Claris FileMaker vs Google Cloud Bigtable comparison

Apple and Google are both solutions in the Non-Relational Databases category. Apple is ranked #4, while Google is ranked #5 with an average rating of 8.0. Apple holds a 6.0% mindshare in NRD, compared to Google’s 6.1% mindshare. Additionally, 66% of Apple users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Claris FileMaker

Read 5 Claris FileMaker reviews

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371 Comparison Views

66% willing to recommend

Google Cloud Bigtable

Read 9 Google Cloud Bigtable reviews

897 Views
251 Comparison Views

100% willing to recommend

Claris FileMaker

Google Cloud Bigtable

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Executive SummaryUpdated on Jan 15, 2026

Claris FileMaker and Google Cloud Bigtable are competing products in the database management category. FileMaker seems to have the upper hand in small to medium-sized business solutions due to its user-friendly interface, while Bigtable stands out for handling large-scale enterprise data effortlessly.

Features: Claris FileMaker provides intuitive app-building tools, seamless software integration, and a focus on customizability. Google Cloud Bigtable is notable for scalability, handling millions of requests per second, and smooth integration with Google Cloud services.

Room for Improvement: Claris FileMaker could improve by enhancing its scalability for larger enterprises and expanding its cloud infrastructure. Simplifying integration for more diverse platforms could also benefit users. Google Cloud Bigtable could focus on reducing its technical complexity, improving cost predictability, and developing more user-friendly interfaces.

Ease of Deployment and Customer Service: Claris FileMaker offers straightforward deployment with comprehensive support, suitable for rapid implementations. Google Cloud Bigtable requires cloud technology expertise for deployment but provides advanced support for complex technical setups.

Pricing and ROI: Claris FileMaker offers upfront pricing with flexible licensing, allowing predictable investments and quick ROI for smaller needs. Google Cloud Bigtable uses a pay-as-you-go model, offering scalability for data-intensive operations, potentially reducing costs long-term with its efficient cloud resource management.

To learn more, read our detailed Claris FileMaker vs. Google Cloud Bigtable Report (Updated: February 2026).

Buyer's Guide

Claris FileMaker vs. Google Cloud Bigtable

February 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Claris FileMaker

Ranking in Non-Relational Databases

4th

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Bigtable

Ranking in Non-Relational Databases

5th

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (10th)

Mindshare comparison

As of February 2026, in the Non-Relational Databases category, the mindshare of Claris FileMaker is 6.0%, down from 6.5% compared to the previous year. The mindshare of Google Cloud Bigtable is 6.1%, up from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Non-Relational Databases Market Share Distribution
Product	Market Share (%)
Claris FileMaker	6.0%
Google Cloud Bigtable	6.1%
Other	87.9%

Non-Relational Databases

Featured Reviews

reviewer1668102

Director, Service Training at a construction company with 5,001-10,000 employees

User friendly with a good interface and good scalability

I like FileMaker due to the fact that it's relational. You can put it right in and it's user-friendly. It's easy to code and it's easy to make things. You can design reports and so on. It doesn't require a whole lot of coding experience. I've used FileMaker in the past. I've used a program, platform called Omnis, which is a RAD, a rapid application development program. We're just trying to find some tools. We've got lots of data, lots of data and Excel has not changed since 1989 or thereabouts. The structure has not changed. It's still the same old entry formula, and you've got limited space and no debugger. Its reporting is not easy. You could spend your life understanding Excel. No one can afford to do that anymore. FileMaker is much easier. It's a pretty good tool and there's a lot of support and there's a lot of people out there that know how to use it. FileMaker has done a good job setting up value-added resellers, much like Adobe Connect. It has a pretty good interface.

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Akash Shanker

Team Lead at a financial services firm with 5,001-10,000 employees

Consistent performance and seamless cloud integration enhance analytics capabilities while reducing management complexity

One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users. Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I have found its resilience to attack most valuable. It's really difficult to attack the software."

"It's a pretty good tool and there's a lot of support and there's a lot of people out there that know how to use it."

"The cross-platform Mac and Windows feature is most valuable. I can do all sorts of stuff with this tool. It has got all sorts of automation capabilities. I have used some of them, but I have barely scratched the surface of what it can do on automation. It is user-friendly, and it integrates well with other products. There are other third-party options that you can buy or in some cases, download for free to even extend it further. I use one or two of those."

"It's a good application that's easy to use."

"The most valuable feature is the backup and replication service."

"Scalability-wise, I rate the solution a ten out of ten."

"The solution is very convenient."

"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."

"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."

"This solution is much more scalable than more traditional databases - at least the ones we are aware of."

"It's very user-friendly where streaming data is required."

"The main benefit I receive from Google Cloud Bigtable is the managed service part."

