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DBMS > Amazon DocumentDB vs. GeoSpock vs. Manticore Search vs. TerminusDB

System Properties Comparison Amazon DocumentDB vs. GeoSpock vs. Manticore Search vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 scaleMulti-storage database for search, including full-text search.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeRelational DBMSSearch engineGraph DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­documentdbgeospock.commanticoresearch.comterminusdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.comterminusdb.github.io/­terminusdb/­#
DeveloperGeoSpockManticore SoftwareDataChemist Ltd.
Initial release201920172018
Current release2.0, September 20196.0, February 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoGPL V3
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, JavascriptC++Prolog, Rust
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, 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.nonoCan index from XMLno
Secondary indexesyestemporal, categoricalyes infofull-text index on all search fields
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query languageSQL-like query language (WOQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSynchronous replication based on Galera libraryJournaling Streams
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 Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
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 writesACID
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 infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablenoRole-based access control

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More resources
Amazon DocumentDBGeoSpockManticore SearchTerminusDB infoformer name was DataChemist
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