Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ClicData
Score 8.5 out of 10
N/A
ClicData is a 100% cloud-based business intelligence platform that allows users to connect, process, blend, visualize and share data from a single place. As an automated platform, users are able to rely on the latest version of company data, to ensure users make the right decisions. Hundreds of data connectors ClicData has connectors that allow users to pull data automatically from hundreds of business applications and databases. Data warehousing and ETL…
$79
per month
Google BigQuery
Score 8.7 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$6.25
per TiB (after the 1st 1 TiB per month, which is free)
Pricing
ClicDataGoogle BigQuery
Editions & Modules
Premium
$79
per month
Team
$269
per month
Business
$525
per month
Enterprise
Custom Quote
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Offerings
Pricing Offerings
ClicDataGoogle BigQuery
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup Fee$71 data volume, type of data source and level of automationNo setup fee
Additional DetailsAll plans include multiple users licenses but dashboards can be shared with external users via live links, no license needed. Plans and pricing vary based on the data connectors, refreshes, and the level of automation needed. A few hours of Expert Service are including in all plans but more hours can be purchased. A white label option is also available for consultants and agencies.
More Pricing Information
Community Pulse
ClicDataGoogle BigQuery
Top Pros
Top Cons
Features
ClicDataGoogle BigQuery
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
ClicData
10.0
3 Ratings
20% above category average
Google BigQuery
-
Ratings
Pixel Perfect reports10.01 Ratings00 Ratings
Customizable dashboards10.03 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
ClicData
9.0
3 Ratings
11% above category average
Google BigQuery
-
Ratings
Drill-down analysis8.03 Ratings00 Ratings
Formatting capabilities9.03 Ratings00 Ratings
Report sharing and collaboration10.02 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
ClicData
8.5
3 Ratings
2% above category average
Google BigQuery
-
Ratings
Publish to Web10.02 Ratings00 Ratings
Publish to PDF9.02 Ratings00 Ratings
Report Versioning7.02 Ratings00 Ratings
Report Delivery Scheduling8.01 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
ClicData
8.5
3 Ratings
6% above category average
Google BigQuery
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)10.03 Ratings00 Ratings
Location Analytics / Geographic Visualization7.02 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
ClicData
10.0
2 Ratings
16% above category average
Google BigQuery
-
Ratings
Multi-User Support (named login)10.02 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)10.02 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
ClicData
6.0
2 Ratings
28% below category average
Google BigQuery
-
Ratings
Responsive Design for Web Access7.02 Ratings00 Ratings
Mobile Application1.01 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile10.02 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
ClicData
10.0
1 Ratings
24% above category average
Google BigQuery
-
Ratings
iFrames10.01 Ratings00 Ratings
Themeable User Interface (UI)10.01 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
ClicData
-
Ratings
Google BigQuery
8.4
64 Ratings
4% below category average
Automatic software patching00 Ratings8.017 Ratings
Database scalability00 Ratings8.963 Ratings
Automated backups00 Ratings8.524 Ratings
Database security provisions00 Ratings8.757 Ratings
Monitoring and metrics00 Ratings8.259 Ratings
Automatic host deployment00 Ratings8.013 Ratings
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ClicDataGoogle BigQuery
Small Businesses
BrightGauge
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Score 8.9 out of 10
IBM Cloudant
IBM Cloudant
Score 8.0 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
IBM Cloudant
IBM Cloudant
Score 8.0 out of 10
Enterprises
Jaspersoft Community Edition
Jaspersoft Community Edition
Score 9.7 out of 10
IBM Cloudant
IBM Cloudant
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ClicDataGoogle BigQuery
Likelihood to Recommend
10.0
(3 ratings)
8.7
(64 ratings)
Likelihood to Renew
-
(0 ratings)
7.8
(3 ratings)
Usability
10.0
(1 ratings)
7.7
(5 ratings)
Support Rating
10.0
(1 ratings)
8.7
(10 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
Professional Services
-
(0 ratings)
8.2
(2 ratings)
User Testimonials
ClicDataGoogle BigQuery
Likelihood to Recommend
ClicData
We used ClicData dashboards in a somewhat unorthodox way: we used "Indicators", or icons within tables to represent data, and the results looked great. The ability to integrate 3rd party HTML into dashboards was valuable (although Clic Data correctly warns that response time may suffer). The ability to start small and release dashboards incrementally suited our needs very well. We also valued the responsive account team getting us quickly pointed in the right direction.
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Google
It can easily fetch the App ratings and reviews from the marketplaces. You can slide and dice the data and share the results with different data personas with varying access levels. It is very well suited to the Looker BI solution and is just a few clicks away. It can run and schedule queries easily and dump the data in a preferred location.
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Pros
ClicData
  • Ease of use, I can put together a dashboard in about an hour that is used by daily.
  • Support, their support team is super helpful and always has detailed insight.
  • Connectors, they have a huge number of connectors that allow easy integration of your data sources.
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Google
  • First and foremost - Google BigQuery is great at quickly analyzing large amounts of data, which helps us understand things like customer behavior or product performance without waiting for a long time.
  • It is very easy to use. Anyone in our team can easily ask questions about our data using simple language, like asking ChatGPT a question. This means everyone can find important information from our data without needing to be a data expert.
  • It plays nicely with other tools we use, so we can seamlessly connect it with things like Google Cloud Storage for storing data or Data Studio for creating visual reports. This makes our work smoother and helps us collaborate better across different tasks.
Read full review
Cons
ClicData
  • More widgets.
  • Sometimes it takes a while to refresh.
Read full review
Google
  • It is challenging to predict costs due to BigQuery's pay-per-query pricing model. User-friendly cost estimation tools, along with improved budget alerting features, could help users better manage and predict expenses.
  • The BigQuery interface is less intuitive. A more user-friendly interface, enhanced documentation, and built-in tutorial systems could make BigQuery more accessible to a broader audience.
Read full review
Likelihood to Renew
ClicData
No answers on this topic
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
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Usability
ClicData
Like I mentioned before, the ease of use means we not only get very quick results and beautiful dashboards in minutes, it means my team is actually using it because they aren't frustrated in the learning curve or wasting time trying to accomplish simple tasks.
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Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
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Support Rating
ClicData
We've only needed support a couple times in the beginning as we were learning the system and how to display our data in interesting ways. Every time we reached out we got very detailed responses and were connected to someone that you could tell was very interested in making sure we were happy with how things were going.
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Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
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Alternatives Considered
ClicData
ClicData was the most flexible. It is cloud-based and even has WebService access. You can publish your data for access from other applications. The sheer number of data connectors is amazing. The ability to not only create dashboards, but you can schedule them to be delivered to specific recipients on a scheduled basis via PDF or a static HTML page.
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Google
First and foremost, Google BigQuery's pricing structure, based on data processing and storage, is more cost-effective for our needs. Secondly, since we already use other Google Cloud services, its tight integration with them especially, with Cloud Storage and Dataflow was a big plus and streamlined data transfer and simplified our workflows. Apart from that, as my team deals with large datasets and complex queries, we need a serverless architecture technology that has an edge in terms of query speed and scalability for our specific needs.
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Contract Terms and Pricing Model
ClicData
No answers on this topic
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
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Professional Services
ClicData
No answers on this topic
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
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Return on Investment
ClicData
  • ClicData was by far the most reasonable cost-wise, and we were able to get ROI within just minutes of using it.
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Google
  • Integrate well with google data visualization tools that can save a lot of money on licensing of other tools.
  • Requires basic SQL skills which are transferrable and saves money spent on training.
  • Gives an all out data retrieval and storage service which makes it a lot easier for employees across organization to fetch data.
Read full review
ScreenShots

