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DBMS > Amazon DynamoDB vs. Cassandra vs. Solr vs. Ultipa

System Properties Comparison Amazon DynamoDB vs. Cassandra vs. Solr vs. Ultipa

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCassandra  Xexclude from comparisonSolr  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA widely used distributed, scalable search engine based on Apache LuceneHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Key-value store
Wide column storeSearch engineGraph DBMS
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score98.83
Rank#12  Overall
#1  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteaws.amazon.com/­dynamodbcassandra.apache.orgsolr.apache.orgwww.ultipa.com
Technical documentationdocs.aws.amazon.com/­dynamodbcassandra.apache.org/­doc/­latestsolr.apache.org/­resources.htmlwww.ultipa.com/­document
DeveloperAmazonApache Software Foundation infoApache top level project, originally developped by FacebookApache Software FoundationUltipa
Initial release2012200820062019
Current release4.1.3, July 20239.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache version 2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJava
Server operating systemshostedBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.noyes
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)Solr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJava plugins
Triggersyes infoby integration with AWS Lambdayesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynonono
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 regionno infoAtomicity and isolation are supported for single operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per objectyes
More information provided by the system vendor
Amazon DynamoDBCassandraSolrUltipa
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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