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

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

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSadas Engine  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeKey-value storeKey-value store
Wide column store
Graph 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
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score0.06
Rank#371  Overall
#155  Relational DBMS
Websiteaws.amazon.com/­simpledbgeode.apache.orgcloud.google.com/­bigtablejanusgraph.orgwww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­simpledbgeode.apache.org/­docscloud.google.com/­bigtable/­docsdocs.janusgraph.orgwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleLinux Foundation; originally developed as Titan by AureliusSADAS s.r.l.
Initial release20072002201520172006
Current release1.1, February 20170.6.3, February 20238.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Unix
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallynonoyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)nonoyes
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)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Proprietary protocol
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
Clojure
Java
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyesno
Triggersnoyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Faunus, a graph analytics engineno
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)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
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 persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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'
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)User authentification and security via Rexster Graph ServerAccess rights for users, groups and roles according to SQL-standard

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Amazon SimpleDBGeodeGoogle Cloud BigtableJanusGraph infosuccessor of TitanSadas Engine
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