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DBMS > Amazon DocumentDB vs. GreptimeDB vs. Infobright vs. Lovefield

System Properties Comparison Amazon DocumentDB vs. GreptimeDB vs. Infobright vs. Lovefield

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInfobright  Xexclude from comparisonLovefield  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 efficiencyHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational 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
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteaws.amazon.com/­documentdbgreptime.comignitetech.com/­softwarelibrary/­infobrightdbgoogle.github.io/­lovefield
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greptime.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGreptime Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Google
Initial release2019202220052014
Current release2.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustCJavaScript
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Erlang
Go
Java
JavaScript
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresnoPythonnono
TriggersnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesSimple rights management via user accountsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno
More information provided by the system vendor
Amazon DocumentDBGreptimeDBInfobrightLovefield
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 DocumentDBGreptimeDBInfobrightLovefield
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