Denodo Standard 8.0 Datasheet - Microsoft
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Datasheet Denodo Standard 8.0 Datasheet The accelerating adoption of cloud platforms, cloud-based data stores, and software-as-a-service (SaaS) applications introduces new complexities and challenges for organizations that need to integrate their cloud data with on-premises databases and applications so that all systems can work together seamlessly. The accelerating complexity of data in today’s hybrid, multi-cloud world means that organizations need a way to connect everything together in a way that is flexible and agile. However, it can be challenging and resource intensive to integrate and make all of the data available in real time for analytics or data services. Traditional approaches, which use extract, transform, and load (ETL) processes to copy all of the data into a new repository for analysis, are time consuming and expensive, and they can result in data that is fragmented and not up-to-date. Through data virtualization, Denodo offers a better solution that integrates data in real time, directly from the data sources, without having to move the data to a new, consolidated location. Denodo’s no-code/low-code, modern data virtualization solution provides a data abstraction layer that accelerates access to data, while providing security and governance. The Denodo Platform can be used to speed analytics by enabling the creation of a logical data warehouse, which can seamlessly combine data from cloud and on-premises warehouses, in real time. The data from all of the connected sources can also be made available as data services, through the Denodo Platform’s no-code data API creation capabilities. Denodo integrates and delivers data in as little as ⅙ the time with as much as 80% cost savings compared with other approaches. Denodo Standard 8.0 brings the power of Denodo’s modern data virtualization to project-specific uses by providing an easier and more cost effective starting point. Available pay-as-you-go in leading cloud marketplaces with automated setup and configuration, it lowers the cost and accelerates data access for analytics and data services scenarios. This makes it a great fit for organizations of any size that are looking for ROI without making a large financial commitment. © 2021 Denodo Technologies 1
Key Features of Denodo Standard 8.0 Denodo Standard 8.0 is built on the same proven high-performance Denodo data virtualization technology used in Denodo Platform 8.0 to quickly connect to data and make it available for analysts, data scientists, and consuming applications. Denodo Standard 8.0 comes with an easy-to-use unified Web interface and automated cloud infrastructure setup and management to make it fast and efficient for small teams to quickly get into production. Denodo Standard 8.0 offers all the capabilities necessary to get data integration projects into production with minimal effort and resources, within the budgets of small teams or initial projects. With out-of-the-box connectivity to more than 150 data source types, a visual design studio to combine, integrate and normalize data and smart query acceleration, Denodo Standard 8.0 enables you to connect, combine and consume data quickly and efficiently. Developers benefit from the productivity offered by the new Web-based Design Studio tool, which makes it possible to quickly develop views and data services without writing any code. The new Denodo Design Studio enhances Denodo Standard’s ease-of-use and supports SSO to make it securely available to your team members, wherever they may be. The Design Studio enables more of your team to contribute through the creation of data views using no-code data modeling. It supports single sign-on (SSO) using Kerberos, SAML, OpenID and OAuth, enabling seamless connectivity to all Denodo tools. Denodo Standard 8.0 offers advanced support for data services with flexible delivery options (REST, SOAP, OData and OpenAPI), the ability to expose data in multiple formats (XML, JSON, HTML, RSS) and unified support for the latest security protocols (OAuth, JSON Web Tokens, SAML, Kerberos, HTTPS, HTTP Basic Digest Authentication, or WS-Security). Denodo 8.0 also adds support for the popular GraphQL, to simplify the queries of multiple REST endpoints. © 2021 Denodo Technologies 2
Denodo Standard 8.0 benefits from Denodo’s performance leadership by utilizing powerful capabilities including
distributed query optimization, advanced query pushdown, and sophisticated caching capabilities.
Denodo Standard 8.0 includes automated cloud infrastructure management to accelerate all of the tasks related
to installing, configuring, deploying, and upgrading Denodo Platform clusters.
Denodo Standard 8.0 includes the Apache Zeppelin-based Denodo Notebook for data scientists, leveraging
security and SSO. This enables data scientists to more quickly find the right data and put it to work in Machine
Learning and predictive analytics models.
