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DBMS > Brytlyt vs. Hawkular Metrics vs. LokiJS vs. MarkLogic vs. Microsoft Azure Table Storage

System Properties Comparison Brytlyt vs. Hawkular Metrics vs. LokiJS vs. MarkLogic vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitebrytlyt.iowww.hawkular.orggithub.com/­techfort/­LokiJSwww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.brytlyt.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJSdocs.marklogic.com
DeveloperBrytlytCommunity supported by Red HatMarkLogic Corp.Microsoft
Initial release20162014201420012012
Current release5.0, August 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJavaJavaScriptC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
hosted
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yes infospecific XML-type available, but no XML query functionality.nonoyesno
Secondary indexesyesnoyes infovia viewsyesno
SQL infoSupport of SQLyesnonoyes infoSQL92no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTJavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
Python
Ruby
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoView functions in JavaScriptyes infovia XQuery or JavaScriptno
Triggersyesyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandranoneyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signatures

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More resources
BrytlytHawkular MetricsLokiJSMarkLogicMicrosoft Azure Table Storage
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