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DBMS > Amazon DocumentDB vs. GeoSpock vs. Graphite vs. Heroic

System Properties Comparison Amazon DocumentDB vs. GeoSpock vs. Graphite vs. Heroic

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGraphite  Xexclude from comparisonHeroic  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websiteaws.amazon.com/­documentdbgeospock.comgithub.com/­graphite-project/­graphite-webgithub.com/­spotify/­heroic
Technical documentationaws.amazon.com/­documentdb/­resourcesgraphite.readthedocs.iospotify.github.io/­heroic
DeveloperGeoSpockChris DavisSpotify
Initial release201920062014
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptPythonJava
Server operating systemshostedhostedLinux
Unix
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.nononono
Secondary indexesyestemporal, categoricalnoyes infovia Elasticsearch
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCHTTP API
Sockets
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes
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 ConsistencyImmediate ConsistencynoneEventual Consistency
Immediate 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 operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesAccess rights for users can be defined per tableno

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More resources
Amazon DocumentDBGeoSpockGraphiteHeroic
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