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DBMS > Amazon DocumentDB vs. Google Cloud Bigtable vs. Hypertable vs. Hyprcubd vs. Warp 10

System Properties Comparison Amazon DocumentDB vs. Google Cloud Bigtable vs. Hypertable vs. Hyprcubd vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonHyprcubd  Xexclude from comparisonWarp 10  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source BigTable implementation based on distributed file systems such as HadoopServerless Time Series DBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value store
Wide column store
Wide column storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­bigtablehyprcubd.com (offline)www.warp10.io
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­bigtable/­docswww.warp10.io/­content/­02_Getting_started
DeveloperGoogleHypertable Inc.Hyprcubd, Inc.SenX
Initial release2019201520092015
Current release0.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava
Server operating systemshostedhostedLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyes infotime, int, uint, float, stringyes
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 indexesyesnorestricted infoonly exact value or prefix value scansnono
SQL infoSupport of SQLnononoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
gRPC (https)HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on HBase
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 zonesselectable replication factor on file system levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic single-row operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)notoken accessMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon DocumentDBGoogle Cloud BigtableHypertableHyprcubdWarp 10
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