Getting Started with Data Integration
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Getting Started with Data Integration
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2019 Gartner Magic Quadrant for Data Integration Tools
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How Save the Children Sped Up Data Integration
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Introduction to Talend Open Studio for Data Integration
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| Open Studio for ESB | Enterprise Service Bus Entry-Level | Data Services Platform | Cloud API Services Platform | |
|---|---|---|---|---|
| Product Details | Product Details | Product Details | Product Details | |
License | Free Open Source | User-based subscription | User-based subscription | User-based subscription |
| Free open source Apache license | ||||
| Subscription license with warranty and indemnification | ||||
| Available as downloadable software | ||||
| Available as cloud service | ||||
| 2 free Data Preparation and 2 free Data Stewardship licenses with any Talend subscription | ||||
Design and Productivity Tools | ||||
| Graphical design environment | ||||
| Team collaboration with shared repository | ||||
| Continuous integration / Continous delivery | ||||
| Visual mapping for complex JSON, XML and EDI | ||||
| Audit, job compare, impact analysis, testing, debugging, and tuning | ||||
| Metadata bridge for metadata import/export and centralized metadata management | ||||
| Distant run and parallelization | ||||
| Dynamic schema, re-usable joblets, and reference projects | ||||
| Repository manager | ||||
| ETL and ELT support | ||||
| Wizards and interactive data viewer | ||||
| Versioning | ||||
| Export and execute standalone jobs in runtime environments | ||||
| Change data capture (CDC) | ||||
| Automatic documentation | ||||
| Cloud Pipeline Designer | ||||
Components | ||||
| File management: open, move, compress, decompress without scripting | ||||
| Control and orchestrate data flows and data integrations with master jobs | ||||
| Map, aggregate, sort, enrich, and merge data | ||||
| Standard support: REST, SOAP, OpenID Connect, OAuth, SAML, WSDL, Swagger(tm) and more | ||||
| Transports/protocols support: HTTP, JMS, MQTT, AMQP, UDP, Apache Kafka, WebSphere MQ, and more | ||||
| Enterprise Integration Patterns for service mediation, routing, and messaging | ||||
Connectors | ||||
| Cloud: AWS, Microsoft Azure, Google Cloud Platform, and more | ||||
| RDBMS: Oracle, Teradata, Microsoft SQL server, and more | ||||
| SaaS: Marketo, Salesforce, NetSuite, and more | ||||
| Packaged Apps: SAP, Microsoft Dynamics, Sugar CRM, and more | ||||
| Technologies: Dropbox, Box, SMTP, FTP/SFTP, LDAP, and more | ||||
| Cleansing, masking, and error resolution | ||||
| Optional 3rd-party address validation services | ||||
API Development | ||||
| Visual API Designer | ||||
| Support for OAS / Swagger(tm) and RAML | ||||
| Visual API Tester | ||||
| Automatic API mocking | ||||
| API testing automation | ||||
| Hosted API documentation | ||||
| API contract import into Talend Studio | ||||
Agile Application Integration | ||||
| Drag-and-drop route, data and web/REST services creation and simulation | ||||
| WS policy-based web services security | ||||
| Deliver and route messages and events based on Enterprise Integration Patterns (EIPs) | ||||
| Reliable messaging backbone based on ActiveMQ | ||||
| Service locator and registry | ||||
| Command line and scripting tools | ||||
| XML key management specification (XKMS) | ||||
| Build and deploy as an OSGI feature | ||||
| Build a microservice | ||||
| Deploy and manage a microservice | ||||
Management and Monitoring | ||||
| High availability, load balancing, failover for Jobs | ||||
| Deployment manager and team collaboration | ||||
| Manage users, groups, roles, projects, and licenses | ||||
| Manage execution engines | ||||
| Execution plan, time, and event-based scheduler for Jobs | ||||
| Check points, error recovery | ||||
| Context management (dev, QA, prod) | ||||
| Activity monitoring | ||||
| Log collection and display | ||||
| Optional Admin user add-on | ||||
| Engine clusters for jobs | ||||
| Static IP addresses | ||||
| Job execution log history (2 months for Entry products, 3 months for Platforms) | ||||
| Environments (2 for Entry products, unlimited for Platforms) | ||||
