Google Cloud Bigtable vs Oracle Berkeley DB comparison

Google and Oracle are both solutions in the Non-Relational Databases category. Additionally, 100% of Google users are willing to recommend the solution, compared to 66% of Oracle users who would recommend it.

Google Cloud Bigtable

Read 9 Google Cloud Bigtable reviews

100% willing to recommend

Oracle Berkeley DB

Read 5 Oracle Berkeley DB reviews

815 Views
318 Comparison Views

66% willing to recommend

Google Cloud Bigtable

Oracle Berkeley DB

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Executive SummaryUpdated on Jan 15, 2026

Oracle Berkeley DB and Google Cloud Bigtable are key players in the database solutions market. Google Cloud Bigtable leads with its scalability and feature set, appealing to businesses handling large-scale applications.

Features: Oracle Berkeley DB is favored for high-performance transactions, efficient data storage, and being lightweight. Google Cloud Bigtable offers scalability, real-time analytics, and seamless integration with Google Cloud services.

Room for Improvement: Oracle Berkeley DB could enhance its cloud integration, user interface, and real-time analytics capabilities. Google Cloud Bigtable might improve by reducing initial setup costs, increasing support options, and providing more offline features.

Ease of Deployment and Customer Service: Oracle Berkeley DB provides on-premises deployment and offers flexibility and direct infrastructure control. Google Cloud Bigtable benefits from cloud-native deployment within Google's ecosystem and utilizes Google's global infrastructure for support.

Pricing and ROI: Oracle Berkeley DB offers predictable licensing costs for low-overhead projects. Google Cloud Bigtable, though initially higher in cost, provides robust ROI through advanced capabilities and reduced operational overhead over time.

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January 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

Google Cloud Bigtable

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (10th)

Oracle Berkeley DB

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Embedded Database (7th), Non-Relational Databases (1st)

Featured Reviews

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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Emad Mokhatab

Solution & Software System Architect at Shaparak

Easy to integrate and manage the setup phase

One of the things that I want to see in Oracle Berkeley DB is a driver for reactive programming. I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into. Other tools have become more innovative in many areas. I know that Oracle has many responsibilities in maintaining the situation with the current projects and so on. I think it would be very cool if Oracle could make improvements to its projects, as it can help me with my current projects. One reason why I don't choose Oracle Berkeley DB is because we want to go for reactive programming, along with Project Reactor from Spring, but we don't have the official driver for it.

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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

"The solution is very convenient."

"Scalability-wise, I rate the solution 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."

"I like the drive and the support of this program."

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

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

More Google Cloud Bigtable pros

"The product meets all the essential business requirements."

"The tool's performance is good, and I don't have any problems with it."

Cons

"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."

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

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

"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."

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

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

"I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into."

"The product's interface could be more intuitive and user-friendly."

Pricing and Cost Advice

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

"There is a need to pay for the licenses and features of the tool."

"I rate the product's pricing a five out of ten."

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Top Industries

By visitors reading reviews

Computer Software Company

University

Financial Services Firm

Manufacturing Company

University

14%

Computer Software Company

13%

Government

11%

Financial Services Firm

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	3

No data available

Questions from the Community

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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What is your experience regarding pricing and costs for Oracle Berkeley DB?

There is a need to pay for the licenses and features of the tool. It can help other people use the tool properly.

See all answers

What needs improvement with Oracle Berkeley DB?

See all answers

What advice do you have for others considering Oracle Berkeley DB?

Giving out some free subscriptions and offering some premium plans for enterprise solutions that Oracle presents to the audience can help other people who want to use it. Being more agile in adapti...

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Comparisons

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 27% of the time

Amazon DynamoDB vs Google Cloud Bigtable

Compared 19% of the time

MongoDB Enterprise Advanced vs Google Cloud Bigtable

Compared 18% of the time

Amazon Keyspaces vs Google Cloud Bigtable

Compared 11% of the time

InfluxDB vs Google Cloud Bigtable

Compared 5% of the time

More Google Cloud Bigtable Competitors

SQLite vs Oracle Berkeley DB

Compared 38% of the time

MongoDB Enterprise Advanced vs Oracle Berkeley DB

Compared 32% of the time

DuckDB vs Oracle Berkeley DB

Compared 10% of the time

InterSystems Caché vs Oracle Berkeley DB

Compared 7% of the time

More Oracle Berkeley DB Competitors

Product Reports

Buyer's Guide

Managed NoSQL Databases

January 2026

Download Google Cloud Bigtable product report

Buyer's Guide

Embedded Database

December 2025

Download Oracle Berkeley DB product report

Also Known As

Google BigTable

Berkeley DB

Overview

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

Oracle Berkeley DB provides the best open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model. At its core is a fast, scalable, transactional database engine with proven reliability and availability. Berkeley DB comes three versions: Berkeley DB, Berkeley DB Java Edition, and Berkeley DB XML.

The Oracle Berkeley DB family of high performance, self-contained databases provides developers with a fast, transactional database solution with a track record of reliability, unmatched scalability and five-nines (99.999%) or better availability. Oracle Berkeley DB is well suited to Independent Software Vendors, device and equipment manufacturers, and enterprises or software companies building solutions which need a data management component. The Oracle Berkeley DB family of products provides fast, local persistence with zero oversight administration.

Customers and end-users will experience an application that simply works, reliably manages data, scales under extreme load, and requires zero oversight in deployment. Your development team can focus on your application and be confident that Berkeley DB will manage your application’s data.

For more information on Oracle Berkeley DB, visit Oracle.com

Oracle

Sample Customers

Cognite, Dow Jones, Loblaw Digital

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January 2026

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