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

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

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCachelot.io  Xexclude from comparisonFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.In-memory caching systemOrdered key-value store. Core features are complimented by layers.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 modelObject oriented DBMSKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSKey-value store
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#383  Overall
#60  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websiteatoti.iocachelot.iogithub.com/­apple/­foundationdbwww.hawkular.orgwww.leanxcale.com
Technical documentationdocs.atoti.ioapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperActiveViamFoundationDBCommunity supported by Red HatLeanXcale
Initial release2015201320142015
Current release6.2.28, November 2020
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or datenono infosome layers support typingyes
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 indexesnonono
SQL infoSupport of SQLMultidimensional Expressions (MDX)nosupported in specific SQL layer onlynoyes 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
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresPythonnoin SQL-layer onlyno
Triggersnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnonono

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More resources
atotiCachelot.ioFoundationDBHawkular MetricsLeanXcale
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