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DBMS > Amazon DocumentDB vs. EXASOL vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. EXASOL vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEXASOL  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Multi-storage database for search, including full-text search.
Primary database modelDocument storeRelational 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
Score1.89
Rank#137  Overall
#24  Document stores
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbwww.exasol.commanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.exasol.com/­resourcesmanual.manticoresearch.com
DeveloperExasolManticore Software
Initial release201920002017
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesInt, 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.nonoCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).Net
JDBC
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding 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 replicasSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
Amazon DocumentDBEXASOLManticore Search
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