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DBMS > Lovefield vs. Microsoft Azure Data Explorer vs. PouchDB vs. Prometheus vs. RavenDB

System Properties Comparison Lovefield vs. Microsoft Azure Data Explorer vs. PouchDB vs. Prometheus vs. RavenDB

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptFully managed big data interactive analytics platformJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMS infocolumn orientedDocument storeTime Series DBMSDocument store
Secondary database modelsDocument 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
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­services/­data-explorerpouchdb.comprometheus.ioravendb.net
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­data-explorerpouchdb.com/­guidesprometheus.io/­docsravendb.net/­docs
DeveloperGoogleMicrosoftApache Software FoundationHibernating Rhinos
Initial release20142019201220152010
Current release2.1.12, February 2017cloud service with continuous releases7.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaScriptGoC#
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnoNumeric data onlyno
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.noyesnono infoImport of XML data possible
Secondary indexesyesall fields are automatically indexedyes infovia viewsnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternKusto Query Language (KQL), SQL subsetnonoSQL-like query language (RQL)
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, RView functions in JavaScriptnoyes
TriggersUsing read-only observersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencynoneDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyesno
User concepts infoAccess controlnoAzure Active Directory AuthenticationnonoAuthorization levels configured per client per database

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More resources
LovefieldMicrosoft Azure Data ExplorerPouchDBPrometheusRavenDB
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