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DBMS > Amazon DocumentDB vs. Firebolt vs. GeoMesa vs. Hawkular Metrics vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. Firebolt vs. GeoMesa vs. Hawkular Metrics vs. Manticore Search

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebolt  Xexclude from comparisonGeoMesa  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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.
Primary database modelDocument storeRelational DBMSSpatial DBMSTime Series DBMSSearch engine
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
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbwww.firebolt.iowww.geomesa.orgwww.hawkular.orgmanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.firebolt.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.com
DeveloperFirebolt Analytics Inc.CCRi and othersCommunity supported by Red HatManticore Software
Initial release20192020201420142017
Current release5.0.0, May 20246.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC++
Server operating systemshostedhostedLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nononoCan index from XML
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnonoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).Net
ODBC
RESTful HTTP API
HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersnononoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding infobased on CassandraSharding 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 replicasdepending on storage layerdepending on storage layerselectable replication factor infobased on CassandraSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 operationsnonoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storagenono

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More resources
Amazon DocumentDBFireboltGeoMesaHawkular MetricsManticore Search
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