
• What the ISO/IEC 27001 doesn’t cover: Whole organisation covered
• ISO 28000:2007 certification: No
• CSA STAR certification: No
• PCI certification: Yes
• Who accredited the PCI DSS certification: BDO
• PCI DSS accreditation date: 25/10/2021
• What the PCI DSS doesn’t cover: "Only Available in Azure and AWS.; Available in all regions except Azure Switzerland West.; Serverless workloads are not currently covered for PCI-DSS in Azure.; Most serverless workloads are not currently covered for PCI-DSS. AWS Databricks SQL Serverless workloads are covered under PCI-DSS for AWS us-east-1 and ap-southeast-2 regions only."
• Cyber essentials: No
• Cyber essentials plus: No
• Other security certifications: No

Security governance

• Named board-level person responsible for service security: Yes
• Security governance certified: Yes
• Security governance standards:
  • ISO/IEC 27001
  • Other
• Other security governance standards: SOC 2 Type II, ISO 27001, ISO 27017, ISO 27018, HIPAA
• Information security policies and processes: Databricks has implemented a formal security function with a Chief Security Officer who reports to the CEO and briefs relevant board members. Roles and responsibilities have been defined in Databricks Security Policies. The security policies are based on the ISO 27001 and 27002 standards, and are communicated to relevant parties both annually and upon hire. Databricks Security has defined teams managing compliance, detection and response, security engineering, and offensive security, and works closely with counterparts in legal, vendor management, product security, and engineering. The security program includes responsibility for aligning security to the business and communicating security needs to both the business and Databricks customers.

Operational security

• Configuration and change management standard: Supplier-defined controls
• Configuration and change management approach: Databricks has a formal, documented change management policy that has been communicated to constituents, approved by management and is reviewed at least once per year. Additionally, within the development process, Databricks requires peer review for every code commit -- commits must be merged by a functional owner for that section of code, and release management is performed by a separate team. Databricks releases require two-person approval, pre- and post-implementation tests, verification for potential operational impacts, rollback plans, documentation, and communications. Depending on the nature of the change, changes may go through a security review and/or approval process.
• Vulnerability management type: Supplier-defined controls
• Vulnerability management approach: "Databricks has implemented a formal, documented vulnerability management policy and program. The policy is owned by the Databricks CSO, has been approved by management, communicated to constituents, and is reviewed at least annually. Databricks employs an internal team of red hat testers and an external 3rd party to conduct regular penetration testing. We typically perform 8-10 external third-party penetration tests and 15-20 internal penetration tests per year.; Databricks policy requires the remediation or mitigation of critical vulnerabilities within 14 days, high severity vulnerabilities within 30 days, and medium severity vulnerabilities within 60 days."
• Protective monitoring type: Supplier-defined controls
• Protective monitoring approach: Databricks employs comprehensive protective monitoring processes. Potential security compromises are detected through advanced analytics and machine learning models, scanning vast amounts of log data to identify anomalies and security threats. Upon detecting potential threats, Databricks' incident response team is engaged immediately to assess and respond. The response is swift, leveraging predefined security protocols and continuous monitoring to ensure that incidents are addressed typically within hours, minimizing potential impact and ensuring rapid resolution. This process underscores Databricks' commitment to operational security and robust protective monitoring.
• Incident management type: Supplier-defined controls
• Incident management approach: Databricks has implemented a formal incident response plan that defines roles, responsibilities, escalation paths, and external communication that is reviewed at least annually. The Databricks Head of Detection and Response is responsible and accountable for managing the incident response program. In addition to the audit logs that are generated from within the Databricks platform (available both to customers and to Databricks Inc for security investigations), Databricks Inc maintains a security incident response team that has access to an internal instance of Databricks that is fed with a wide variety of log sources important to security response including network information.

