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DBMS > 4D vs. atoti vs. Hawkular Metrics vs. LeanXcale

System Properties Comparison 4D vs. atoti vs. Hawkular Metrics vs. LeanXcale

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn 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 capabilities
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
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
Websitewww.4d.comatoti.iowww.hawkular.orgwww.leanxcale.com
Technical documentationdeveloper.4d.comdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer4D, IncActiveViamCommunity supported by Red HatLeanXcale
Initial release198420142015
Current releasev20, April 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen 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 languageJavaJava
Server operating systemsOS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyes infoclose to SQL 92Multidimensional Expressions (MDX)noyes infothrough Apache Derby
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages4D proprietary IDE
PHP
Go
Java
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresyesPythonno
Triggersyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, 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.noyesnoyes
User concepts infoAccess controlUsers and groupsno

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More resources
4D infoformer name: 4th DimensionatotiHawkular MetricsLeanXcale
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