Amplitude Analytics vs. Google BigQuery

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amplitude Analytics
Score 8.2 out of 10
N/A
Amplitude Analytics is an analytics platform for mobile and web. It is designed to help organizations segment users and analyze funnels, retention and revenue. Amplitude Analytics helps you achieve actionable insights from customer digital journeys and uses behavioral graphs to build customer-focused products. Amplitude also optimizes digital products for increased quality engagements, increased conversion rates, and long-term customer loyalty.
$59
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
Amplitude AnalyticsGoogle BigQuery
Editions & Modules
Plus
$49
per month (paid annually)
Growth
Contact Sales
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Offerings
Pricing Offerings
Amplitude AnalyticsGoogle BigQuery
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Amplitude AnalyticsGoogle BigQuery
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amplitude Analytics
-
Ratings
Google BigQuery
8.4
71 Ratings
4% below category average
Automatic software patching00 Ratings8.017 Ratings
Database scalability00 Ratings9.070 Ratings
Automated backups00 Ratings8.524 Ratings
Database security provisions00 Ratings8.864 Ratings
Monitoring and metrics00 Ratings8.266 Ratings
Automatic host deployment00 Ratings8.013 Ratings
Best Alternatives
Amplitude AnalyticsGoogle BigQuery
Small Businesses
Mixpanel
Mixpanel
Score 8.9 out of 10
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
Medium-sized Companies
Whatfix
Whatfix
Score 8.7 out of 10
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
Enterprises
Whatfix
Whatfix
Score 8.7 out of 10
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amplitude AnalyticsGoogle BigQuery
Likelihood to Recommend
8.0
(31 ratings)
8.8
(71 ratings)
Likelihood to Renew
10.0
(1 ratings)
7.8
(3 ratings)
Usability
7.7
(3 ratings)
7.7
(5 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Performance
10.0
(1 ratings)
-
(0 ratings)
Support Rating
9.0
(6 ratings)
7.7
(10 ratings)
In-Person Training
8.0
(1 ratings)
-
(0 ratings)
Online Training
7.0
(1 ratings)
-
(0 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
Configurability
8.0
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
10.0
(1 ratings)
Ease of integration
9.0
(1 ratings)
-
(0 ratings)
Product Scalability
8.0
(1 ratings)
-
(0 ratings)
Professional Services
-
(0 ratings)
8.2
(2 ratings)
Vendor post-sale
9.0
(1 ratings)
-
(0 ratings)
Vendor pre-sale
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Amplitude AnalyticsGoogle BigQuery
Likelihood to Recommend
Amplitude
Amplitude Analytics is an excellent solution for anyone with a mobile app and you want to track what users are doing, are they completing conversion steps, and are they coming back more often. This all helps you visual your customer bases engagement and help project future engagement and create goals. This also helps with prioritizing products to address drop-off points in the product to increase conversions.
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Google
Google BigQuery is great for being the central datastore and entry point of data if you're on GCP. It seamlessly integrates with other Google products, meaning you can ingest data from other Google products with ease and little technical knowledge, and all of it is near real-time. Being serverless, BigQuery will scale with you, which means you don't have to worry about contention or spikes in demand/storage. This can, however, mean your costs can run away quickly or mount up at short notice.
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Pros
Amplitude
  • Feature analytics - measuring frequency of usage
  • Time taken by users to convert in funnels
  • Actions that drive certain user behaviors in funnels via correlation
  • Actions that lead to user drop off in funnels via correlation
  • Comparing behavior of two custom user cohorts
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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.
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Cons
Amplitude
  • Some offerings seem duplicative, like dashboards and notebooks, which only seem to differ in that one can subscribe to dashboards
  • The messaging on valid vs invalid property types could be better explained to clarify which types (string, Boolean, integer, etc) are expected in particular scenarios. Though the type is usually set during event creation, we've often seen examples where the data received in production is different, leading to 'invalid type' errors
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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.
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Likelihood to Renew
Amplitude
Great product Good value for the cost/initiate Support docs and FAQs are great - they limit the necessity of reaching out to in-person support. So when you do call them ... it is for a legit question/issue, no just a "where is it" or a "how to I do xyz123?"
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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
Amplitude
It's a fairly straightforward platform that's beginner friendly. The biggest usability hurdle is most often created by your own team, as it's imperative to know what event sources are being sent to Amplitude and what those event names are. Within being properly onboarded by a team member it can be hard to get started using Amplitude. It takes time to understand what data your company may be sending to the product, the naming conventions of events (especially if there are old or deprecated events names
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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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Reliability and Availability
Amplitude
Alway up and running, or if there is a problem we can get back in the game right away. The reliability was a big selling point for me, and it was true when this company got it. Rollouts can be tough, but this was pretty seamless. Good support throughout the process, good documentation to handle questions/tips
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Google
No answers on this topic
Performance
Amplitude
No issues, problems, or negative remarks from us!! We had a plan, vendor support was rock solid, our data folks have experience, OCM supported as needed, and we got the rollout done on time, on budget, and with only minor hiccups. SInce the rollout, most of us have already forgotten the hiccups and generally speak highly of the product
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Google
No answers on this topic
Support Rating
Amplitude
I haven't used the Amplitude support other than their training docs so I can't speak too much to the in-person support but the docs are serviceable. Nothing too crazy but between the user tips, email notifications, and the decent number of docs I was able to get the support I needed to ramp up on the tool.
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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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In-Person Training
Amplitude
Virtual Not bad considering the timeframe and turnaround. The biggest benefit was for my end-users to hear a voice (other than mine/ours! LOL) telling them about the new features and capabilities. The in-person training was really good for having an expert that knows the answers and could refer to past experiences, problems, solutions. THey were a great resource to ease the transition ... basically a "you are gonna be okay with this change ... you got this etc.!" kinda vibe
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Google
No answers on this topic
Online Training
Amplitude
Good enough to get strong baseline. I always make sure our our users go to and/or focus on the vebndor-provided support docs rather than any formal training. Our instructors come and go, but written policy and how-to docs live much longer in a corporate setting. That said, the online training is sufficient. I like that the training curric is stacked and progressive.
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Google
No answers on this topic
Implementation Rating
Amplitude
My team members all have background as data analysts, so Amp was pretty easy to for them. There was sufficient online training available. We also used the available support documents. The actual rollout went well. We did significant testing beforehand. We did a phased rollout, with partial silent rollout (part of OCM's plan) for the smallest line of business. THe silent one was "silent" b/c it was done without fanfare or public notices ... it was just a "we're doing some things, it wont impact your work or workday
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Google
No answers on this topic
Alternatives Considered
Amplitude
Amplitude Analytics provides much more granular data than Google Analytics and gives you much more flexibility in how you can segment and splice the data. It also provides the ability to create closed funnels, which I have yet to find out how to do in Google Analytics. Amplitude has a very similar interface to Mixpanel, with a few handy additions, like the ability to name and categorize your events.
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Google
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
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Contract Terms and Pricing Model
Amplitude
It is a good product. You have to pay for quality ... kinda like buying a Lexus or a Toyota instead of a Buick or a Chevy
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Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
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Scalability
Amplitude
Like all the other grades, it was mostly an easy implementation ... we have experience people, the rollout in general is well planned, and the vendor was very supportive
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Google
No answers on this topic
Professional Services
Amplitude
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
Amplitude
  • It collects data of great importance which allows to make product improvements.
  • It easily identifies problems a user may have with the product.
  • The flow of users who have used the product has improved, thus being able to generate more income thanks to the improvements and new functions.
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Google
  • Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
  • We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
  • Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
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ScreenShots

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.