Secure development

• Approach to secure software development best practice: Independent review of processes (for example CESG CPA Build Standard, ISO/IEC 27034, ISO/IEC 27001 or CSA CCM v3.0)

Public sector networks

• Connection to public sector networks: No

Social Value

• Social Value:

  Social Value

  • Fighting climate change
  • Covid-19 recovery
  • Tackling economic inequality
  • Equal opportunity
  • Wellbeing

  Fighting climate change

  Computacenter ensures that our business practices deliver effective stewardship of the environment in line with the Social Value Model. Computacenter's science-based emissions reductions targets are approved with the SBTi. Our Net Zero Journey Group Emissions is now just 16% of 2015 levels as outlined in our carbon reduction plan to achieve ‘Net Zero’ carbon emissions by 2040. Business travel is necessary, both for our customer requirements and for our staff. We have materially reduced business travel, ensuring all business trips are necessary, helping reduce carbon emissions. We are investing in technology to allow greater use of existing communication platforms as part of our ‘hybrid working’ strategy. One of the key benefits we believe this will help us realise is reducing emissions from business travel by 35 per cent by 2025 (compared to 2019). For G-Cloud services this means that we will drive the use of virtual, technology-enabled meetings as much as possible for all internal and external sessions, including those with our wider supply chain. Further to this we can provide customer advisory services which include guidance and recommendations on how to improve their sustainability performance to help inform customer decision making whilst achieving the desired commercial and technical outcomes through the services being provided. Computacenter has introduced incentives to encourage the replacement of the existing Fleet with Ultra Low Emission Vehicles. We have 44 electric charging points across 2 of our locations to encourage the adoption of electric and hybrid vehicles, either through our company car scheme or privately. For this framework specifically, this means that our consultants, project managers and engineering resource will have access to a ULEV vehicle via our company car scheme and the ability to charge a vehicle at Computacenter office locations.

  Covid-19 recovery

  Throughout the pandemic we have closely followed and implemented government guidance relating to the workplace and COVID-19. We created a COVID-19 risk assessment to enable us to understand the improvements that need to be made to our workplace conditions in line with the Government COVID-19 secure workplace guidelines and the business advice that is now current. It looks at the risks of COVID-19 in the workplace, such as hygiene, & cleaning and then states what we must put in place to mitigate these risks. As we enter the recovery phase of the pandemic, we have introduced hybrid working for our employees. This will allow most employees including those delivering G-Cloud services increased flexibility in how and where they work ensuring that we still deliver the best service to our customers whilst looking after our people. Our COVID-19 steering committee is there to identify activities that will improve workplace conditions then plan, build and regularly monitor various programmes focused on supporting the COVID-19 recovery effort. At these meetings, chaired by our Chief People Officer (‘CPO’) Sarah Long, our CIO John Gibbs and Services operations, the steering committee discuss changes that need to be implemented, identify areas of improvement, and review our roadmap of new activities. Throughout the life of the contract, we will use our existing activities (as well as those that are in development in due course) to continue to improve workplace conditions in support of the COVID-19 recovery effort. Questions relating to travel were included in the COVID-19 surveys that were issued through the pandemic. The assessment highlighted concerns people had about public transport. To help all employees; managers were coached and given guidance about being flexible with start/finish times. We continue to adapt our approach based on feedback received through the steering committee and employee surveys.

  Tackling economic inequality

  As a diverse and inclusive organisation with a strong focus on equality and driving in-work progression, our approach to recruitment and employment is aligned to recognised industry best practices such as the 5 principles of quality work as set out in the Good Work Plan. Our Employee Impact Groups for disadvantaged or minority groups provide representation, support, and community engagement, feeding into our People Panel ensuring all voices are heard, underpinning our wider ambition of building a sustainable business for the long term. We put specific measures in place to provide opportunities to under-represented groups or those who face barriers to employment, including comprehensive outreach programmes for schools and universities, as well as partnerships with non-profit organisations within our communities. We continue focus on reaching harder to reach groups and people who are underrepresented in our sector by working with charities and schools in the local community to offer career talks and work experience opportunities. Our school outreach programme has over 130 volunteers dedicating over 2,600 hours running activities for employability and life skills in schools, colleges, and universities. Computacenter is one of the 9 founding members of ‘Technology Community for Racial Equality’ (‘TC4RE’), a group set up to drive racial equality throughout the technology industry, with which we are delivering a half-day virtual event on ‘Enabling Ethnic Diversity’ featuring a series of expert keynotes, live panel discussions and interactive workshops with representation from across the UK technology community. Furthermore, Computacenter are a silver level partner in the Armed Forces Covenant and has introduced a programme that provides the opportunity to attain a degree and ServiceNow certification whilst receiving full salary for armed forces leavers. This programme is the first of many programmes we intend on running to help ex-forces personal transition back into the workplace and the IT industry.

