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DBMS > Amazon DynamoDB vs. Apache Druid vs. GridDB vs. Manticore Search vs. SQream DB

System Properties Comparison Amazon DynamoDB vs. Apache Druid vs. GridDB vs. Manticore Search vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Druid  Xexclude from comparisonGridDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable in-memory time series database optimized for IoT and Big DataMulti-storage database for search, including full-text search.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar Library
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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­dynamodbdruid.apache.orggriddb.netmanticoresearch.comsqream.com
Technical documentationdocs.aws.amazon.com/­dynamodbdruid.apache.org/­docs/­latest/­designdocs.griddb.netmanual.manticoresearch.comdocs.sqream.com
DeveloperAmazonApache Software Foundation and contributorsToshiba CorporationManticore SoftwareSQream Technologies
Initial release20122012201320172017
Current release29.0.1, April 20245.1, August 20226.0, February 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache license v2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2commercial
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 languageJavaC++C++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
Unix
LinuxFreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeyes infoschema-less columns are supportedyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes, ANSI Standard SQL Types
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.nonoCan index from XML
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL for queryingSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.Net
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functionsuser defined functions in Python
Triggersyes infoby integration with AWS Lambdanoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesSource-replica replicationSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonononono
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 regionnoACID at container levelyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
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)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databaseno
More information provided by the system vendor
Amazon DynamoDBApache DruidGridDBManticore SearchSQream DB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» 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 DynamoDBApache DruidGridDBManticore SearchSQream DB
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