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DBMS > atoti vs. Hawkular Metrics vs. LeanXcale vs. Transwarp ArgoDB

System Properties Comparison atoti vs. Hawkular Metrics vs. LeanXcale vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonTranswarp ArgoDB  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 capabilitiesDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.12
Rank#343  Overall
#151  Relational DBMS
Websiteatoti.iowww.hawkular.orgwww.leanxcale.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperActiveViamCommunity supported by Red HatLeanXcaleTranswarp
Initial release20142015
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
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
Supported programming languagesGo
Java
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresPythonno
Triggersyes infovia Hawkular Alerting
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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
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)yesyesyes
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.yesnoyes
User concepts infoAccess controlno

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More resources
atotiHawkular MetricsLeanXcaleTranswarp ArgoDB
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