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DBMS > Lovefield vs. Manticore Search vs. Microsoft Azure Data Explorer vs. RethinkDB

System Properties Comparison Lovefield vs. Manticore Search vs. Microsoft Azure Data Explorer vs. RethinkDB

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSSearch engineRelational DBMS infocolumn orientedDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Websitegoogle.github.io/­lovefieldmanticoresearch.comazure.microsoft.com/­services/­data-explorerrethinkdb.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docs
DeveloperGoogleManticore SoftwareMicrosoftThe Linux Foundation infosince July 2017
Initial release2014201720192009
Current release2.1.12, February 20176.0, February 2023cloud service with continuous releases2.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesFixed schemaFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infostring, binary, float, bool, date, geometry
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.noCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languageKusto Query Language (KQL), SQL subsetno
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesJavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnouser defined functionsYes, possible languages: KQL, Python, R
TriggersUsing read-only observersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnono
User concepts infoAccess controlnonoAzure Active Directory Authenticationyes infousers and table-level permissions

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More resources
LovefieldManticore SearchMicrosoft Azure Data ExplorerRethinkDB
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