DBMS > Google Cloud Bigtable vs. HarperDB
System Properties Comparison Google Cloud Bigtable vs. HarperDB
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Bigtable Xexclude from comparison||HarperDB 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.||Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.|
|Primary database model||Key-value store|
Wide column store
|Current release||3.1, August 2021|
|License Commercial or Open Source||commercial||commercial free community edition available|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Data scheme||schema-free||dynamic schema|
|Typing predefined data types such as float or date||no||yes JSON data types|
|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||SQL-like data manipulation statements|
|APIs and other access methods||gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP/JSON API
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Custom Functions since release 3.1|
|Partitioning methods Methods for storing different data on different nodes||Sharding||A table resides as a whole on one (or more) nodes in a cluster|
|Replication methods Methods for redundantly storing data on multiple nodes||Internal replication in Colossus, and regional replication between two clusters in different zones||yes the nodes on which a table resides can be defined|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||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||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row operations||Atomic execution of specific operations|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes, using LMDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Access rights for users and roles|
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|Google Cloud Bigtable||HarperDB|
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