Head-to-head · Wide-Column Databases
Google Cloud Bigtable vs Cloudera Operational Database
Google Cloud Bigtable leads on 0 checks, Cloudera Operational Database on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreGoogle Cloud Bigtable · 9.1/10
- Free trialonly Google Cloud Bigtable
- Most featuresCloudera Operational Database · 3 of 3
Google Cloud Bigtable scores higher on our rubric for wide-column databases: 9.1 against 8.6 out of 10; our editors rank them #2 and #7.
Google Cloud Bigtable is the better fit for managed wide-column workloads with rich cloud integrations. Cloudera Operational Database is the better fit for enterprise HBase with SQL and governance.
- Google Cloud Bigtable fits best
Managed wide-column workloads with rich cloud integrations
- Cloudera Operational Database fits best
Enterprise HBase with SQL and governance
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Side by side
| Feature | Google Cloud Bigtable 9.1/10 Visit ↗ | Cloudera Operational Database 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.6 |
| Ranking | #2 in Wide-Column Databases | #7 in Wide-Column Databases |
| Best for | Managed wide-column workloads with rich cloud integrations | Enterprise HBase with SQL and governance |
| Pricing model | Paid | Paid |
| Starting price | $0.65/device usage-based | $0.08/unit usage-based |
| Free plan | — | — |
| Free trial | 10 days | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Integrations | 8 integrations | 9 integrations |
| Features Google Cloud Bigtable 0/3 · Cloudera Operational Database 3/3 | ||
| Multi-region support | Not checked yet | ✓ (best) |
| Transaction support | Not checked yet | ✓ (best) |
| Horizontal scaling | Not checked yet | ✓ (best) |
| Specs | ||
| Deployment model | Not checked yet | Both |
| Query interface | Not checked yet | Multiple |
| Consistency controls | Not checked yet | Configurable |
| Maximum row size | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Google Cloud Bigtable is a managed NoSQL database for high-throughput, low-latency applications built on key-value and wide-column data models. It is aimed at large datasets across time-series, operational analytics, machine learning, IoT,… Read the review → |
Cloudera Operational Database is a managed wide-column NoSQL database built on Apache HBase for real-time, high-throughput applications. It is aimed at enterprise teams running transactional, customer-facing, time-series, and other… Read the review → |
Strengths and trade-offs
Google Cloud Bigtable — where it wins
- Autoscaling, replication, backups, and expiration controls
- Supports GoogleSQL, HBase, Cassandra, gRPC, and REST/HTTP
- Integrates with BigQuery, Dataflow, Spark, Vertex AI, and LangChain
Where it doesn't
- Usage-based pricing includes node, storage, and network charges
- No perpetual free plan; the free trial starts at 10 days
- Cloud deployment may not suit workloads requiring other models
Cloudera Operational Database — where it wins
- Apache HBase with ANSI SQL through Apache Phoenix
- Integrated Apache Solr search with distributed transactions
- Failover, autoscaling, replication, and enterprise governance
Where it doesn't
- No free plan for evaluation or smaller workloads
- Pricing excludes infrastructure, networking, and other cloud costs
- The feature set may exceed teams needing a narrower database service
- Google Cloud Bigtable9.1/10 · 10-day trial
A scalable managed database for wide-column workloads with deep Google Cloud integration.
Visit Google CloudFull verdict → - Cloudera Operational Database8.6/10 · Paid
A governed HBase service with SQL, search, scaling, and hybrid-cloud deployment.
Visit ClouderaFull verdict →
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- Google Cloud Bigtable vs Apache HBase
- Google Cloud Bigtable vs DataStax Astra DB
- Azure Cosmos DB for Apache Cassandra vs Cloudera Operational Database
All Wide-Column databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






