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DBMS > Amazon DynamoDB vs. Apache Kylin vs. atoti vs. Faircom DB vs. RavenDB

System Properties Comparison Amazon DynamoDB vs. Apache Kylin vs. atoti vs. Faircom DB vs. RavenDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Kylin  Xexclude from comparisonatoti  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Key-value store
Relational DBMSObject oriented DBMSKey-value store
Relational DBMS
Document store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.85
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.38
Rank#145  Overall
#69  Relational DBMS
Score0.34
Rank#262  Overall
#14  Object oriented DBMS
Score0.44
Rank#247  Overall
#38  Key-value stores
#116  Relational DBMS
Score3.25
Rank#96  Overall
#16  Document stores
Websiteaws.amazon.com/­dynamodbkylin.apache.orgwww.atoti.iowww.faircom.com/­products/­faircom-dbravendb.net
Technical documentationdocs.aws.amazon.com/­dynamodbkylin.apache.org/­docslearn.faircomcorp.com/­developers/­documentation_directoryravendb.net/­docs
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncActiveViamFairCom CorporationHibernating Rhinos
Initial release2012201519792010
Current release3.1.0, July 2020V12, November 20205.3, November 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0commercial infofree versions availablecommercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaANSI C, C++C#
Server operating systemshostedLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresno
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)Multidimensional Expressions (MDX)yes, ANSI SQL with proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoPythonyes info.Net, JavaScript, C/C++yes
Triggersyes infoby integration with AWS Lambdayesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynoyesno
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 regiontunable from ACID to Eventually ConsistentACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
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)Fine grained access rights according to SQL-standard with additional protections for filesAccess control on document level using the Authorization Bundle
More information provided by the system vendor
Amazon DynamoDBApache KylinatotiFaircom DB infoformerly c-treeACERavenDB
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
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More resources
Amazon DynamoDBApache KylinatotiFaircom DB infoformerly c-treeACERavenDB
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