CONSUMERS
BI Tools Data Science Tools
DATA AS A SERVICE
RESTful / OData
SQL GraphQL / GeoJSON
Query
Self-Service
LOGICAL DATA FABRIC
Optimization
DATA VIRTUALIZATION
Hybrid/ AI/ML
Multi-Cloud CONNECT COMBINE CONSUME Recommendations
to disparate data related data into views using BI & data
in any location, format with universal semantic sciencetools,
or latency model and APIs
Data
Governance Security
SOURCES
SaaS 150+
data
adapters
Traditional Cloud Hadoop OLAP Files Apps Streaming SaaS
DB & DW Stores & NoSQL
Fig. 1 Denodo Standard 8.0 Architecture
© 2021 Denodo Technologies 3KEY FEATURES OF DENODO STANDARD 8.0 INCLUDE:
Unified, Web-based interface to all Automated infrastructure management
Denodo Standard tools, with SSO support. for the cloud: Platform-as-a-service (PaaS)
support including cluster configuration
150+ out-of-the-box connectors to quickly (TLS, load-balancing, etc.), start/stop
connect sources and targets in real time. controls, the automatic installation of
updates, and integrated monitoring.
Web-based Design Studio for
developer ease-of-use in creating Advanced Data Services: Zero-code,
data views by combining data and automated creation of data APIs, including
developing data services. Provides the ability to use GraphQL for efficient
visual data lineage to understand data data services.
sources and transformations.
Apache Zeppelin-based Denodo
High-performance query acceleration Notebook: Integrated with Denodo SSO
of virtualized data views to speed to better enable data scientists with data
responsiveness while minimizing the loads from connected systems.
on source systems and network traffic.
Business Benefits
FAST FLEXIBLE, PAY-AS-YOU-GO BUSINESS-FRIENDLY
Get started in minutes by PRICING Denodo Standard is an easy-
leveraging automated cloud Get started with a minimal to-use solution that abstracts
infrastructure setup and a highly monetary commitment that only the complexity of modern
productive no-code/low-code tool requires payment when you use data ecosystems (distributed,
with easy connectivity to over 150 Denodo Standard. heterogeneous, diverse data
data sources. sources) from business users by
making all the connected data
appear to be a single database.
FASTER PATH TO VALUE
EFFICIENT, REAL-TIME DATA The low initial investment on
ACCESS on-going charges delivers rapid
Efficient, real-time data access: ROI by delivering data faster
Integrate cloud and on-premises and more cost effectively. This
data in a fraction of the time and makes Denodo Standard a great
cost of traditional data integration fit for small and medium sized
approaches such as ETL businesses just starting out with
processes. data virtualization.
© 2021 Denodo Technologies 4High Level Features of Denodo Standard
✓ Denodo data virtualization engine
✓ Hourly and annual pricing available via cloud marketplace
subscription.
✓ Production instance comprises of Denodo’s single server
licensing
✓ Solution manager is included with the subscription
✓ Single development instance is included in the pricing
while a UAT instance is priced separately.
✓ Support for upto 5 data sources
✓ Comprehensive security support (authentication, authorization,
user and role based policy, masking, encryption and more)
✓ Denodo notebook, data lineage capabilities are included in the
subscription.
✓ Core performance capabilities such as standard query
optimizations are all included.
Users looking for broader data management capabilities beyond data
virtualization can leverage the Denodo Platform to gain access to features
such as unlimited data sources, data catalog, smart query acceleration
(performance summaries), advanced diagnostics, and version control.
© 2021 Denodo Technologies 5Denodo Standard 8.0 Capabilities
DATA SOURCES Big Data Cloud, SaaS, Web Sources with
• Apache Hive (JDBC): 0.12, Simplified OAuth Security
Relational Databases 1.1.0, 1.1.0 for Cloudera, 1.2.1 for • Amazon
• Generic (JDBC) Hortonworks, 2.0.0 • Google
• IBM DB2 (JDBC): 8, 9, 10, 11, 12 for • Impala (JDBC): 2.3 • Google Sheets
LUW, 9,10 for z/OS, AS400 • Spark SQL (JDBC): 1.5, 1.6 • Facebook
• Multi Layered Denodo • Presto (JDBC) • LinkedIn
deployments (JDBC): 5.5, 6.0, 7.0, • Databricks 2.x • MS Azure Data Lake
8.0 • MS SharePoint (by using the
• Apache Derby (JDBC): 10 NoSQL OData connector)
• Informix (JDBC): 7, 12 • MongoDB • MS Dynamics 365 Business
• MS SQL Server (JDBC, ODBC): • Cassandra Central / Customer Engagement
2000, 2005, 2008, 2008R2, • Marketo
2012, 2014, 2016, 2017 Multi-Dimensional Sources • ServiceNow
