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DBMS > atoti vs. Cachelot.io vs. Hawkular Metrics vs. LeanXcale

System Properties Comparison atoti vs. Cachelot.io vs. Hawkular Metrics vs. LeanXcale

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCachelot.io  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.In-memory caching systemHawkular 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 capabilities
Primary database modelObject oriented DBMSKey-value storeTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#249  Overall
#10  Object oriented DBMS
Score0.00
Rank#397  Overall
#64  Key-value stores
Score0.07
Rank#366  Overall
#38  Time Series DBMS
Score0.33
Rank#287  Overall
#38  Key-value stores
#132  Relational DBMS
Websiteatoti.iocachelot.iowww.hawkular.orgwww.leanxcale.com
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperActiveViamCommunity supported by Red HatLeanXcale
Initial release201520142015
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0commercial
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 languageJavaC++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoyes infothrough Apache Derby
APIs and other access methodsMemcached protocolHTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresPythonnono
Triggersnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnono

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More resources
atotiCachelot.ioHawkular MetricsLeanXcale
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