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DBMS > Amazon DocumentDB vs. EventStoreDB vs. Hawkular Metrics vs. Manticore Search vs. Sequoiadb

System Properties Comparison Amazon DocumentDB vs. EventStoreDB vs. Hawkular Metrics vs. Manticore Search vs. Sequoiadb

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceIndustrial-strength, open-source database solution built from the ground up for event sourcing.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-storage database for search, including full-text search.NewSQL database with distributed OLTP and SQL
Primary database modelDocument storeEvent StoreTime Series DBMSSearch engineDocument store
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.eventstore.comwww.hawkular.orgmanticoresearch.comwww.sequoiadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperEvent Store LimitedCommunity supported by Red HatManticore SoftwareSequoiadb Ltd.
Initial release20192012201420172013
Current release21.2, February 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoGPL version 2Open Source infoServer: AGPL; Client: Apache V2
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++
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infooid, date, timestamp, binary, regex
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 XMLno
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsJavaScript
Triggersnoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
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 CassandraSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controlAccess rights for users and rolesnonosimple password-based access control

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More resources
Amazon DocumentDBEventStoreDBHawkular MetricsManticore SearchSequoiadb
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