Compare Lenses vs Treasure Data

About Lenses

Lenses.io is a DataOps platform for streaming technologies like Apache Kafka. Lenses enables a seamless experience for running your Data Platform on-prem, cloud or hybrid and put dataOps in the heart of your business operations. Provides self-service data-in-motion control and enables you to build and monitor your data flows whilst security, data governance and data ethics are treated as first-class citizens. As a streaming platform overlay technology, Lenses integrates with Kubernetes and can run with any distribution of Apache Kafka including AWS MKS and Azure HDInsight.

About Treasure Data

Treasure Data operates with customer data for large tech companies, including those from Fortune 500 list. This managed cloud service is also widely used by innovators in other industries, like retail, eCommerce, advertising, and more.

Treasure Data is a customer data platform for marketing segmentation and personalization. By automating data collection and data processing, it helps its users overcome information overload and gain a dynamic look at their customers. It is a data-driven client personalization with 360° view.

This platform provides access to 1st, 2nd, and 3rd party data, including past data and current activities. Data from different sources are being unified, which reduces the need for data cleaning. It enables users to get and maintain a singular customer view, which is the solid basis for a successful marketing campaign.

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Summary

• Monitor & Administer: Make your Kafka enterprise-ready with full visibility and alerting on its health and secure self-service administration

• Explore & Debug: Accelerate the time to develop, debug and investigate Kafka by exploring data in your streams, consumer performance and more.

• Secure & Comply: Reduce risk and meet compliance by discovering, securing and auditing your Kafka environment and data

• Build & Deploy Flows: Build and deploy new flows in minutes with SQL stream processing via Kubernetes and data integration connectors configured through a UI.

Summary

• Pre-built Connectors

• Support for Real-Time and Batch Integration

• Data Quality Services

• Data Security Features

• Monitoring Console

• Unified Data For a 360° View of Your Customer

• Continuous Data Integration For Pull and Push Transmission

• Marketing Automation at Scale without Custom Engineering

FAQs

No FAQs associated with this application.

FAQs

What are some applications this service is commonly used in tandem with?

• This service is commonly used in tandem with CRM and cloud storage applications.

What is this service generally used for?

• This service is used for customer data analytics.

Does this service offer guides, tutorials and or customer support?

• Support: Community, FAQ, Knowledgebase, Video Tutorials, Webinars, Phone, Live Chat, Email.

Does this service offer an API?

• Treasure Data’s REST API makes it easy for users to POST to or GET data from a company’s cloud data warehouse.

Who are the main user groups of this service?

• Main users of Treasure Data are medium-sized and large enterprises, including those from Fortune 500 list.

What platforms does this service support?

• This is a SaaS platform.

Does this service integrate with any other apps?

• Integrations: Marketo, Segment.io, Mixpanel, TUNE Marketing Console, Google Analytics, AppsFlyer, adjust, Amplitude Analytics, Chartio, Tableau Desktop, Tableau Server, Looker, Domo, Adobe Analytics, Heap, Hadoop, Amazon Redshift, App Annie, Microsoft Power BI, Tableau Online, Pentaho, Metric Insights, Microsoft Office 2016, Microsoft Azure, Google Cloud Storage, Google Drive, Intercom, Zendesk, Elasticsearch, MongoDB, Google BigQuery, Microsoft SQL Server, PostgreSQL, Snowflake, MySQL, MariaDB, Docker, Heroku, Stripe, MailChimp, Salesforce Marketing Cloud Email Studio, Oracle Eloqua, Pardot, HubSpot, Oracle Responsys, NetSuite, DoubleClick, Facebook for Business, Sizmek, AdRoll, Acxiom LiveRamp Connect, Datorama, Twitter Ads, Google Tag Manager, salesforce sales cloud, kafka, Amazon Kinesis, hive mall, jupyter, pandas, R, mLab, fluentd, JDBC, Luigi, Python, Rest API, informatica, ruby, branch, eyeota, instagram Ads, xbee, MQTT, RaspberryPi, Serial Devices, CSV, FTP, Webhooks, mysql workbench, razorSQL, SQuirreL SQL, iOS, Android, Unity, Unreal Engine.

Vendor Information

Vendor Information

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Other

• Enterprises

• Web App