Head-to-head · Key-Value Databases
Aerospike Database vs Google Cloud Bigtable
Aerospike Database leads on 1 check, Google Cloud Bigtable on 1, and 3 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAerospike Database · 9.1/10
- Free planonly Aerospike Database
- Free trialonly Google Cloud Bigtable
Aerospike Database scores higher on our rubric for key-value databases: 9.1 against 9.0 out of 10; our editors rank them #2 and #3.
Aerospike Database offers free plan; Google Cloud Bigtable doesn't. On deployment model, Aerospike Database gives you Hybrid where Google Cloud Bigtable offers Cloud. Google Cloud Bigtable leads on maximum value size: 100 MB versus 8 MB.
Aerospike Database is the better fit for high-scale hybrid deployments with strong consistency. Google Cloud Bigtable is the better fit for large-scale analytical and wide-column workloads.
- Aerospike Database fits best
High-scale hybrid deployments with strong consistency
- Google Cloud Bigtable fits best
Large-scale analytical and wide-column workloads
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Side by side
| Feature | Aerospike Database 9.1/10 Visit ↗ | Google Cloud Bigtable 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 9.0 |
| Ranking | #2 in Key-Value Databases | #3 in Key-Value Databases |
| Best for | High-scale hybrid deployments with strong consistency | Large-scale analytical and wide-column workloads |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | $0.65/device usage-based |
| Free plan | ✓ (best) | — |
| Free trial | — | 10 days |
| Deployment | Cloud, Self-hosted | Cloud |
| Features Aerospike Database 3/3 · Google Cloud Bigtable 3/3 | ||
| TTL support | ✓ | ✓ |
| Clustering support | ✓ | ✓ |
| Multi-region support | ✓ | ✓ |
| Specs | ||
| Deployment model | Hybrid | Cloud |
| Maximum value size | 8 MB | 100 MB (best) |
| Persistence modes | Both | Both |
| Supported protocols | Aerospike wire protocol, Aerospike client API, TCP | gRPC, REST/HTTP, Apache HBase API, Apache Cassandra API, GoogleSQL |
| Our review | ||
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| Cons |
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| Our verdict | Aerospike Database is a distributed NoSQL database for enterprises building real-time applications with demanding latency, throughput, and scale requirements. It supports key-value, document, and graph data models through a common database… Read the review → |
Google Cloud Bigtable is a managed NoSQL database for high-throughput, low-latency applications built around key-value and wide-column data models. It is aimed at large datasets and workloads such as time-series data, operational… Read the review → |
Strengths and trade-offs
Aerospike Database — where it wins
- Strong consistency with distributed transactions
- Hybrid storage modes from in-memory to all-flash
- Cross-datacenter replication through XDR
Where it doesn't
- Community Edition is limited to 8-node clusters
- Community Edition supports up to 2.5 TB of data
- Enterprise Edition pricing requires contacting Aerospike
Google Cloud Bigtable — where it wins
- Supports key-value and wide-column data models at scale
- Offers autoscaling, replication, backups, and SQL querying
- Connects with BigQuery, Dataflow, Spark, Vertex AI, and LangChain
Where it doesn't
- No perpetual free plan
- Node-hour pricing can be relatively high
- Cloud deployment may not suit teams needing other models
- Aerospike Database9.1/10 · Free plan
A strong fit for high-scale, consistency-sensitive workloads across hybrid environments.
Visit AerospikeFull verdict → - Google Cloud Bigtable9.0/10 · 10-day trial
A scalable Bigtable service for analytical workloads, with broad integrations and usage-based pricing.
Visit Google CloudFull verdict →
More comparisons
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- Amazon DynamoDB vs Google Cloud Bigtable
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- Aerospike Database vs Oracle NoSQL Database
- Aerospike Database vs Amazon MemoryDB
- Aerospike Database vs etcd
- Aerospike Database vs Valkey
- Google Cloud Bigtable vs FoundationDB
All Key-Value databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






