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DBMS > atoti vs. Hawkular Metrics vs. LeanXcale vs. ObjectBox

System Properties Comparison atoti vs. Hawkular Metrics vs. LeanXcale vs. ObjectBox

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonObjectBox  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 capabilitiesExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
Object oriented DBMS
Secondary database modelsTime Series DBMS
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
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Websiteatoti.iowww.hawkular.orgwww.leanxcale.comobjectbox.io
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.objectbox.io
DeveloperActiveViamCommunity supported by Red HatLeanXcaleObjectBox Limited
Initial release201420152017
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
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 languageJavaJavaC and C++
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
macOS
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infothrough Apache Derbyno
APIs and other access methodsHTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary native API
Supported programming languagesGo
Java
Python
Ruby
C
Java
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresPythonnono
Triggersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraonline/offline synchronization between client and server
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesnoyesno
User concepts infoAccess controlnoyes
More information provided by the system vendor
atotiHawkular MetricsLeanXcaleObjectBox
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atotiHawkular MetricsLeanXcaleObjectBox
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