Last updated on
Ratings
Google Cloud BigTable description
Google Cloud BigTable is a database service designed for handling massive amounts of data. It's the same system that powers Google Search and Gmail. BigTable excels at managing data that changes over time, like sensor readings or financial transactions. It offers consistent speed and smooth performance, making it suitable for applications that need to analyze data in real-time and for storing large amounts of historical data. BigTable is a good option for companies that need a robust and scalable database solution but prefer not to manage the technical complexities themselves.
Who is Google Cloud BigTable best for
Google Cloud BigTable is a powerful database service for managing massive datasets. Praised for its scalability and performance, BigTable excels at handling evolving data like financial transactions and sensor readings. It's a fully managed service, minimizing manual intervention, and integrates seamlessly with other Google Cloud services. However, users note the high cost and complex setup. Best for companies with large datasets and high-performance needs in finance, tech, and related sectors.
-
Best for medium to large businesses (101+ employees), especially large enterprises.
-
Ideal for finance, tech, and related sectors needing robust data solutions.
Google Cloud BigTable features
| Supported BigTable supports high-cardinality analytics with careful schema design. |
| Supported BigTable allows querying data as of a specific point in the past using timestamps. |
| Supported BigTable efficiently handles time series data and metadata using row keys, column keys, and timestamps. |
| Supported BigTable supports cloud scalability through automatic scaling and horizontal scaling. |
| Supported BigTable organizes data with row keys and column families for efficient access. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
Google Cloud BigTable reviews
We've summarised 50 Google Cloud BigTable reviews (Google Cloud BigTable G2 reviews) and summarised the main points below.
- Excellent scalability and performance, handling petabytes of data.
- Fully managed service, minimizing manual intervention.
- Seamless integration with other Google Cloud services like BigQuery and Dataflow.
- Strong consistency, suitable for fintech applications.
- Supports high read/write throughput with low latency.
- High pricing, especially when scaling.
- Lacks full-text search capabilities.
- Requires careful data modeling due to lack of secondary indexes.
- Complex setup and management, challenging for those new to NoSQL or distributed systems.
- Limited API options compared to similar products.
Google Cloud BigTable pricing
The commentary is based on 14 reviews from Google Cloud BigTable G2 reviews.
BigTable offers excellent scalability and performance, but reviews indicate its pricing can be a concern, especially for scaling applications and smaller projects with limited budgets. Some users find the cost high compared to competitors.
Users sentiment
Google Cloud BigTable alternatives
Google Cloud BigQueryBetter for data warehousing and analytics. More user-friendly. Wider industry applicability. Better for small businesses.Read more
Microsoft SQL ServerBetter for companies of all sizes needing diverse data analysis across various environments. Supports standard SQL and T-SQL. Easier integration with other Microsoft products. Has broader industry applicability. Is growing faster.Read more
MongoDB AtlasBetter for developers and businesses seeking a user-friendly cloud database. More suitable for Software, IT & Telecommunications. Has broader industry applicability but less suited for finance, e-commerce, and retail. Growing faster than Google Cloud BigTable.Read more
ClickHouseOpen-source with a free option and growing faster. Better for small businesses. Offers real-time data warehousing capabilities.Read more
mSQLBetter for small to medium businesses needing a lightweight SQL database. Open-source and free to use. Not suitable for large datasets or complex requirements. Lacks advanced features.Read more
Google Cloud BigTable FAQ
What is Google Cloud BigTable and what does Google Cloud BigTable do?
Google Cloud BigTable is a NoSQL, wide-column store database service offering high performance and scalability. Ideal for large datasets and high-throughput read/write operations, BigTable powers applications requiring real-time data analysis and low latency, like financial transactions and IoT data processing.
How does Google Cloud BigTable integrate with other tools?
BigTable seamlessly integrates with other Google Cloud services like BigQuery for data warehousing, Dataflow for stream and batch processing, and Cloud Storage. This integration enables efficient data transfer and analysis within the Google Cloud ecosystem.
What the main competitors of Google Cloud BigTable?
Top alternatives to Google Cloud BigTable include Google Cloud BigQuery, MongoDB Atlas, and ClickHouse. These databases offer various features and capabilities for managing and analyzing large datasets, catering to different needs and preferences. Microsoft SQL Server and mSQL are also viable alternatives.
Is Google Cloud BigTable legit?
Yes, Google Cloud BigTable is a legitimate and safe database service. It's the same system that powers Google Search and Gmail, known for its excellent scalability and performance for handling massive datasets. It's a robust, fully managed solution ideal for high-performance needs in the tech and finance industries.
How much does Google Cloud BigTable cost?
Google Cloud BigTable pricing depends on several factors like storage, network usage, and instance type. There's no fixed price listed, so checking Google Cloud's official documentation or contacting their sales team is recommended for detailed product pricing.
Is Google Cloud BigTable customer service good?
Customer reviews on Google Cloud services are mixed. While some praise the customer support as "good", others describe support plans as "terrible". More information is needed to determine overall customer service quality.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.