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DBMS > Hawkular Metrics vs. LevelDB vs. Sadas Engine vs. Splice Machine vs. Valentina Server

System Properties Comparison Hawkular Metrics vs. LevelDB vs. Sadas Engine vs. Splice Machine vs. Valentina Server

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkObject-relational database and reports server
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.hawkular.orggithub.com/­google/­leveldbwww.sadasengine.comsplicemachine.comwww.valentina-db.net
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-worksvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCommunity supported by Red HatGoogleSADAS s.r.l.Splice MachineParadigma Software
Initial release20142011200620141999
Current release1.23, February 20218.03.1, March 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageJavaC++C++Java
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesyesyes
APIs and other access methodsHTTP RESTJDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infoJavayes
Triggersyes infovia Hawkular Alertingnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsLevelDBSadas EngineSplice MachineValentina Server
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