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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Hazelcast vs. Manticore Search vs. Microsoft Azure SQL Database

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Hazelcast vs. Manticore Search vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument storeTime Series DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.hawkular.orghazelcast.commanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperCommunity supported by Red HatHazelcastManticore SoftwareMicrosoft
Initial release20192014200820172010
Current release5.3.6, November 20236.0, February 2023V12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
macOS
Windows
hosted
Data schemeschema-freeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoyes infothe object must implement a serialization strategyCan index from XMLyes
Secondary indexesyesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesuser defined functionsTransact SQL
Triggersnoyes infovia Hawkular Alertingyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandrayes infoReplicated MapSynchronous replication based on Galera libraryyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoone or two-phase-commit; repeatable reads; read commitedyes 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 rolesnoRole-based access controlnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHawkular MetricsHazelcastManticore SearchMicrosoft Azure SQL Database infoformerly SQL Azure
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