Google Cloud Bigtable vs Infinispan

Google Cloud Bigtable9.0Visit IInfinispan7.3Visit

Higher score Google Cloud Bigtable #3 in Key-Value Databases 9.0/10 10-day trial Free trial✓ 3 of 3 features Visit Google Cloud

vs

I Infinispan #24 in Key-Value Databases 7.3/10 Free plan Free plan✓ 3 of 3 features Visit Infinispan

• Google Cloud Bigtable fits best

  Large-scale analytical and wide-column workloads

• Infinispan fits best

  Open-source Java-centric clustered data platforms

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Side by side

Feature	Google Cloud Bigtable 9.0/10 Visit ↗	IInfinispan 7.3/10 Visit ↗
At a glance
Editor score	9.0	7.3
Ranking	#3 in Key-Value Databases	#24 in Key-Value Databases
Best for	Large-scale analytical and wide-column workloads	Open-source Java-centric clustered data platforms
Pricing model	Paid	Free
Starting price	$0.65/device usage-based	Free plan
Free plan	—	✓ (best)
Free trial	10 days	—
Deployment	Cloud	Cloud, Self-hosted
Integrations	8 integrations	9 integrations
Features Google Cloud Bigtable 3/3 · Infinispan 3/3
TTL support	✓	✓
Clustering support	✓	✓
Multi-region support	✓	✓
Specs
Deployment model	Cloud	Self_hosted
Maximum value size	100 MB	Not checked yet
Persistence modes	Both	Both
Supported protocols	gRPC, REST/HTTP, Apache HBase API, Apache Cassandra API, GoogleSQL	Hot Rod, HTTP/REST, RESP3, Memcached
Our review
Pros	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	Distributed and replicated cache modes with cross-site replication ACID transactions, persistence, expiration, and multiple search options Spring, Hibernate/JPA, Quarkus, Kubernetes, and OpenShift integrations
Cons	No perpetual free plan Node-hour pricing can be relatively high Cloud deployment may not suit teams needing other models	Self-hosted deployment adds operational effort Its broad feature set may exceed the needs of simple caching projects Primarily suited to teams comfortable with Java and clustered infrastructure
Our verdict	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 →	Infinispan is an open-source distributed in-memory database and caching platform for applications that need low-latency data access, clustering, high availability, and replication across data centers. It is aimed particularly at… Read the review →

Strengths and trade-offs

• 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

• Infinispan — where it wins

  • Distributed and replicated cache modes with cross-site replication
  • ACID transactions, persistence, expiration, and multiple search options
  • Spring, Hibernate/JPA, Quarkus, Kubernetes, and OpenShift integrations

  Where it doesn't

  • Self-hosted deployment adds operational effort
  • Its broad feature set may exceed the needs of simple caching projects
  • Primarily suited to teams comfortable with Java and clustered infrastructure

• 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 →
• IInfinispan7.3/10 · Free plan

  A broad, Java-centered clustered data platform for self-hosted deployments.

  Visit InfinispanFull verdict →