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DBMS > Amazon DocumentDB vs. GreptimeDB vs. Manticore Search vs. Solr

System Properties Comparison Amazon DocumentDB vs. GreptimeDB vs. Manticore Search vs. Solr

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMulti-storage database for search, including full-text search.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeTime Series DBMSSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­documentdbgreptime.commanticoresearch.comsolr.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greptime.commanual.manticoresearch.comsolr.apache.org/­resources.html
DeveloperGreptime Inc.Manticore SoftwareApache Software Foundation
Initial release2019202220172006
Current release6.0, February 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++Java
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free, schema definition possibleFixed schemayes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infosupports customizable data types and automatic typing
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 XMLyes
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
HTTP API
JDBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Erlang
Go
Java
JavaScript
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoPythonuser defined functionsJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding 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 replicasSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic locking
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.yes
User concepts infoAccess controlAccess rights for users and rolesSimple rights management via user accountsnoyes
More information provided by the system vendor
Amazon DocumentDBGreptimeDBManticore SearchSolr
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Amazon DocumentDBGreptimeDBManticore SearchSolr
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