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DBMS > Hawkular Metrics vs. HBase vs. MarkLogic vs. Sqrrl vs. Warp 10

System Properties Comparison Hawkular Metrics vs. HBase vs. MarkLogic vs. Sqrrl vs. Warp 10

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonSqrrl  Xexclude from comparisonWarp 10  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL databaseAdaptable, secure NoSQL built on Apache AccumuloTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.hawkular.orghbase.apache.orgwww.progress.com/­marklogicsqrrl.comwww.warp10.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlwww.progress.com/­marklogic/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.Amazon infooriginally Sqrrl Data, Inc.SenX
Initial release20142008200120122015
Current release2.3.4, January 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercial inforestricted free version is availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++JavaJava
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesyes
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 indexesnonoyesyesno
SQL infoSupport of SQLnonoyes infoSQL92nono
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes infovia XQuery or JavaScriptnoyes infoWarpScript
Triggersyes infovia Hawkular Alertingyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infomaking use of HadoopSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yesselectable replication factor infomaking use of Hadoopselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transactionAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Hawkular MetricsHBaseMarkLogicSqrrlWarp 10
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