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DBMS > Amazon DocumentDB vs. GreptimeDB vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. GreptimeDB vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app developmentWidely used in-process key-value storeOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeTime Series DBMSSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­documentdbgreptime.comazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greptime.comlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGreptime Inc.MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleQ2WEB GmbH
Initial release20192022201519942009
Current releaseV118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Linux
Windows
Data schemeschema-freeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
HTTP API
JDBC
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoPythonnono
Triggersnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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 operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesSimple rights management via user accountsyes infousing Azure authenticationnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBGreptimeDBMicrosoft Azure AI SearchOracle Berkeley DBYaacomo
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 DocumentDBGreptimeDBMicrosoft Azure AI SearchOracle Berkeley DBYaacomo
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