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DBMS > atoti vs. Hawkular Metrics vs. LeanXcale vs. Valentina Server

System Properties Comparison atoti vs. Hawkular Metrics vs. LeanXcale vs. Valentina Server

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular 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 capabilitiesObject-relational database and reports server
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteatoti.iowww.hawkular.orgwww.leanxcale.comwww.valentina-db.net
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperActiveViamCommunity supported by Red HatLeanXcaleParadigma Software
Initial release201420151999
Current release5.7.5
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infothrough Apache Derbyyes
APIs and other access methodsHTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ODBC
Supported programming languagesGo
Java
Python
Ruby
C
Java
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresPythonnoyes
Triggersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandra
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 Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
atotiHawkular MetricsLeanXcaleValentina Server
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