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DBMS > Amazon SimpleDB vs. Google Cloud Bigtable vs. Graphite vs. GridGain vs. SwayDB

System Properties Comparison Amazon SimpleDB vs. Google Cloud Bigtable vs. Graphite vs. GridGain vs. SwayDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonGridGain  Xexclude from comparisonSwayDB  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 ScioreGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGridGain is an in-memory computing platform, built on Apache IgniteAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeKey-value store
Wide column store
Time Series DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.gridgain.comswaydb.simer.au
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.gridgain.com/­docs/­index.html
DeveloperAmazonGoogleChris DavisGridGain Systems, Inc.Simer Plaha
Initial release20072015200620072018
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava, C++, .NetScala
Server operating systemshostedhostedLinux
Unix
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoNumeric data onlyyesno
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.nonoyesno
Secondary indexesyes infoAll columns are indexed automaticallynonoyesno
SQL infoSupport of SQLnononoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononoyes (compute grid and cache interceptors can be used instead)no
Triggersnononoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic single-row operationsnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noSecurity Hooks for custom implementationsno

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More resources
Amazon SimpleDBGoogle Cloud BigtableGraphiteGridGainSwayDB
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