  Equal opportunity

  Computacenter is committed to providing equal opportunities to all through fair recruitment practices and employment conditions across our organisation. We are a Disability Confident ‘Committed’ employer, committed to making lasting changes to our business creating a diverse talent pool. We work with partners through our community outreach, who are specialists in disability. An example is our work with Knightsfield School in Welwyn Garden City, a specialist school for deaf children. We run at least 3 ‘get work ready’ events with them, as well as offer up to 4 work experience opportunities and onsite visits every year. For this contract, we will use existing initiatives (as well as others that are in development) to provide career opportunities for individuals from under-represented groups to address requirements for specific skills or roles with a focus on increasing skillsets through the life of the contract. This will include apprenticeships aligned to security and cloud/infrastructure departments, as well as industrial placements and graduate schemes for our ServiceNow Centre of Excellence, with specific focus on delivering cloud-based services to our customers. Our workforce for services delivered under this framework will have access to existing initiatives aimed at supporting in-work progression and development for those from disadvantaged/minority groups. For example, our gender diversity initiatives include our Growing Together programme, which over 150 women have been through so far, of which over one-third have been promoted or taken a new role within a year following the mentoring and coaching provided. We are also committed to driving racial equality across our business and the wider technology industry. We are a founding member of ‘Technology Community for Racial Equality’ which recently delivered a half-day virtual event on ‘Enabling Ethnic Diversity’ featuring a series of expert keynotes, live panel discussions and interactive workshops with representation from across the UK technology community.

  Wellbeing

  We understand how important employee Wellbeing is for a sustainable business model, therefore we are committed to creating a sustainable supply chain. Ensuring the wellbeing of our employees are looked after will positively affect productivity, recruitment, and retention rates. In November 2021, a designated UK wellbeing manager was appointed and has since launched our wellbeing strategy, which aligns with the Social Value Model and the 6 standards of the Mental Health at Work Commitment, signed in July 2021. We are actively implementing the enhanced mental health standards as recommended through the ‘Thriving at Work’ review, and NICE mental health at work guidelines, as part of our Wellbeing strategy. The strategy encompasses four pillars of wellbeing, mental, physical, financial, and social. We are a Menopause friendly organisation and have created a support network for those in need. We have 109 Mental Health First Aid (MHFA) accredited staff in the UK, trained by Mind, who act as Wellbeing Champions providing mental health first aid support and promoting our wellbeing services which those delivering G-Cloud service provisions will have access to. These champions are from every business area and from different seniority. We hold events throughout the year organised by our UK wellbeing manager and Champions, which have included celebrating World Mental Health days, Menopause awareness, financial wellbeing webinars and sponsored events to raise money for our mental health charity partners. 2021 also saw the launch of our new groupwide app-based programme ‘Be Well’ which gives our people access to over 3,000 fitness, nutrition, health and wellbeing courses through Humanoo. Through this app we have launched an extremely popular groupwide step challenge and has encouraged our people to be more active, with over 35% of our workforce now using the app and covering over 1.8bn steps so far.

Pricing

• Price: £674 an instance a year
• Discount for educational organisations: Yes
• Free trial available: Yes
• Description of free trial: Databricks Community Edition provides unlimited free access to clusters, a cluster manager ,the notebook environment and integrations for BI analysis. The full Databricks platform offers production-grade functionality, such as an unlimited number of clusters that easily scale up or down, a job launcher, collaboration, advanced security controls, and expert support.
• Link to free trial: https://community.cloud.databricks.com/login.html

Service documents

• Pricing document

  PDF

• Skills Framework for the Information Age rate card

  PDF

• Service definition document

  PDF

• Terms and conditions

  PDF

Request an accessible format

If you use assistive technology (such as a screen reader) and need versions of these documents in a more accessible format, email the supplier at government@computacenter.com. Tell them what format you need. It will help if you say what assistive technology you use.