NoSQL Databases

Amazon DocumentDB vs Bigtable

Compare Amazon DocumentDB and Bigtable side-by-side. See feature differences and pricing in the NoSQL Databases category.

Amazon DocumentDB

by Amazon

No reviews yet

Pricing: Usage-based, US East (Ohio): Serverless $0.0822 per DCU-hour, db.r8g.large instance $0.276 an hour, Elastic Clusters $0.132 per vCPU-hour, plus storage and I/O; one-month trial

Amazon DocumentDB is AWS's managed document database for apps built on MongoDB APIs and drivers, run on serverless capacity, instances or sharded clusters.

13 /18 features Full profile

Bigtable

by Google

No reviews yet

Pricing: Per node in Iowa: Enterprise $0.65 an hour ($474.50 a month), Enterprise Plus $0.85 an hour ($620.50 a month); storage and egress extra; 10-day no-cost trial, extendable to 90 days

Bigtable is Google Cloud's managed wide-column NoSQL database with HBase and Cassandra APIs, billed per node, for apps needing fast key lookups on huge tables.

6 /18 features Full profile

Feature Comparison

NoSQL Databases features side-by-side

Feature	Amazon DocumentDB 13/18 features	Bigtable 6/18 features
Schemaless document storage Records in one collection can carry different fields with no predefined table definition or migration.	Yes	No
Secondary indexes on any field Indexes on nested fields or array elements, not only on the primary key or partition key.	Yes	No
Multi-document ACID transactions Writes touching several documents, rows or collections commit or roll back together.	Yes	No
Automatic sharding across nodes Data partitioned and rebalanced across servers by a shard key without manual resharding.	Yes	Yes
Tunable consistency per operation Read and write consistency chosen per request, from eventual to majority or strong.	Yes	No
Multi-region active-active writes Writes accepted in more than one geographic region with conflict handling between them.	No	Yes
Server-side aggregation pipelines Group, join and transform documents inside the database instead of in application code.	Yes	No
Change streams for downstream consumers Applications subscribe to inserts, updates and deletes as an ordered, resumable event feed.	Yes	Yes
Time-to-live expiry on records Documents or rows are deleted automatically once a per-record expiry timestamp passes.	Yes	Yes
Integrated full-text search on documents Text indexes with relevance ranking built into the database, with no separate search cluster to run.	Yes	No
Vector search on embedded fields Embeddings stored on documents and queried by nearest neighbor alongside ordinary filters.	Yes	Yes
Multi-model data access The same engine serves documents plus key-value, graph or wide-column access patterns.	No	No
Collection-level access roles Permissions granted per database and per collection or table to named roles.	Yes	Yes
Client-side field-level encryption Selected fields are encrypted by the driver before leaving the application and are unreadable by the server.	Yes	No
Continuous backup with point-in-time restore Oplog or commit-log backups let you restore a cluster to any second within the retention window.	Yes	No
Embedded mobile database with sync A device-side database that syncs with the server cluster for offline-first mobile apps.	No	No
Open source community edition A community edition whose source is public and which can be self-hosted without a commercial license.	No	No
Serverless on-demand capacity pricing Capacity billed per request or per operation, with no instance to size in advance.	No	No
Overall Rating	No reviews yet	No reviews yet

Amazon DocumentDB 13/18 features

Schemaless document storage: Yes
Secondary indexes on any field: Yes
Multi-document ACID transactions: Yes
Automatic sharding across nodes: Yes
Tunable consistency per operation: Yes
Multi-region active-active writes: No
Server-side aggregation pipelines: Yes
Change streams for downstream consumers: Yes
Time-to-live expiry on records: Yes
Integrated full-text search on documents: Yes
Vector search on embedded fields: Yes
Multi-model data access: No
Collection-level access roles: Yes
Client-side field-level encryption: Yes
Continuous backup with point-in-time restore: Yes
Embedded mobile database with sync: No
Open source community edition: No
Serverless on-demand capacity pricing: No

No reviews yet

Bigtable 6/18 features

Schemaless document storage: No
Secondary indexes on any field: No
Multi-document ACID transactions: No
Automatic sharding across nodes: Yes
Tunable consistency per operation: No
Multi-region active-active writes: Yes
Server-side aggregation pipelines: No
Change streams for downstream consumers: Yes
Time-to-live expiry on records: Yes
Integrated full-text search on documents: No
Vector search on embedded fields: Yes
Multi-model data access: No
Collection-level access roles: Yes
Client-side field-level encryption: No
Continuous backup with point-in-time restore: No
Embedded mobile database with sync: No
Open source community edition: No
Serverless on-demand capacity pricing: No

No reviews yet

Pricing

Amazon DocumentDB

Usage-based, US East (Ohio): Serverless $0.0822 per DCU-hour, db.r8g.large instance $0.276 an hour, Elastic Clusters $0.132 per vCPU-hour, plus storage and I/O; one-month trial

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Bigtable

Per node in Iowa: Enterprise $0.65 an hour ($474.50 a month), Enterprise Plus $0.85 an hour ($620.50 a month); storage and egress extra; 10-day no-cost trial, extendable to 90 days

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