• MySQL (JDBC): 4, 5 • SAP BW (BAPI/XMLA): 3.x • Salesforce (SOQL)
• Oracle (JDBC): 8i, 9i, 10g, 11g, 12c, • SAP BI 7.x (BAPI): 7.x • Twitter via APIs with simplified
18c, 19c • Mondrian (XMLA): 3.x OAuth integration (1.0, 1.0a and
• Oracle E-Business Suite (JDBC): • IBM Cognos TM1 2.0)
12 • MS SQL Server Analysis Services • Workday
• PostgreSQL (JDBC): 8, 9, 10, 11 200x
• Essbase (XMLA): 9, 11 Active Directory as source or
Sybase Adaptive Server Enterprise leveraging security
(JDBC): 12, 15 Data Lake Storage • LDAP v3
• MS Access (ODBC) In-Memory • S3 • Microsoft Active Directory 2003,
Databases • Azure Data Lake Storage 2008
• SAP HANA (JDBC): 1 • Azure Data Lake Storage Gen 2
• Oracle TimesTen (JDBC): 11g • Azure Blob Storage MS Queues as data source and
• Oracle 12c • Google Cloud Storage Delivery
• Parquet (Distributed File System • MQSeries
In-Memory Parallel databases and Connector) • SonicMQ
appliances • Avro • ActiveMQ
• Greenplum (JDBC): 4.2 • Tibco EMS
• HP Vertica (JDBC): 7, 8 Web Services
• Oracle Exadata (JDBC): X5-2 • SOAP Semantic Repositories
• ParAccel 8.0.2 (by using ParAccel • REST (XML, RSS, ATOM, JSON) • Semantic repositories in Triple
2.5.0.0 JDBC3g with SSL driver) Stores / RDF accessed through
• Netezza (JDBC): 4.6, 5.0, 6.0, 7.0 Flat and Binary Files SPARQL endpoints.
• SybaseIQ (JDBC) 12.x, 15.x • CSV, pipe-delimited, Regular
• Teradata (JDBC): 12, 13, 14, 15 expression-parsed Packaged Applications
• Yellowbrick • MS Excel xls 97-2003 • SAP ERP/ECC (BAPIS and tables)
• MS Excel xlsx 2007 or later • Oracle E-Business Suite 12
Cloud Data Warehouse / RDBMS • MS Access • Siebel
• Amazon Redshift (JDBC) • XML • SAS (SAS JDBC Driver): 7 and
• Amazon Athena (JDBC) • JSON higher
• Amazon Aurora (JDBC) • SAS Files (SAS7BDAT)
• Amazon DynamoDB • All files can be locally accessible Denodo SDK for Custom
• Amazon RDS or in remote filesystems, through Connectors
• Azure Cosmos DB FTP/ SFTP/FTPS, and in clear, • CouchDB
• Azure SQL Database zipped and/or encrypted format. • Lotus Domino
• Azure Synapse Analytics
• Delta Lake Indexes and unstructured content Mainframe
• Google Cloud SQL • CMS, file systems, pdf, MS Word, • IMS
• Google BigQuery (JDBC) text, email servers, knowledge • IBM IMS native drivers: 8, 9
• MongoDB Atlas bases, indexes • IMS Universal Drivers: 11
• Snowflake (JDBC) • Elastic Search 6.4, 6.7
© 2021 Denodo Technologies 6Hierarchical databases CACHE AND DATA MOVEMENT Data at Rest - secure storage
• Adabas(SOA Gateway and OPTIONS • Cache: third party database.
Denodo’s SOAP connector): 5, 6 Can leverage its own encryption
• Amazon Athena mechanism
Aditional data sources: • Azure SQL • Swapping to disk: Serialized
• Apache Solr • Azure SQL Data Warehouse temporarily stored in a
• Kafka Messages • Azure Synapse Analytics configurable folder that can be
• Hadoop HBase • Amazon Redshift encrypted by the OS
• Hadoop HCatalog • Databricks 2.x
• Hadoop HDFS • Delta Lake Encryption/Decryption
• IBM BigInsights • IBM DB2 ( 8, 9, 10, 11 for LUW, 9, • Support for custom decryption for
• Pivotal HAWQ 10, 11 for z/OS) files and web services
• Hive 2.0.0 • Transparent integration with
PUBLISHING OPTIONS • Impala RDBMs encryption
• MS SQL Server (2000, 2005, • Encrypted metadata import/export
• SQL Based access via JDBC, 2008, 2008R2, 2012, 2014, 2016,
ODBC and ADO.NET 2017) User and Role Based including
• Web Services • MySQL (4 and 5) integration with AD/LDAP
• SOAP • Netezza (6 and 7) • Row and Column level
• REST • Oracle (8i, 9i, 10g, 11g, 12c, 12c in- authorization
• OData memory, 18c, 19c) • Masking
• Open API (a.k.a Swagger) • Oracle TimesTen 11g • Custom policies for specific
• GraphQL • PostgreSQL (9 and 10) security constraints and
• OAuth, OAuth 2.0 (JWT) • Presto integration with external policy
• SAML • SAP HANA servers
• SSL • Snowflake
• WS-Security • Spark (1.5,1.6 and 2.x) Authentication
• JMS listeners for message queues • Teradata (12, 13, 14, 15, and 16) • Native and LDAP/Active Directory
• Denodo Scheduler for batch • Vertica (7 and 9) based Support for Kerberos and
process and lite ETL • Yellowbrick Windows SSO
• Configurable “generic” adapter • Base64
PERFORMANCE OPTIMIZATIONS for other databases with JDBC • Kerberos
drivers • NTLM
• Dynamic Query Optimization for • OAuth, OAuth 2.0 (JWT)
Analytics DATA PIPELINES • SAML
• Full and partial aggregation and • Two-factor authentication
join pushdown, even in federated • Remote Tables (created through (through supported identity
views UI or stored procedure) providers: Okta, Duo, etc.)
