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DBMS > Amazon DynamoDB vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. Raima Database Manager vs. Titan

System Properties Comparison Amazon DynamoDB vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. Raima Database Manager vs. Titan

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudMulti-storage database for search, including full-text search.Globally distributed, horizontally scalable, multi-model database serviceRDBMS with a small footprint, either embedded into an application or used as a database serverTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument store
Key-value store
Search engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Time Series DBMS
Graph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Websiteaws.amazon.com/­dynamodbmanticoresearch.comazure.microsoft.com/­services/­cosmos-dbraima.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.aws.amazon.com/­dynamodbmanual.manticoresearch.comlearn.microsoft.com/­azure/­cosmos-dbdocs.raima.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAmazonManticore SoftwareMicrosoftRaima Inc.Aurelius, owned by DataStax
Initial release20122017201419842012
Current release6.0, February 202315, June 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoGPL version 2commercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava
Server operating systemshostedFreeBSD
Linux
macOS
Windows
hostedAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infoJSON typesyesyes
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.Can index from XMLno infoExporting/Importing of XML structures possible
Secondary indexesyesyes infofull-text index on all search fieldsyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Objective-C
PL/SQL
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes
Triggersyes infoby integration with AWS LambdanoJavaScriptyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicehorizontal partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes infoRelationships in graph
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 regionyes infoisolated transactions for atomic changes and binary logging for safe writesMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights can be defined down to the item levelnoUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Amazon DynamoDBManticore SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRaima Database Manager infoformerly named db_VistaTitan
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBManticore SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRaima Database Manager infoformerly named db_VistaTitan
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