Compare Hevo vs Treasure Data vs BigQuery

Hevo 48 Big Data	Treasure Data 138 Big Data	BigQuery 290 Big Data
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Crozscore 91% what is this? User Happiness: 94% Press Buzz: 53% User Trend: no significant changes	Crozscore 90% what is this? User Happiness: 90% Press Buzz: 50% User Trend: interest falling	Crozscore 87% what is this? User Happiness: 82% Press Buzz: 89%
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About Hevo Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs. Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.	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.	About BigQuery BigQuery is a Google Cloud Platform tool - a database-as-a-service (DBaaS) maintaining the querying and rapid analysis of enterprise-level big data. This is one of the best parallel solutions for Google Analytics, able to store terabytes of data. This cloud data warehouse service is a solution for not only Google Analytics data management, but also for any other data that users need to store and analyze. BigQuery does not require a server or a database administrator, it is low-cost, and makes data analytics productive. The key parts of this solution are the fast SQL-based queries, capacity scaling, integration with more existing ETL tools, logical data warehousing, automatic backup, and more. The service is free for up to 1TB of data analyzed each month and 10GB of data stored.
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	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 Pre-built Integrations with 100+ Data Sources Fully Automated Data Flows with No-code Interface Supports ETL, ELT, and Reverse-ETL use cases Data Modeling and Workflows Real-time Alerts & Notifications Replay/Re-run Failed Events Auto-schema Management Supports Historical and Incremental Data Load (CDC) Secure Connection with SSH Tunnel and SSL/TSL Encryption Supports Advanced Transformations	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	Summary Serverless Real-Time Analytics Automatic High Availability Standard SQL Federated Query and Logical Data Warehousing Storage & Compute Separation Automatic Backup & Easy Restore Data Transfer Service Big Data Ecosystem Integration Petabyte Scale
Pricing Free Plan Free Included in plan: Includes 1 Million Events Starter Plan $149.00 1 user(s) / month Included in plan: Includes 10 Million Events Business 1 user(s) / month Included in plan: Includes Custom Number of Events		Pricing Storage $0.02 Per GB, Per Month Included in plan: First 10 GB is free each month. Long Term Storage $0.01 Per GB, Per Month Included in plan: Price of storage drops by 50 percent to $0.01 per GB per month for inactive tables. No degradation of performance, durability, availability, or any other functionality for long term storage tables. $0.02 per GB per month for actively edited tables. Streaming Inserts $0.05 Per GB Included in plan: Loading data into BigQuery is free, except for a small charge for streamed data Storage pricing is based on the amount of data stored in your tables. Queries $5.00 Per TB Included in plan: You aren't charged for queries that return an error, or for cached queries. Charges are rounded to the nearest MB, with a minimum 10 MB data processed per table and per query. Cancelling a running query job may incur charges.
FAQs Who are the main user groups of this service? Data Engineers, Data Scientist, Business Analyst, Data Analyst, BI Engineers Does this service offer guides, tutorials and or customer support? Yes Does this service offer multi-user capability (e.g. teams)? Yes Does this service integrate with any other apps? Yes What is this service generally used for? ETL, Data Migration, Data Warehousing Does this service offer an API? Yes	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.	FAQs Does this service offer guides, tutorials and or customer support? Support: Knowledge Base, Tutorials, Training, Help Center, Email Support, Community. What is this service generally used for? BigQuery is used as an enterprise analytics data warehouse. Does this service integrate with any other apps? It integrates with Alooma, Blendo, Fivetran, Funnel, Atom Data, Informatica, Lytics, Matillion ETL, SAP, Segment, SnapLogic, Stitch, Striim, Switchboard, Skyvia, Talend, Treasure Data, Xplenty. Who are the main user groups of this service? Main users of this service are data scientists and analysts in enterprises. What are some applications this service is commonly used in tandem with? It is most commonly used in tandem with Google Analytics. Does this service offer an API? Yes, it offers REST API. What platforms does this service support? This is a web-based platform.
Vendor Information Founded: - Based in: - Employees: - Likes: Followers: 728	Vendor Information Founded: - Based in: - Employees: - Likes: Followers: 8.35k	Vendor Information Founded: - Based in: - Employees: myself only Likes: Followers:
Other Who uses Hevo Startups SMEs Enterprises Languages: English Regional Restrictions: No restrictions.	Other Who uses Treasure Data Enterprises Desktop Platforms: Web App Languages: English, Japanese, Korean Regional Restrictions: No restrictions.	Other Who uses BigQuery SMEs Enterprises Desktop Platforms: Web App Languages: English, German, Spanish, French, Italian, Dutch, Portuguese, Turkish, Serbian, Chinese, Korean Regional Restrictions: No restrictions.