• Support for alternative data • Denodo Scheduler • SSL
sources • WS-Security
• On-the-fly data movement for DATA GOVERNANCE • Pass-through session
optimization credentials
• Cost-based optimization (data • Data source refresh, change • Leverage existing source
statistics, data source indexes, impact analysis, dependency tree, privileges
data source execution model and full data lineage
parameters, network transfer rates) • Denodo Governance Bridge: DATA MODELING
• Pushdown of selections/ integration with IBM Information
projections/ joins/groupby Governance Catalog • Design Studio: Web-based
operations also on federated • API to publish metadata including development studio for data
views lineage information to data modeling (desktop version still
• Multiple join strategies governance tools available)
• Simplifying partitioned unions • Bottom-up and top-down (through
(Partition pruning) SECURITY interface views)
• Multi-mode caching: full, partial, • Denodo Model Bridge:
incremental or total refresh, event Data in Motion – Secure Channels Integration with third-party
based or scheduled, configured • Using SSL/TLS modeling tool
at the view level, incremental • Client-to-Denodo and Denodo-to- • ER/Studio Data Architect
queries for SaaS sources source • ERwin Data Modeler
• Available for all protocols (JDBC, • IBM InfoSphere Data Architect
ODBC, ADO.NET and WS) • SAP PowerDesigner
© 2021 Denodo Technologies 7DATA QUALITY • Centralized management of • Change resource priority
license keys • Enforce limited timeouts or
• Library of transformation, filter and • Defining promotion revisions limits on number of rows
matching functions and quality and their dependencies and
rules for validating, cleansing, deploy them to a production • Add daily quotas per minute/
enriching, standardizing, matching cluster with zero downtime day/month: e.g. only 50 queries
and merging data • Centralized management of per day
• Extensible through custom data source properties and
functions logs USER INTERFACES
• Integration with external DQ tools • REST API for automation of
tasks from DevOps tools (e.g. • Central Web Console: integrated
MONITORING jenkins) access to all Denodo UIs with
• Integrated Infrastructure SSO (Kerberos, SAML, OpenID
• Denodo Query Monitor, Denodo Management for Cloud (AWS) and OAuth)
Monitor Reports: all monitoring • Creation and management of • Solution Manager Web-based UI:
information is delivered via clusters: define type of EC2 Centralized UI for administrators
Denodo tools for real-time and instances, number of EC2 to manage deployments
historical analysis. Historical instances, etc. and promotions, including
dashboards can be created using • Creation of load balancers and automatic management of cloud
the monitor information auto scaling groups. infrastructure (AWS)
• Monitoring is also available • Installation and launch of the • Design Studio: Web-based
via SNMP and JMX standards. Denodo servers. development studio, drag-and-
Therefore interoperable with most • Installation of Denodo updates drop and low-code developer
leading systems management on clusters with several studio geared to data-oriented
packages (e.g., HP OpenView, servers, without downtime. developers such as data
Nagios, Zenoss, Osmius, IBM • Enable SSL in the Denodo engineers, power users, and
Tivoli, and Microsoft WinRM) servers. citizen integrators; publish data
• Subversion services with a few clicks.
OPERATIONS • Microsoft TFS • Desktop Dev. Studio (VDP Admin
• Git tool)
• Resource Manager to limit and
• Solutions Manager to automate
allocate resources to each
operations and promotions tasks
session, role or user in a way that
• Centralized management and
optimizes resource utilization for
distribution of updates to clients
each application
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