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DBMS > Amazon SimpleDB vs. Geode vs. Google Cloud Bigtable vs. Sadas Engine vs. Snowflake

System Properties Comparison Amazon SimpleDB vs. Geode vs. Google Cloud Bigtable vs. Sadas Engine vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSadas Engine  Xexclude from comparisonSnowflake  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 ScioreGeode 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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeKey-value storeKey-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#145  Overall
#24  Key-value stores
Score2.38
Rank#123  Overall
#22  Key-value stores
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score0.06
Rank#371  Overall
#155  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­simpledbgeode.apache.orgcloud.google.com/­bigtablewww.sadasengine.comwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­simpledbgeode.apache.org/­docscloud.google.com/­bigtable/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleSADAS s.r.l.Snowflake Computing Inc.
Initial release20072002201520062014
Current release1.1, February 20178.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedAIX
Linux
Windows
hosted
Data schemeschema-freeschema-freeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nononoyes
Secondary indexesyes infoAll columns are indexed automaticallynonoyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noyesyes
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
CLI Client
JDBC
ODBC
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnonouser defined functions
Triggersnoyes infoCache Event Listenersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardinghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyes, on a single nodeAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon SimpleDBGeodeGoogle Cloud BigtableSadas EngineSnowflake
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