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DBMS > Hawkular Metrics vs. LeanXcale vs. Machbase Neo vs. Microsoft Azure SQL Database vs. Spark SQL

System Properties Comparison Hawkular Metrics vs. LeanXcale vs. Machbase Neo vs. Microsoft Azure SQL Database vs. Spark SQL

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTimeSeries DBMS for AIoT and BigDataDatabase as a Service offering with high compatibility to Microsoft SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.hawkular.orgwww.leanxcale.commachbase.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasespark.apache.org/­sql
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­azure-sqlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCommunity supported by Red HatLeanXcaleMachbaseMicrosoftApache Software Foundation
Initial release20142015201320102014
Current releaseV8.0, August 2023V123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree test version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++Scala
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infothrough Apache DerbySQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
C
Java
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factoryes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovolatile and lookup tableno
User concepts infoAccess controlnosimple password-based access controlfine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsLeanXcaleMachbase Neo infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL AzureSpark SQL
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