More Google Cloud Bigtable pros

Cons

"The UE is not very up-to-date. It looks like something that was created in the 90s. In that sense, the user experience is lacking."

"FileMaker has some convoluted pricing."

"Multimedia data management is not really developed in FileMaker."

"They're always improving it, and I have been quite pleased with their improvements. There is some organizational stuff that I'd like to see done differently. They should make a structure so that you can have the data in one file and the app, the scripts, and the program in another file. I would like to be able to easily share scripts between different databases. I write stuff, and some of the functions are shared across different databases. So, I have to copy them from one database to another. I wouldn't mind an infrastructure where I had a file, and on loading the program, this file is loaded with the functions that I had written. I can then call them from any database that I happen to be using. Currently, you have a database open that has all of its data pieces and program pieces, and then you open another database that has got all of its data pieces and program pieces. Nothing is shared between them. When I write a complex function and I want to use it in two or three different databases, I have to copy it to each one of them and also remember where all it is used. It would be good if it has a little bit different organizational structure so that you could put your shared stuff in one place, and it loads the stuff. It is just an architectural difference. I've sent this requirement to them, but I doubt if that's going to happen. It is a huge system, and making changes for a single individual doesn't happen that quickly."

"The cost of this product is too expensive."

"The lagging problem of the product I face is an area of concern where improvements are required."

"I've used Bigtable for about three or four years."

"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."

"Improvement should be made as per customer recommended and requirements."

"This product needs better security and transparency, and the price should be reduced."

"The pricing of the solution needs to be improved."

Pricing and Cost Advice

"Its price is pretty reasonable. I am at a university. We get educational discount pricing from most of the major vendors."

"I would like to see better pricing. It is not too expensive, but it isn't cheap either."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

Computer Software Company

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	4

Questions from the Community

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What do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

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What needs improvement with Google Cloud Bigtable?

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What is your primary use case for Google Cloud Bigtable?

My main use case for Google Cloud Bigtable is mainly for advertisement-related analytics-related use cases.

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Comparisons

Oracle Berkeley DB vs Claris FileMaker

Compared 100% of the time

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Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 24% of the time

Amazon DynamoDB vs Google Cloud Bigtable

Compared 18% of the time

MongoDB Enterprise Advanced vs Google Cloud Bigtable

Compared 15% of the time

Amazon Keyspaces vs Google Cloud Bigtable

Compared 14% of the time

Timescale vs Google Cloud Bigtable

Compared 7% of the time

More Google Cloud Bigtable Competitors

Product Reports

Buyer's Guide

Claris FileMaker

January 2026

Download Claris FileMaker product report

Buyer's Guide

Managed NoSQL Databases

January 2026

Download Google Cloud Bigtable product report

Also Known As

No data available

Google BigTable

Overview

Cross-platform relational database application

Apple

Google Cloud Bigtable provides large data capacity, fast computation speed, and robust security for efficient data management. It supports seamless querying and integration, making it suitable for users transitioning to the cloud.

Google Cloud Bigtable is a managed service offering that facilitates efficient data handling through its high-performance capabilities and compatibility with other NoSQL databases. It is highly valued for its ability to manage and analyze large datasets, offering features like backup and replication, and is known for being faster than many competitors. Despite its strengths, users express concerns over its pricing, querying complexity, occasional performance lag, and difficulty in choosing between Bigtable and other services. There's also interest in its potential for integration with emerging technologies like LLMs for generative AI applications.

What are the key features of Google Cloud Bigtable?

Large Data Capacity: Supports immense volumes of data, essential for big data initiatives.
Seamless Querying: Queries large datasets with efficiency and speed.
Backup and Replication: Provides data reliability and easy recovery.
Low Latency: Ensures fast response times for queries and operations.
High Computation Speed: Offers rapid data processing capabilities.

What benefits should users look for in reviews?

Data Security: Provides robust security for sensitive data.
Ease of Analysis: Simplifies the process of collating and analyzing data.
Cloud Integration: Compatible with other NoSQL databases, aiding cloud transitions.
Fast Performance: Noted for being quicker than many alternatives.

Industries implement Google Cloud Bigtable for data management tasks such as managing large datasets, resolving production issues, and generating insights through dashboards. It is used in advertising analytics, client data evaluation in Power BI reports, and some automotive clients employ it for specialized needs, integrating business data into Google's ecosystem for efficient analysis.

Google

Sample Customers

VUHL, Reynolds Services Inc., Market Refrigeration Specialists, Sea Breeze Farm, Jordan Lindblad, Henry Schein Dental

Cognite, Dow Jones, Loblaw Digital

Buyer's Guide

Claris FileMaker vs. Google Cloud Bigtable

February 2026

Free Report: Claris FileMaker vs. Google Cloud Bigtable

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