| Single Sign-On (SSO) integration with several SSO providers | ||||
| Cloud Security Information and Event Management (SIEM), Intrusion Detection System (IDS), Intrusion Prevention System (IPS) and Web Application Firewall (WAF) | ||||
Services Management | ||||
| System monitoring: JMX / Jolokia | ||||
| Services and routes runtime engine (Talend Runtime on-prem, Remote Engine cloud) | ||||
| Containerized service generation | ||||
| Access into live statistics of message flow activity | ||||
| Integrated artifact repository | ||||
| Interface to deploy data services and routes | ||||
| Identity management and authorization | ||||
Data Quality and Governance | ||||
| Data profiling and analytics with graphical charts and drilldown data | ||||
| Data privacy with masking and encryption | ||||
| Automated data standardization, cleansing and rules enforcement | ||||
| Data quality portal with monitoring, reporting, and dashboards | ||||
| Semantic discovery with automatic detection of patterns | ||||
| Comprehensive survivorship | ||||
| Data sampling | ||||
| Enrichment, harmonization, fuzzy matching, and de-duplication | ||||
Advanced Data Profiling | ||||
| Fraud pattern detection using Benford Law | ||||
| Advanced statistics with indicator thresholds | ||||
| Column set analysis | ||||
| Advanced matching analysis | ||||
| Time column correlation analysis | ||||
Pipeline Designer | ||||
| Design pipelines in the cloud and run on-premises or in the cloud | ||||
| Read/Write support for Snowflake; Amazon Redshift, S3; Azure SQL Database, SQL Data Warehouse, Blob Storage, Data Lake Store Gen2; Amazon RDS (Oracle, SQL Server, MySQL, PostgreSQL, Aurora); and on-premise through JDBC (Oracle, SQL Server, MySQL, MariaDB, PostgreSQL) | ||||
| Connectors for SaaS: Saleforce; Streaming: Apache Kakfa, Amazon Kinesis (source only), Azure Event Hubs; NoSQL: Elasticsearch | ||||
| Native cloud data warehouse connectors: Snowflake and Amazon Redshift bulk loaders (destination only) | ||||
| Lightweight data transformations including filter, flatten/normalize, aggregate, replicate, look up, join, and time windowing | ||||
| Live preview of sample data, and pipeline sharing | ||||
| Design batch and streaming pipelines in the same interface, using the same connectors | ||||
| Schema on-read support | ||||
| Easily embed Python code | ||||
| Supports data formats including: AVRO, JSON, Parquet, and CSV | ||||
| Stores data in shared, common data set repository across all Talend products | ||||
| Manage users and licenses, schedule pipelines and monitor status (TMC) | ||||
Data Preparation and Stewardship | ||||
| Import, export and combine data from any database, Excel, or CSV file | ||||
| Import, export, and combine CSV, Parquet and AVRO files | ||||
| Export to Tableau | ||||
| Self-service on-demand access to sanctioned datasets | ||||
| Share data preparations and datasets | ||||
| Operationalize preparations into any data and cloud integration flow | ||||
| Run preparations on Apache Beam | ||||
| Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization | ||||
| Customization of semantic type for auto-profiling and standardization | ||||
| Smart and selective sampling and full-runs | ||||
| Data tracking and masking with role-based security | ||||
| Cleansing and enrichment functions | ||||
| Data Stewardship App for data curation and certification | ||||
| Define data models, data semantics and profile data accordingly. Define and apply rules (survivorship, mass updates) | ||||
| Merge and match data, resolve data errors, and arbitrate on data (classification and certification) | ||||
| Orchestrate and collaborate on activities in campaigns | ||||
| Define user roles, workflows and priorities, assign and delegate tasks, tag and comment | ||||
| Embed governance and stewardship in data integration flows and manage rejects | ||||
| Embed human certification and error resolution into MDM processes | ||||
| Take matching decisions that cannot be processed automatically | ||||
| De-duplicate data at scale with machine learning | ||||
| Audit and track data error resolution actions. Monitor progress of campaigns. Undo/redo based on business needs | ||||
Support | Self-service | Web, email | Web, email, phone | Web, email, phone |
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