ClicData Screenshots

Screenshot of Screenshot of ClicData's data warehouse where all your company's data is centralized.Screenshot of Some of ClicData's connectors. 250+ data connections are available.Screenshot of Preview of a joint between datasets from two different sources. Do basic or advanced data transformations with ClicData's ETL features.Screenshot of Daily Sales Productivity dashboard exampleScreenshot of Financial KPIs Dashboard example

Google BigQuery Screenshots

Screenshot of Migrating data warehouses to BigQuery - Features a streamlined migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the fully managed BigQuery Migration Service.Screenshot of bringing any data into BigQuery - Data files can be uploaded from local sources, Google Drive, or Cloud Storage buckets, using BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, by replicating data from relational databases with Datastream for BigQuery, or by leveraging Google's data integration partnerships.Screenshot of generative AI use cases with BigQuery and Gemini models - Data pipelines that blend structured data, unstructured data and generative AI models together can be built to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. It can be accessed using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Screenshot of insights derived from images, documents, and audio files, combined with structured data - Unstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, users can derive insights from images, documents, and audio files using a broad range of AI models including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or custom models.Screenshot of event-driven analysis - Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows users to make business decisions based on the freshest data. Or Dataflow can be used to enable simplified streaming data pipelines.Screenshot of predicting business outcomes AI/ML - Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets.