DBMS > Google Cloud Bigtable vs. Google Cloud Spanner vs. VoltDB
System Properties Comparison Google Cloud Bigtable vs. Google Cloud Spanner vs. VoltDB
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Google Cloud Bigtable Xexclude from comparison||Google Cloud Spanner Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.||A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Key-value store|
Wide column store
|Relational DBMS||Relational DBMS|
|Current release||11.3, April 2022|
|License Commercial or Open Source||commercial||commercial||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||yes||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Java, C++|
|Server operating systems||hosted||hosted||Linux|
OS X for development
|Typing predefined data types such as float or date||no||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||no||yes Query statements complying to ANSI 2011||yes only a subset of SQL 99|
|APIs and other access methods||gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
|gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP/JSON API
|Supported programming languages||C#|
Erlang not officially supported
|Server-side scripts Stored procedures||no||no||Java|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Internal replication in Colossus, and regional replication between two clusters in different zones||Multi-source replication with 3 replicas for regional instances.||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)||Immediate Consistency|
|Foreign keys Referential integrity||no||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row operations||ACID Strict serializable isolation||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Users and roles with access to stored procedures|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Cloud Bigtable||Google Cloud Spanner||VoltDB|
|Recent citations in the news|
Google Cloud AI vs. Vertex AI: Comparison
Google Cloud Platform review: A solid but expensive service for ...
GOOGLE CLOUD NEXT23 — THE NEW GOOGLE WAY TO CLOUD ...
Top cloud certifications which IT contractors' clients are looking for ...
Google Introduces Zero-ETL Approach to Analytics on Bigtable Data ...
provided by Google News
Google Expands Duet AI in Google Cloud for App Development ...
How Google Cloud Is Leveraging Generative AI To Outsmart Competition
Google Supercharges Duet AI For DevOps
Google’s Cloud Spanner Data Boost is now generally available
Google Cloud Spanner Data Boost: Empowering Data Analysis ...
provided by Google News
10 Lesser-Known Databases. Discover Hidden Gems | by Abnoan ...
RDBMS Software Market Size [2023-2030] | Rising Trends, Growing ...
Data Management System (DBMS) Market Size, Growth | Global Report, 2030
Future of In-Memory Database Market by 2030 | Trends and Predictions
VoltDB Launches Active(N) Lossless Cross Data Center Replication
provided by Google News
Data Engineer GCP
Machine Learning Engineer
GCP Data Engineer - Only W2
Cloud Data Infrastructure Specialist
Principal Engineer, Query Processing, Spanner, Google Cloud
GCP Cloud Solution Engineer - Director
Software Engineering Manager
Senior/Lead GCP Data Engineer
Manager, Backend Engineering
Share this page