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DBMS > Amazon DocumentDB vs. Galaxybase vs. Google Cloud Bigtable vs. SingleStore

System Properties Comparison Amazon DocumentDB vs. Galaxybase vs. Google Cloud Bigtable vs. SingleStore

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable, ACID-compliant native distributed parallel graph platformGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeGraph DBMSKey-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteaws.amazon.com/­documentdbgalaxybase.comcloud.google.com/­bigtablewww.singlestore.com
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­bigtable/­docsdocs.singlestore.com
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleSingleStore Inc.
Initial release2019201720152013
Current releaseNov 20, November 20218.5, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC++, Go
Server operating systemshostedLinuxhostedLinux info64 bit version required
Data schemeschema-freeStrong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnononoyes infobut no triggers and foreign keys
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined procedures and functionsnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Fine grained access control via users, groups and roles

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More resources
Amazon DocumentDBGalaxybaseGoogle Cloud BigtableSingleStore infoformer name was MemSQL
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