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DBMS > eXtremeDB vs. FatDB vs. HugeGraph vs. Lovefield

System Properties Comparison eXtremeDB vs. FatDB vs. HugeGraph vs. Lovefield

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.A fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websitewww.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefield
Technical documentationwww.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperMcObjectFatCloudBaiduGoogle
Initial release2001201220182014
Current release8.2, 20210.92.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 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 languageC and C++C#JavaJavaScript
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
WindowsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLno infoVia inetgration in SQL ServernoSQL-like query language infovia JavaScript builder pattern
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#Groovy
Java
Python
JavaScript
Server-side scripts infoStored proceduresyesyes infovia applicationsasynchronous Gremlin script jobsno
Triggersyes infoby defining eventsyes infovia applicationsnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.yesyesyes infousing MemoryDB
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers, roles and permissionsno
More information provided by the system vendor
eXtremeDBFatDBHugeGraphLovefield
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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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...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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eXtremeDBFatDBHugeGraphLovefield
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