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DBMS > Amazon SimpleDB vs. BigObject vs. Geode vs. Google Cloud Bigtable

System Properties Comparison Amazon SimpleDB vs. BigObject vs. Geode vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigObject  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for real-time computations and queriesGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websiteaws.amazon.com/­simpledbbigobject.iogeode.apache.orgcloud.google.com/­bigtable
Technical documentationdocs.aws.amazon.com/­simpledbdocs.bigobject.iogeode.apache.org/­docscloud.google.com/­bigtable/­docs
DeveloperAmazonBigObject, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Google
Initial release2007201520022015
Current release1.1, February 2017
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (OQL)no
APIs and other access methodsRESTful HTTP APIfluentd
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuauser defined functionsno
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoyes, on a single nodeAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon SimpleDBBigObjectGeodeGoogle Cloud Bigtable
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