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DBMS > Amazon DynamoDB vs. Citus vs. CrateDB vs. GigaSpaces

System Properties Comparison Amazon DynamoDB vs. Citus vs. CrateDB vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCitus  Xexclude from comparisonCrateDB  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed Date Store based on LuceneHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Search engine
Document store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsDocument storeDocument store
Time Series DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.46
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.77
Rank#135  Overall
#65  Relational DBMS
Score0.97
Rank#178  Overall
#86  Relational DBMS
#13  Search engines
Score0.97
Rank#175  Overall
#30  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­dynamodbwww.citusdata.comcrate.iowww.gigaspaces.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.citusdata.comcrate.io/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperAmazonCrateGigaspaces Technologies
Initial release2012201020132000
Current release8.1, December 201815.5, September 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoAGPL, commercial license also availableOpen SourceOpen Source infoApache Version 2; Commercial licenses available
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 languageCJavaJava, C++, .Net
Server operating systemshostedLinuxAll OS with a Java 7 (and higher) VMLinux
macOS
Solaris
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynono infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes, but no triggers and constraintsSQL-99 for query and DML statements
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsyes
Triggersyes infoby integration with AWS Lambdayesnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
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.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountsRole-based access control
More information provided by the system vendor
Amazon DynamoDBCitusCrateDBGigaSpaces
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
GigaSpaces, the pioneer of In-Memory Computing , drives enterprise digital transformation...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
​ AI Driven Autonomous Operations – GigaSpaces’ unique AI driven technology simplifies...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Application Acceleration, Smart Caching, BI Acceleration on Fresh Data, Digital Integration...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Morgan Stanley, Bank of America, Goldman Sachs, PriceRunner, Cerner, Societe Generale,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Forrester has positioned GigaSpaces as a strong performer in The Forrester Wave™:...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
GigaSpaces offers both open source and commercial editions with annual subscriptions....
» more

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More resources
Amazon DynamoDBCitusCrateDBGigaSpaces
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