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DBMS > Amazon SimpleDB vs. Axibase vs. CrateDB vs. SWC-DB

System Properties Comparison Amazon SimpleDB vs. Axibase vs. CrateDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAxibase  Xexclude from comparisonCrateDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 ScioreScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDistributed Database based on LuceneA high performance, scalable Wide Column DBMS
Primary database modelKey-value storeTime Series DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column store
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteaws.amazon.com/­simpledbaxibase.com/­docs/­atsd/­financecratedb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.aws.amazon.com/­simpledbcratedb.com/­docs
DeveloperAmazonAxibase CorporationCrateAlex Kashirin
Initial release2007201320132020
Current release155850.5, April 2021
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyes infoshort, integer, long, float, double, decimal, 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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynoyes
SQL infoSupport of SQLnoSQL-like query languageyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C++
Server-side scripts infoStored proceduresnoyesuser defined functions (Javascript)no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnono infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accounts

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More resources
Amazon SimpleDBAxibaseCrateDBSWC-DB infoSuper Wide Column Database
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