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DBMS > Cachelot.io vs. EsgynDB vs. eXtremeDB vs. Greenplum vs. Lovefield

System Properties Comparison Cachelot.io vs. EsgynDB vs. eXtremeDB vs. Greenplum vs. Lovefield

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonEsgynDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreenplum  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionIn-memory caching systemEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNatively in-memory DBMS with options for persistency, high-availability and clusteringAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Embeddable relational database for web apps written in pure JavaScript
Primary database modelKey-value storeRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitecachelot.iowww.esgyn.cnwww.mcobject.comgreenplum.orggoogle.github.io/­lovefield
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.greenplum.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperEsgynMcObjectPivotal Software Inc.Google
Initial release20152015200120052014
Current release8.2, 20217.0.0, September 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageC++C++, JavaC and C++JavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono infosupport of XML interfaces availableyes infosince Version 4.2no
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infowith the option: eXtremeSQLyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsMemcached protocolADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Java
Lua
Python
Scala
C
Java
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyesno
Triggersnonoyes infoby defining eventsyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning / shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentnoyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
Cachelot.ioEsgynDBeXtremeDBGreenplumLovefield
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Cachelot.ioEsgynDBeXtremeDBGreenplumLovefield
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