DBMS > Google Cloud Bigtable vs. MySQL vs. TempoIQ
System Properties Comparison Google Cloud Bigtable vs. MySQL vs. TempoIQ
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Bigtable Xexclude from comparison||MySQL Xexclude from comparison||TempoIQ formerly TempoDB Xexclude from comparison|
|TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.|
|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.||Widely used open source RDBMS||Scalable analytics DBMS for sensor data, provided as a service (SaaS)|
|Primary database model||Key-value store|
Wide column store
|Relational DBMS Key/Value like access via memcached API||Time Series DBMS|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||TempoIQ|
|Current release||8.0.33, April 2023|
|License Commercial or Open Source||commercial||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++|
|Server operating systems||hosted||FreeBSD|
|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||yes||no|
|SQL Support of SQL||no||yes with proprietary extensions||no|
|APIs and other access methods||gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native API
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||yes proprietary syntax||no|
|Triggers||no||yes||yes Realtime Alerts|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric|
|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|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||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 not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row operations||ACID not for MyISAM storage engine||no|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Users with fine-grained authorization concept no user groups or roles||simple authentication-based access control|
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|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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|Google Cloud Bigtable||MySQL||TempoIQ formerly TempoDB|
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