DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Lovefield vs. Microsoft Azure Data Explorer vs. Yaacomo

System Properties Comparison Lovefield vs. Microsoft Azure Data Explorer vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptFully managed big data interactive analytics platformOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMS infocolumn orientedRelational DBMS
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)
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#275  Overall
#127  Relational DBMS
Score6.59
Rank#60  Overall
#34  Relational DBMS
Score0.00
Rank#348  Overall
#146  Relational DBMS
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­services/­data-exploreryaacomo.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperGoogleMicrosoftQ2WEB GmbH
Initial release201420192009
Current release2.1.12, February 2017cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAndroid
Linux
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes
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-typesyes
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.noyesno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, R
TriggersUsing read-only observersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyes
User concepts infoAccess controlnoAzure Active Directory Authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
LovefieldMicrosoft Azure Data ExplorerYaacomo
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, B├╝hler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
LovefieldMicrosoft Azure Data ExplorerYaacomo
Recent citations in the news

Seeq Recognizes its 2021 Reseller and Service Partners of the Year
18 January 2022, DC Velocity

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

Pave the way for a sustainable future with data and smart mobility solutions - Microsoft Industry Blogs
4 January 2022, Microsoft

Microsoft's Azure Data Share: How to use this big data tool
9 August 2021, TechRepublic

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

provided by Google News

Staying power: the growing impact of PostgreSQL on enterprise marks Postgres Vision 2021
15 June 2021, SiliconANGLE News

provided by Google News

Job opportunities

Software Engineer (Hybrid Mobile and Web Apps)
Universal Avionics Systems Corporation, Duluth, GA

Senior Software Engineer (Hybrid Mobile and Web Apps)
Universal Avionics Systems Corporation, Duluth, GA

Technical Support Engineering - Cosmos DB and Azure Data Explorer
Microsoft, Charlotte, NC

Data Engineer
Microsoft, Redmond, WA

Senior Data Scientist
Microsoft, Redmond, WA

Senior Cloud SIEM/Data Engineer(remote virtual home office)
Humana, Louisville, KY

Azure Data Engineer
Agama Solutions, Houston, TX

jobs by Indeed



Share this page

Featured Products

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Present your product here