Top 10 Google Cloud Bigtable Alternatives

Name: Google Cloud Bigtable
Brand: Google
Rating: 4.3 (9 reviews)

Vendor: Google

4.3 out of 5

9 reviews
100% willing to recommend

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Top Google Cloud Bigtable Competitors

Discover the top alternatives and competitors to Google Cloud Bigtable based on the interviews we conducted with its users. The top alternative solutions include Microsoft Azure Cosmos DB, MongoDB Enterprise Advanced, and InfluxDB. The alternatives are sorted based on how often peers compare the solutions. Google Cloud Bigtable surpasses its competitors by offering massive scalability, seamless integration with the Google Cloud ecosystem, and low latency, making it an ideal choice for real-time analytics and high-throughput workloads.

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Microsoft Azure Cosmos DB

4.1 out of 5

Microsoft Azure Cosmos DB

4.1 out of 5

Google Cloud Bigtable excels in high-performance, scalable applications needing high throughput. In comparison, Microsoft Azure Cosmos DB offers versatility with a globally distributed model and multi-model support, appealing to those needing diverse, complex deployments with comprehensive, multi-regional capabilities and robust support.

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Pricing

Google Cloud Bigtable's setup cost is lower, making it more affordable for smaller teams, while Azure Cosmos DB offers a higher initial expense due to its extensive features and scalability options.

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Pricing

Google Cloud Bigtable's setup cost is lower, making it more affordable for smaller teams, while Azure Cosmos DB offers a higher initial expense due to its extensive features and scalability options.

MongoDB Enterprise Advanced

4.1 out of 5

MongoDB Enterprise Advanced

4.1 out of 5

MongoDB Enterprise Advanced offers flexibility and scalability with a focus on document management and security. In comparison, Google Cloud Bigtable excels in handling vast datasets with high performance and low latency, appealing to businesses requiring rapid processing and comprehensive managed service capabilities.

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Pricing

MongoDB Enterprise Advanced has higher setup costs, providing robust database solutions, while Google Cloud Bigtable offers a more cost-effective setup with scalable cloud capabilities, highlighting a significant difference in initial investment and resource allocation.

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Pricing

InfluxDB

4.1 out of 5

InfluxDB

4.1 out of 5

InfluxDB offers cost-effective time-series data handling with open-source support, attracting those focused on affordability. In comparison, Bigtable's high-performance managed services are ideal for users valuing seamless large-scale data management, despite its higher cost.

Pricing

InfluxDB offers a straightforward setup with a competitive initial cost, while Google Cloud Bigtable presents a higher setup cost reflecting its robust scalability and integration capabilities. Their setup cost difference impacts the budget considerations significantly.

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Pricing

Amazon DynamoDB

4.1 out of 5

Amazon DynamoDB

4.1 out of 5

Google Cloud Bigtable appeals to high-throughput users with low-latency needs and Google integration. In comparison, Amazon DynamoDB, offering global tables and strong consistency, attracts users needing automated scaling within AWS. DynamoDB's pay-per-request model and extensive features cater to resource-efficient, complex applications.

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Pricing

Google Cloud Bigtable's setup cost is straightforward, reflecting a pay-as-you-go model, while Amazon DynamoDB offers a tiered pricing structure, which can become costly as usage scales.

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Pricing

Google Cloud Bigtable's setup cost is straightforward, reflecting a pay-as-you-go model, while Amazon DynamoDB offers a tiered pricing structure, which can become costly as usage scales.

Oracle Berkeley DB

3.6 out of 5

Oracle Berkeley DB

3.6 out of 5

Oracle Berkeley DB appeals to those needing a lightweight, embeddable database for local data management. In comparison, Google Cloud Bigtable attracts buyers seeking robust scalability and seamless Google ecosystem integration for handling big data and real-time analytics effectively.

Pricing

Oracle Berkeley DB generally offers lower initial setup costs compared to Google Cloud Bigtable, making it a more budget-friendly option for smaller setups, while Bigtable tends to incur higher setup expenses due to its scale and cloud infrastructure.

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Pricing

Amazon Timestream

4.5 out of 5

Amazon Timestream

4.5 out of 5

Google Cloud Bigtable is preferred for handling massive datasets with scalability and performance. In comparison, Amazon Timestream excels in time-series analysis with specialized features. Bigtable supports seamless Google integration, while Timestream is tailored for time-sensitive analytics, affecting deployment and pricing considerations.

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Pricing

Google Cloud Bigtable requires a significant initial setup investment, while Amazon Timestream offers more streamlined and cost-effective setup options, making it potentially more accessible for businesses seeking a quick and budget-friendly implementation.

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Pricing

Amazon Keyspaces

1 out of 5

Amazon Keyspaces

1 out of 5

Google Cloud Bigtable offers high-speed analytics through seamless integration with Google Cloud services. In comparison, Amazon Keyspaces provides flexibility with Apache Cassandra compatibility. Tech buyers might choose Bigtable for performance and integration, while Keyspaces appeals with cost-effective entry and open-source alignment.

Pricing

Google Cloud Bigtable offers a straightforward setup at a predictable cost, while Amazon Keyspaces provides a flexible setup with potentially variable expenses depending on usage.

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Pricing

Google Cloud Bigtable offers a straightforward setup at a predictable cost, while Amazon Keyspaces provides a flexible setup with potentially variable expenses depending on usage.

Amazon SimpleDB

4.0 out of 5

Amazon SimpleDB

4.0 out of 5

Amazon SimpleDB offers cost-effectiveness and simplicity, attracting users with lightweight needs. In comparison, Google Cloud Bigtable provides superior scalability and performance, benefiting enterprises handling large data volumes. Amazon SimpleDB's ease appeals to cost-sensitive users, while Bigtable supports complex requirements with robust customer support and ROI.

Pricing

Amazon SimpleDB offers a flexible pricing model with no setup costs, while Google Cloud Bigtable requires an initial setup cost.

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Pricing

Amazon SimpleDB offers a flexible pricing model with no setup costs, while Google Cloud Bigtable requires an initial setup cost.

Oracle NoSQL Database Cloud

1 out of 5

Oracle NoSQL Database Cloud

1 out of 5

Oracle NoSQL Database Cloud appeals to enterprises with flexible data models and integration within Oracle ecosystems. In comparison, Google Cloud Bigtable excels in massive scalability, ideal for real-time analytics. Oracle offers lower initial setup costs, while Google provides higher ROI for extensive scalability needs.

Pricing

Oracle NoSQL Database Cloud has a lower setup cost, while Google Cloud Bigtable involves higher initial expenses, highlighting the cost differences between the two solutions.

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Pricing

Oracle NoSQL Database Cloud has a lower setup cost, while Google Cloud Bigtable involves higher initial expenses, highlighting the cost differences between the two solutions.

Timescale

1 out of 5

Timescale

1 out of 5

Google Cloud Bigtable excels in scalability and integration with Google services, suitable for heavy data processing. In comparison, Timescale offers efficient time-series data handling with SQL support, attracting users needing advanced analytics. Additionally, Timescale's straightforward deployment is appealing for ease of use.

Pricing

Google Cloud Bigtable typically has a higher setup cost, while Timescale offers a more affordable initial pricing, highlighting the economic difference between the two solutions.

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Pricing

Google Cloud Bigtable typically has a higher setup cost, while Timescale offers a more affordable initial pricing, highlighting the economic difference between the two solutions.

Related categories

Managed NoSQL Databases

Non-Relational Databases

Database as a Service (DBaaS)